Mercury Decide
Explore Mercury Decide: exact decision configuration, published specifications, source-linked benchmarks and API tariffs when available.
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Published API tariff
Inception Decisions API · checked 2026-10-20
Current official50% launch tariff: $0.02 per million input tokens, regularly$0.04; output tokens free. Source publishes zero cached-input price. Multi-question requests may repeat billed state input, as independently observed by Vals; do not assume one shared-state charge. Expiry unpublished. Separate verified OpenRouter :free offer has zero input/output/cache rates; this is an offer of the same hosted model, not another checkpoint. Vals historical $0.021 tariff and workload costs are dated study observations, not current prices.
No output-token charge does not mean free requests. These are provider tariffs, separate from benchmark workload costs.
608 recorded observations. Published results retain their source and setup; no Examenos evaluation was run. Missing results are not zero. How to read these comparisons →
Independent · Artificial Analysis
| Evaluation | Result | Evidence |
|---|---|---|
| AA Decision Index v1.0 | 53 | Setup & sourceFour equally weighted evaluations: AA-Omniscience-Decision, HLE-MultiChoice (513 text-only questions), When2Call and WildGuardTest. Named Mercury Decide hosted Decision endpoint; AA Decisions v1.0. Exact execution dates, precision and serving weight SHA are unpublished. Manual browser observation; no automated AA adapter. Calibration curves have no single published scalar to infer. Independent AA results. Omniscience splits its 25% between accuracy and non-hallucination. Displayed integer chart values, not undisclosed precise values. No automated AA import or refresh adapter. Checked / reported: 2026-10-20 · Samples: Not published Snapshot: 2026-10-17 · Revision: Manually checked chart · 2026-10-17 · Published observations; result reuse terms not specified Result source · Benchmark source |
| AA Decisions v1 · AA-Omniscience-Decision accuracy | 35% | Setup & sourceAA Decisions v1 · AA-Omniscience-Decision accuracy Named Mercury Decide hosted Decision endpoint; AA Decisions v1.0. Exact execution dates, precision and serving weight SHA are unpublished. Manual browser observation; no automated AA adapter. Calibration curves have no single published scalar to infer. Source-rounded chart label manually verified, not hidden precise data. Five capability components feed the four-benchmark index. Task cost is average workload cost at source current prices, not a token tariff. Time is median across tasks, not a controlled provider benchmark. Checked / reported: 2026-10-20 · Samples: Not published Snapshot: 2026-10-20 · Revision: Manual rendered chart labels · 2026-10-20 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| AA Decisions v1 · AA-Omniscience-Decision non-hallucination | 32% | Setup & sourceAA Decisions v1 · AA-Omniscience-Decision non-hallucination Named Mercury Decide hosted Decision endpoint; AA Decisions v1.0. Exact execution dates, precision and serving weight SHA are unpublished. Manual browser observation; no automated AA adapter. Calibration curves have no single published scalar to infer. Source-rounded chart label manually verified, not hidden precise data. Five capability components feed the four-benchmark index. Task cost is average workload cost at source current prices, not a token tariff. Time is median across tasks, not a controlled provider benchmark. Checked / reported: 2026-10-20 · Samples: Not published Snapshot: 2026-10-20 · Revision: Manual rendered chart labels · 2026-10-20 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| AA Decisions v1 · HLE-MultiChoice | 10% | Setup & sourceAA Decisions v1 · HLE-MultiChoice Named Mercury Decide hosted Decision endpoint; AA Decisions v1.0. Exact execution dates, precision and serving weight SHA are unpublished. Manual browser observation; no automated AA adapter. Calibration curves have no single published scalar to infer. Source-rounded chart label manually verified, not hidden precise data. Five capability components feed the four-benchmark index. Task cost is average workload cost at source current prices, not a token tariff. Time is median across tasks, not a controlled provider benchmark. Checked / reported: 2026-10-20 · Samples: Not published Snapshot: 2026-10-20 · Revision: Manual rendered chart labels · 2026-10-20 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| AA Decisions v1 · When2Call | 79% | Setup & sourceAA Decisions v1 · When2Call Named Mercury Decide hosted Decision endpoint; AA Decisions v1.0. Exact execution dates, precision and serving weight SHA are unpublished. Manual browser observation; no automated AA adapter. Calibration curves have no single published scalar to infer. Source-rounded chart label manually verified, not hidden precise data. Five capability components feed the four-benchmark index. Task cost is average workload cost at source current prices, not a token tariff. Time is median across tasks, not a controlled provider benchmark. Checked / reported: 2026-10-20 · Samples: Not published Snapshot: 2026-10-20 · Revision: Manual rendered chart labels · 2026-10-20 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| AA Decisions v1 · WildGuardTest average F1 | 88% | Setup & sourceAA Decisions v1 · WildGuardTest average F1 Named Mercury Decide hosted Decision endpoint; AA Decisions v1.0. Exact execution dates, precision and serving weight SHA are unpublished. Manual browser observation; no automated AA adapter. Calibration curves have no single published scalar to infer. Source-rounded chart label manually verified, not hidden precise data. Five capability components feed the four-benchmark index. Task cost is average workload cost at source current prices, not a token tariff. Time is median across tasks, not a controlled provider benchmark. Checked / reported: 2026-10-20 · Samples: Not published Snapshot: 2026-10-20 · Revision: Manual rendered chart labels · 2026-10-20 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| AA Decisions v1 · Median time per task | 500 ms | Setup & sourceAA Decisions v1 · Median time per task Named Mercury Decide hosted Decision endpoint; AA Decisions v1.0. Exact execution dates, precision and serving weight SHA are unpublished. Manual browser observation; no automated AA adapter. Calibration curves have no single published scalar to infer. Source-rounded chart label manually verified, not hidden precise data. Five capability components feed the four-benchmark index. Task cost is average workload cost at source current prices, not a token tariff. Time is median across tasks, not a controlled provider benchmark. Checked / reported: 2026-10-20 · Samples: Not published Snapshot: 2026-10-20 · Revision: Manual rendered chart labels · 2026-10-20 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| AA Decisions v1 · Cost per million tasks | 15 USD/1M tasks | Setup & sourceAA Decisions v1 · Cost per million tasks Named Mercury Decide hosted Decision endpoint; AA Decisions v1.0. Exact execution dates, precision and serving weight SHA are unpublished. Manual browser observation; no automated AA adapter. Calibration curves have no single published scalar to infer. Source-rounded chart label manually verified, not hidden precise data. Five capability components feed the four-benchmark index. Task cost is average workload cost at source current prices, not a token tariff. Time is median across tasks, not a controlled provider benchmark. Checked / reported: 2026-10-20 · Samples: Not published Snapshot: 2026-10-20 · Revision: Manual rendered chart labels · 2026-10-20 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
Independent · JevBench
| Evaluation | Result | Evidence |
|---|---|---|
| JevBench · aegis2 · accuracy | 84.00% | Setup & sourceJevBench Headline: aegis2 · accuracy Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "aegis2", "type": "noul", "cases": "500", "coverage": "100.0%", "value": "0.8400", "95% CI": "[0.808, 0.870]", "metric": "accuracy"}. Runtime diagnostics {"slice": "aegis2", "p50 ms": "623", "p95 ms": "5289", "p99 ms": "6059", "mean input tokens": "180", "total input tokens": "90,031", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 · Source 95% CI: 80.80000000000001–87 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · aegis2_response · accuracy | 77.20% | Setup & sourceJevBench Headline: aegis2_response · accuracy Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "aegis2_response", "type": "noul", "cases": "500", "coverage": "100.0%", "value": "0.7720", "95% CI": "[0.734, 0.810]", "metric": "accuracy"}. Runtime diagnostics {"slice": "aegis2_response", "p50 ms": "564", "p95 ms": "1376", "p99 ms": "1831", "mean input tokens": "282", "total input tokens": "140,800", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 · Source 95% CI: 73.4–81 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · atbench500 · accuracy | 68.80% | Setup & sourceJevBench Headline: atbench500 · accuracy Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "atbench500", "type": "noul", "cases": "500", "coverage": "100.0%", "value": "0.6880", "95% CI": "[0.646, 0.730]", "metric": "accuracy"}. Runtime diagnostics {"slice": "atbench500", "p50 ms": "851", "p95 ms": "1790", "p99 ms": "2262", "mean input tokens": "1895", "total input tokens": "947,364", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 · Source 95% CI: 64.60000000000001–73 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · banking77 · accuracy | 89.90% | Setup & sourceJevBench Headline: banking77 · accuracy Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "banking77", "type": "choice", "cases": "1000", "coverage": "100.0%", "value": "0.8990", "95% CI": "[0.875, 0.924]", "metric": "accuracy"}. Runtime diagnostics {"slice": "banking77", "p50 ms": "854", "p95 ms": "1951", "p99 ms": "2792", "mean input tokens": "1599", "total input tokens": "1,599,482", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1000 · Source 95% CI: 87.5–92.4 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · helpsteer2_helpfulness · mae_expected_level | 0.9469 MAE | Setup & sourceJevBench Headline: helpsteer2_helpfulness · mae_expected_level Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "helpsteer2_helpfulness", "type": "score", "cases": "500", "coverage": "100.0%", "value": "0.9469", "95% CI": "[0.878, 1.017]", "metric": "mae_expected_level"}. Runtime diagnostics {"slice": "helpsteer2_helpfulness", "p50 ms": "924", "p95 ms": "6076", "p99 ms": "6843", "mean input tokens": "670", "total input tokens": "335,063", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 · Source 95% CI: 0.878–1.017 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · jailbreak_classification · accuracy | 96.75% | Setup & sourceJevBench Headline: jailbreak_classification · accuracy Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "jailbreak_classification", "type": "noul", "cases": "400", "coverage": "100.0%", "value": "0.9675", "95% CI": "[0.950, 0.983]", "metric": "accuracy"}. Runtime diagnostics {"slice": "jailbreak_classification", "p50 ms": "577", "p95 ms": "1288", "p99 ms": "1876", "mean input tokens": "388", "total input tokens": "155,110", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 400 · Source 95% CI: 95–98.3 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpbench_server_routing · server_routing_accuracy | 100.00% | Setup & sourceJevBench Headline: mcpbench_server_routing · server_routing_accuracy Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpbench_server_routing", "type": "choice", "cases": "112", "coverage": "100.0%", "value": "1.0000", "95% CI": "[1.000, 1.000]", "metric": "server_routing_accuracy"}. Runtime diagnostics {"slice": "mcpbench_server_routing", "p50 ms": "852", "p95 ms": "1950", "p99 ms": "2237", "mean input tokens": "867", "total input tokens": "97,113", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 112 · Source 95% CI: 100–100 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpbench_tool_selection · tool_selection_accuracy | 100.00% | Setup & sourceJevBench Headline: mcpbench_tool_selection · tool_selection_accuracy Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpbench_tool_selection", "type": "choice", "cases": "26", "coverage": "100.0%", "value": "1.0000", "95% CI": "n/a", "metric": "tool_selection_accuracy"}. Runtime diagnostics {"slice": "mcpbench_tool_selection", "p50 ms": "773", "p95 ms": "2045", "p99 ms": "2180", "mean input tokens": "755", "total input tokens": "19,632", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 26 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpmark_server_routing · server_routing_accuracy | 57.10% | Setup & sourceJevBench Headline: mcpmark_server_routing · server_routing_accuracy Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpmark_server_routing", "type": "choice", "cases": "338", "coverage": "100.0%", "value": "0.5710", "95% CI": "[0.500, 0.645]", "metric": "server_routing_accuracy"}. Runtime diagnostics {"slice": "mcpmark_server_routing", "p50 ms": "545", "p95 ms": "1223", "p99 ms": "1453", "mean input tokens": "248", "total input tokens": "83,834", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 338 · Source 95% CI: 50–64.5 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpmark_tool_selection · tool_selection_accuracy | 100.00% | Setup & sourceJevBench Headline: mcpmark_tool_selection · tool_selection_accuracy Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpmark_tool_selection", "type": "choice", "cases": "18", "coverage": "100.0%", "value": "1.0000", "95% CI": "n/a", "metric": "tool_selection_accuracy"}. Runtime diagnostics {"slice": "mcpmark_tool_selection", "p50 ms": "683", "p95 ms": "3488", "p99 ms": "3488", "mean input tokens": "402", "total input tokens": "7,245", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 18 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · medmcqa · accuracy | 72.60% | Setup & sourceJevBench Headline: medmcqa · accuracy Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "medmcqa", "type": "choice", "cases": "1000", "coverage": "100.0%", "value": "0.7260", "95% CI": "[0.691, 0.763]", "metric": "accuracy"}. Runtime diagnostics {"slice": "medmcqa", "p50 ms": "590", "p95 ms": "1329", "p99 ms": "1806", "mean input tokens": "141", "total input tokens": "141,057", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1000 · Source 95% CI: 69.1–76.3 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · medqa_usmle · accuracy | 84.90% | Setup & sourceJevBench Headline: medqa_usmle · accuracy Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "medqa_usmle", "type": "choice", "cases": "1000", "coverage": "100.0%", "value": "0.8490", "95% CI": "[0.820, 0.877]", "metric": "accuracy"}. Runtime diagnostics {"slice": "medqa_usmle", "p50 ms": "596", "p95 ms": "1546", "p99 ms": "2754", "mean input tokens": "301", "total input tokens": "301,460", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1000 · Source 95% CI: 82–87.7 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mmlu_pro · accuracy | 64.50% | Setup & sourceJevBench Headline: mmlu_pro · accuracy Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mmlu_pro", "type": "choice", "cases": "1000", "coverage": "100.0%", "value": "0.6450", "95% CI": "[0.606, 0.683]", "metric": "accuracy"}. Runtime diagnostics {"slice": "mmlu_pro", "p50 ms": "625", "p95 ms": "1712", "p99 ms": "2715", "mean input tokens": "333", "total input tokens": "332,557", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1000 · Source 95% CI: 60.6–68.30000000000001 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · nfcorpus_rank_choice · ndcg@10 | 35.54% | Setup & sourceJevBench Headline: nfcorpus_rank_choice · ndcg@10 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "nfcorpus_rank_choice", "type": "rank", "cases": "298", "coverage": "100.0%", "value": "0.3554", "95% CI": "[0.321, 0.389]", "metric": "ndcg@10"}. Runtime diagnostics {"slice": "nfcorpus_rank_choice", "p50 ms": "1131", "p95 ms": "6996", "p99 ms": "7522", "mean input tokens": "2380", "total input tokens": "709,228", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 298 · Source 95% CI: 32.1–38.9 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · nfcorpus_rank_graded · ndcg@10 | 36.73% | Setup & sourceJevBench Headline: nfcorpus_rank_graded · ndcg@10 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "nfcorpus_rank_graded", "type": "score", "cases": "4924", "coverage": "100.0%", "value": "0.3673", "95% CI": "[0.333, 0.404]", "metric": "ndcg@10"}. Runtime diagnostics {"slice": "nfcorpus_rank_graded", "p50 ms": "582", "p95 ms": "1449", "p99 ms": "2023", "mean input tokens": "307", "total input tokens": "1,511,895", "retries": "1"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 4924 · Source 95% CI: 33.300000000000004–40.400000000000006 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · nfcorpus_rank_noul · ndcg@10 | 37.46% | Setup & sourceJevBench Headline: nfcorpus_rank_noul · ndcg@10 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "nfcorpus_rank_noul", "type": "rank", "cases": "298", "coverage": "100.0%", "value": "0.3746", "95% CI": "[0.340, 0.412]", "metric": "ndcg@10"}. Runtime diagnostics {"slice": "nfcorpus_rank_noul", "p50 ms": "2641", "p95 ms": "4668", "p99 ms": "5745", "mean input tokens": "2399", "total input tokens": "715,032", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 298 · Source 95% CI: 34–41.199999999999996 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · prompt_injections · accuracy | 81.03% | Setup & sourceJevBench Headline: prompt_injections · accuracy Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "prompt_injections", "type": "noul", "cases": "116", "coverage": "100.0%", "value": "0.8103", "95% CI": "[0.741, 0.879]", "metric": "accuracy"}. Runtime diagnostics {"slice": "prompt_injections", "p50 ms": "996", "p95 ms": "2094", "p99 ms": "3122", "mean input tokens": "171", "total input tokens": "19,796", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 116 · Source 95% CI: 74.1–87.9 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · pubmedqa · accuracy | 65.60% | Setup & sourceJevBench Headline: pubmedqa · accuracy Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "pubmedqa", "type": "choice", "cases": "500", "coverage": "100.0%", "value": "0.6560", "95% CI": "[0.616, 0.698]", "metric": "accuracy"}. Runtime diagnostics {"slice": "pubmedqa", "p50 ms": "1063", "p95 ms": "2672", "p99 ms": "3697", "mean input tokens": "457", "total input tokens": "228,509", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 · Source 95% CI: 61.6–69.8 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · rewardbench2 · accuracy | 79.33% | Setup & sourceJevBench Headline: rewardbench2 · accuracy Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "rewardbench2", "type": "choice", "cases": "1200", "coverage": "100.0%", "value": "0.7933", "95% CI": "[0.763, 0.822]", "metric": "accuracy"}. Runtime diagnostics {"slice": "rewardbench2", "p50 ms": "896", "p95 ms": "2057", "p99 ms": "2813", "mean input tokens": "1777", "total input tokens": "2,132,815", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1200 · Source 95% CI: 76.3–82.19999999999999 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · scienceqa_text · accuracy | 94.20% | Setup & sourceJevBench Headline: scienceqa_text · accuracy Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "scienceqa_text", "type": "choice", "cases": "1000", "coverage": "100.0%", "value": "0.9420", "95% CI": "[0.922, 0.960]", "metric": "accuracy"}. Runtime diagnostics {"slice": "scienceqa_text", "p50 ms": "896", "p95 ms": "2274", "p99 ms": "2831", "mean input tokens": "129", "total input tokens": "129,244", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1000 · Source 95% CI: 92.2–96 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · scifact_rank_choice · ndcg@10 | 72.55% | Setup & sourceJevBench Headline: scifact_rank_choice · ndcg@10 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "scifact_rank_choice", "type": "rank", "cases": "300", "coverage": "100.0%", "value": "0.7255", "95% CI": "[0.682, 0.769]", "metric": "ndcg@10"}. Runtime diagnostics {"slice": "scifact_rank_choice", "p50 ms": "1042", "p95 ms": "2422", "p99 ms": "2853", "mean input tokens": "3003", "total input tokens": "901,036", "retries": "3"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 300 · Source 95% CI: 68.2–76.9 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · scifact_rank_noul · ndcg@10 | 74.33% | Setup & sourceJevBench Headline: scifact_rank_noul · ndcg@10 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "scifact_rank_noul", "type": "rank", "cases": "300", "coverage": "100.0%", "value": "0.7433", "95% CI": "[0.699, 0.787]", "metric": "ndcg@10"}. Runtime diagnostics {"slice": "scifact_rank_noul", "p50 ms": "3568", "p95 ms": "7529", "p99 ms": "8694", "mean input tokens": "3020", "total input tokens": "905,961", "retries": "312"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 300 · Source 95% CI: 69.89999999999999–78.7 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · sst5 · mae_expected_level | 0.4768 MAE | Setup & sourceJevBench Headline: sst5 · mae_expected_level Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "sst5", "type": "score", "cases": "500", "coverage": "100.0%", "value": "0.4768", "95% CI": "[0.439, 0.516]", "metric": "mae_expected_level"}. Runtime diagnostics {"slice": "sst5", "p50 ms": "833", "p95 ms": "1986", "p99 ms": "2713", "mean input tokens": "139", "total input tokens": "69,251", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 · Source 95% CI: 0.439–0.516 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · banking77 · accuracy | 89.90% | Setup & sourceJevBench Choice slices: banking77 · accuracy Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "banking77", "n": "1000", "gold classes": "77", "accuracy": "89.9%", "macro-F1": "0.8962", "Brier": "0.1670", "NLL": "0.4946", "zero-prob on gold": "0", "ECE (10 bins)": "0.0637", "n with probs": "1000"}. Runtime diagnostics {"slice": "banking77", "p50 ms": "854", "p95 ms": "1951", "p99 ms": "2792", "mean input tokens": "1599", "total input tokens": "1,599,482", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1000 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · banking77 · macro-F1 | 89.62% | Setup & sourceJevBench Choice slices: banking77 · macro-F1 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "banking77", "n": "1000", "gold classes": "77", "accuracy": "89.9%", "macro-F1": "0.8962", "Brier": "0.1670", "NLL": "0.4946", "zero-prob on gold": "0", "ECE (10 bins)": "0.0637", "n with probs": "1000"}. Runtime diagnostics {"slice": "banking77", "p50 ms": "854", "p95 ms": "1951", "p99 ms": "2792", "mean input tokens": "1599", "total input tokens": "1,599,482", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1000 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · banking77 · Brier | 0.1670 Brier | Setup & sourceJevBench Choice slices: banking77 · Brier Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "banking77", "n": "1000", "gold classes": "77", "accuracy": "89.9%", "macro-F1": "0.8962", "Brier": "0.1670", "NLL": "0.4946", "zero-prob on gold": "0", "ECE (10 bins)": "0.0637", "n with probs": "1000"}. Runtime diagnostics {"slice": "banking77", "p50 ms": "854", "p95 ms": "1951", "p99 ms": "2792", "mean input tokens": "1599", "total input tokens": "1,599,482", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1000 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · banking77 · NLL | 0.4946 NLL | Setup & sourceJevBench Choice slices: banking77 · NLL Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "banking77", "n": "1000", "gold classes": "77", "accuracy": "89.9%", "macro-F1": "0.8962", "Brier": "0.1670", "NLL": "0.4946", "zero-prob on gold": "0", "ECE (10 bins)": "0.0637", "n with probs": "1000"}. Runtime diagnostics {"slice": "banking77", "p50 ms": "854", "p95 ms": "1951", "p99 ms": "2792", "mean input tokens": "1599", "total input tokens": "1,599,482", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1000 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · banking77 · ECE (10 bins) | 6.37 pp | Setup & sourceJevBench Choice slices: banking77 · ECE (10 bins) Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "banking77", "n": "1000", "gold classes": "77", "accuracy": "89.9%", "macro-F1": "0.8962", "Brier": "0.1670", "NLL": "0.4946", "zero-prob on gold": "0", "ECE (10 bins)": "0.0637", "n with probs": "1000"}. Runtime diagnostics {"slice": "banking77", "p50 ms": "854", "p95 ms": "1951", "p99 ms": "2792", "mean input tokens": "1599", "total input tokens": "1,599,482", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1000 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpbench_server_routing · accuracy | 100.00% | Setup & sourceJevBench Choice slices: mcpbench_server_routing · accuracy Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpbench_server_routing", "n": "112", "gold classes": "28", "accuracy": "100.0%", "macro-F1": "1.0000", "Brier": "0.0140", "NLL": "0.0342", "zero-prob on gold": "0", "ECE (10 bins)": "0.0236", "n with probs": "112"}. Runtime diagnostics {"slice": "mcpbench_server_routing", "p50 ms": "852", "p95 ms": "1950", "p99 ms": "2237", "mean input tokens": "867", "total input tokens": "97,113", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 112 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpbench_server_routing · macro-F1 | 100.00% | Setup & sourceJevBench Choice slices: mcpbench_server_routing · macro-F1 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpbench_server_routing", "n": "112", "gold classes": "28", "accuracy": "100.0%", "macro-F1": "1.0000", "Brier": "0.0140", "NLL": "0.0342", "zero-prob on gold": "0", "ECE (10 bins)": "0.0236", "n with probs": "112"}. Runtime diagnostics {"slice": "mcpbench_server_routing", "p50 ms": "852", "p95 ms": "1950", "p99 ms": "2237", "mean input tokens": "867", "total input tokens": "97,113", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 112 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpbench_server_routing · Brier | 0.0140 Brier | Setup & sourceJevBench Choice slices: mcpbench_server_routing · Brier Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpbench_server_routing", "n": "112", "gold classes": "28", "accuracy": "100.0%", "macro-F1": "1.0000", "Brier": "0.0140", "NLL": "0.0342", "zero-prob on gold": "0", "ECE (10 bins)": "0.0236", "n with probs": "112"}. Runtime diagnostics {"slice": "mcpbench_server_routing", "p50 ms": "852", "p95 ms": "1950", "p99 ms": "2237", "mean input tokens": "867", "total input tokens": "97,113", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 112 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpbench_server_routing · NLL | 0.0342 NLL | Setup & sourceJevBench Choice slices: mcpbench_server_routing · NLL Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpbench_server_routing", "n": "112", "gold classes": "28", "accuracy": "100.0%", "macro-F1": "1.0000", "Brier": "0.0140", "NLL": "0.0342", "zero-prob on gold": "0", "ECE (10 bins)": "0.0236", "n with probs": "112"}. Runtime diagnostics {"slice": "mcpbench_server_routing", "p50 ms": "852", "p95 ms": "1950", "p99 ms": "2237", "mean input tokens": "867", "total input tokens": "97,113", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 112 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpbench_server_routing · ECE (10 bins) | 2.36 pp | Setup & sourceJevBench Choice slices: mcpbench_server_routing · ECE (10 bins) Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpbench_server_routing", "n": "112", "gold classes": "28", "accuracy": "100.0%", "macro-F1": "1.0000", "Brier": "0.0140", "NLL": "0.0342", "zero-prob on gold": "0", "ECE (10 bins)": "0.0236", "n with probs": "112"}. Runtime diagnostics {"slice": "mcpbench_server_routing", "p50 ms": "852", "p95 ms": "1950", "p99 ms": "2237", "mean input tokens": "867", "total input tokens": "97,113", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 112 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpbench_tool_selection · accuracy | 100.00% | Setup & sourceJevBench Choice slices: mcpbench_tool_selection · accuracy Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpbench_tool_selection", "n": "26", "gold classes": "13", "accuracy": "100.0%", "macro-F1": "1.0000", "Brier": "0.0000", "NLL": "0.0002", "zero-prob on gold": "0", "ECE (10 bins)": "0.0002", "n with probs": "26"}. Runtime diagnostics {"slice": "mcpbench_tool_selection", "p50 ms": "773", "p95 ms": "2045", "p99 ms": "2180", "mean input tokens": "755", "total input tokens": "19,632", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 26 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpbench_tool_selection · macro-F1 | 100.00% | Setup & sourceJevBench Choice slices: mcpbench_tool_selection · macro-F1 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpbench_tool_selection", "n": "26", "gold classes": "13", "accuracy": "100.0%", "macro-F1": "1.0000", "Brier": "0.0000", "NLL": "0.0002", "zero-prob on gold": "0", "ECE (10 bins)": "0.0002", "n with probs": "26"}. Runtime diagnostics {"slice": "mcpbench_tool_selection", "p50 ms": "773", "p95 ms": "2045", "p99 ms": "2180", "mean input tokens": "755", "total input tokens": "19,632", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 26 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpbench_tool_selection · Brier | 0.0000 Brier | Setup & sourceJevBench Choice slices: mcpbench_tool_selection · Brier Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpbench_tool_selection", "n": "26", "gold classes": "13", "accuracy": "100.0%", "macro-F1": "1.0000", "Brier": "0.0000", "NLL": "0.0002", "zero-prob on gold": "0", "ECE (10 bins)": "0.0002", "n with probs": "26"}. Runtime diagnostics {"slice": "mcpbench_tool_selection", "p50 ms": "773", "p95 ms": "2045", "p99 ms": "2180", "mean input tokens": "755", "total input tokens": "19,632", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 26 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpbench_tool_selection · NLL | 0.0002 NLL | Setup & sourceJevBench Choice slices: mcpbench_tool_selection · NLL Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpbench_tool_selection", "n": "26", "gold classes": "13", "accuracy": "100.0%", "macro-F1": "1.0000", "Brier": "0.0000", "NLL": "0.0002", "zero-prob on gold": "0", "ECE (10 bins)": "0.0002", "n with probs": "26"}. Runtime diagnostics {"slice": "mcpbench_tool_selection", "p50 ms": "773", "p95 ms": "2045", "p99 ms": "2180", "mean input tokens": "755", "total input tokens": "19,632", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 26 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpbench_tool_selection · ECE (10 bins) | 0.02 pp | Setup & sourceJevBench Choice slices: mcpbench_tool_selection · ECE (10 bins) Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpbench_tool_selection", "n": "26", "gold classes": "13", "accuracy": "100.0%", "macro-F1": "1.0000", "Brier": "0.0000", "NLL": "0.0002", "zero-prob on gold": "0", "ECE (10 bins)": "0.0002", "n with probs": "26"}. Runtime diagnostics {"slice": "mcpbench_tool_selection", "p50 ms": "773", "p95 ms": "2045", "p99 ms": "2180", "mean input tokens": "755", "total input tokens": "19,632", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 26 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpmark_server_routing · accuracy | 57.10% | Setup & sourceJevBench Choice slices: mcpmark_server_routing · accuracy Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpmark_server_routing", "n": "338", "gold classes": "8", "accuracy": "57.1%", "macro-F1": "0.5157", "Brier": "0.6637", "NLL": "1.7849", "zero-prob on gold": "0", "ECE (10 bins)": "0.2803", "n with probs": "338"}. Runtime diagnostics {"slice": "mcpmark_server_routing", "p50 ms": "545", "p95 ms": "1223", "p99 ms": "1453", "mean input tokens": "248", "total input tokens": "83,834", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 338 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpmark_server_routing · macro-F1 | 51.57% | Setup & sourceJevBench Choice slices: mcpmark_server_routing · macro-F1 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpmark_server_routing", "n": "338", "gold classes": "8", "accuracy": "57.1%", "macro-F1": "0.5157", "Brier": "0.6637", "NLL": "1.7849", "zero-prob on gold": "0", "ECE (10 bins)": "0.2803", "n with probs": "338"}. Runtime diagnostics {"slice": "mcpmark_server_routing", "p50 ms": "545", "p95 ms": "1223", "p99 ms": "1453", "mean input tokens": "248", "total input tokens": "83,834", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 338 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpmark_server_routing · Brier | 0.6637 Brier | Setup & sourceJevBench Choice slices: mcpmark_server_routing · Brier Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpmark_server_routing", "n": "338", "gold classes": "8", "accuracy": "57.1%", "macro-F1": "0.5157", "Brier": "0.6637", "NLL": "1.7849", "zero-prob on gold": "0", "ECE (10 bins)": "0.2803", "n with probs": "338"}. Runtime diagnostics {"slice": "mcpmark_server_routing", "p50 ms": "545", "p95 ms": "1223", "p99 ms": "1453", "mean input tokens": "248", "total input tokens": "83,834", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 338 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpmark_server_routing · NLL | 1.7849 NLL | Setup & sourceJevBench Choice slices: mcpmark_server_routing · NLL Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpmark_server_routing", "n": "338", "gold classes": "8", "accuracy": "57.1%", "macro-F1": "0.5157", "Brier": "0.6637", "NLL": "1.7849", "zero-prob on gold": "0", "ECE (10 bins)": "0.2803", "n with probs": "338"}. Runtime diagnostics {"slice": "mcpmark_server_routing", "p50 ms": "545", "p95 ms": "1223", "p99 ms": "1453", "mean input tokens": "248", "total input tokens": "83,834", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 338 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpmark_server_routing · ECE (10 bins) | 28.03 pp | Setup & sourceJevBench Choice slices: mcpmark_server_routing · ECE (10 bins) Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpmark_server_routing", "n": "338", "gold classes": "8", "accuracy": "57.1%", "macro-F1": "0.5157", "Brier": "0.6637", "NLL": "1.7849", "zero-prob on gold": "0", "ECE (10 bins)": "0.2803", "n with probs": "338"}. Runtime diagnostics {"slice": "mcpmark_server_routing", "p50 ms": "545", "p95 ms": "1223", "p99 ms": "1453", "mean input tokens": "248", "total input tokens": "83,834", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 338 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpmark_tool_selection · accuracy | 100.00% | Setup & sourceJevBench Choice slices: mcpmark_tool_selection · accuracy Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpmark_tool_selection", "n": "18", "gold classes": "5", "accuracy": "100.0%", "macro-F1": "1.0000", "Brier": "0.0000", "NLL": "0.0001", "zero-prob on gold": "0", "ECE (10 bins)": "0.0001", "n with probs": "18"}. Runtime diagnostics {"slice": "mcpmark_tool_selection", "p50 ms": "683", "p95 ms": "3488", "p99 ms": "3488", "mean input tokens": "402", "total input tokens": "7,245", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 18 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpmark_tool_selection · macro-F1 | 100.00% | Setup & sourceJevBench Choice slices: mcpmark_tool_selection · macro-F1 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpmark_tool_selection", "n": "18", "gold classes": "5", "accuracy": "100.0%", "macro-F1": "1.0000", "Brier": "0.0000", "NLL": "0.0001", "zero-prob on gold": "0", "ECE (10 bins)": "0.0001", "n with probs": "18"}. Runtime diagnostics {"slice": "mcpmark_tool_selection", "p50 ms": "683", "p95 ms": "3488", "p99 ms": "3488", "mean input tokens": "402", "total input tokens": "7,245", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 18 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpmark_tool_selection · Brier | 0.0000 Brier | Setup & sourceJevBench Choice slices: mcpmark_tool_selection · Brier Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpmark_tool_selection", "n": "18", "gold classes": "5", "accuracy": "100.0%", "macro-F1": "1.0000", "Brier": "0.0000", "NLL": "0.0001", "zero-prob on gold": "0", "ECE (10 bins)": "0.0001", "n with probs": "18"}. Runtime diagnostics {"slice": "mcpmark_tool_selection", "p50 ms": "683", "p95 ms": "3488", "p99 ms": "3488", "mean input tokens": "402", "total input tokens": "7,245", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 18 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpmark_tool_selection · NLL | 0.0001 NLL | Setup & sourceJevBench Choice slices: mcpmark_tool_selection · NLL Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpmark_tool_selection", "n": "18", "gold classes": "5", "accuracy": "100.0%", "macro-F1": "1.0000", "Brier": "0.0000", "NLL": "0.0001", "zero-prob on gold": "0", "ECE (10 bins)": "0.0001", "n with probs": "18"}. Runtime diagnostics {"slice": "mcpmark_tool_selection", "p50 ms": "683", "p95 ms": "3488", "p99 ms": "3488", "mean input tokens": "402", "total input tokens": "7,245", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 18 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpmark_tool_selection · ECE (10 bins) | 0.01 pp | Setup & sourceJevBench Choice slices: mcpmark_tool_selection · ECE (10 bins) Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpmark_tool_selection", "n": "18", "gold classes": "5", "accuracy": "100.0%", "macro-F1": "1.0000", "Brier": "0.0000", "NLL": "0.0001", "zero-prob on gold": "0", "ECE (10 bins)": "0.0001", "n with probs": "18"}. Runtime diagnostics {"slice": "mcpmark_tool_selection", "p50 ms": "683", "p95 ms": "3488", "p99 ms": "3488", "mean input tokens": "402", "total input tokens": "7,245", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 18 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · medmcqa · accuracy | 72.60% | Setup & sourceJevBench Choice slices: medmcqa · accuracy Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "medmcqa", "n": "1000", "gold classes": "4", "accuracy": "72.6%", "macro-F1": "0.7266", "Brier": "0.3953", "NLL": "0.7898", "zero-prob on gold": "0", "ECE (10 bins)": "0.1374", "n with probs": "1000"}. Runtime diagnostics {"slice": "medmcqa", "p50 ms": "590", "p95 ms": "1329", "p99 ms": "1806", "mean input tokens": "141", "total input tokens": "141,057", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1000 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · medmcqa · macro-F1 | 72.66% | Setup & sourceJevBench Choice slices: medmcqa · macro-F1 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "medmcqa", "n": "1000", "gold classes": "4", "accuracy": "72.6%", "macro-F1": "0.7266", "Brier": "0.3953", "NLL": "0.7898", "zero-prob on gold": "0", "ECE (10 bins)": "0.1374", "n with probs": "1000"}. Runtime diagnostics {"slice": "medmcqa", "p50 ms": "590", "p95 ms": "1329", "p99 ms": "1806", "mean input tokens": "141", "total input tokens": "141,057", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1000 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · medmcqa · Brier | 0.3953 Brier | Setup & sourceJevBench Choice slices: medmcqa · Brier Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "medmcqa", "n": "1000", "gold classes": "4", "accuracy": "72.6%", "macro-F1": "0.7266", "Brier": "0.3953", "NLL": "0.7898", "zero-prob on gold": "0", "ECE (10 bins)": "0.1374", "n with probs": "1000"}. Runtime diagnostics {"slice": "medmcqa", "p50 ms": "590", "p95 ms": "1329", "p99 ms": "1806", "mean input tokens": "141", "total input tokens": "141,057", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1000 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · medmcqa · NLL | 0.7898 NLL | Setup & sourceJevBench Choice slices: medmcqa · NLL Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "medmcqa", "n": "1000", "gold classes": "4", "accuracy": "72.6%", "macro-F1": "0.7266", "Brier": "0.3953", "NLL": "0.7898", "zero-prob on gold": "0", "ECE (10 bins)": "0.1374", "n with probs": "1000"}. Runtime diagnostics {"slice": "medmcqa", "p50 ms": "590", "p95 ms": "1329", "p99 ms": "1806", "mean input tokens": "141", "total input tokens": "141,057", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1000 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · medmcqa · ECE (10 bins) | 13.74 pp | Setup & sourceJevBench Choice slices: medmcqa · ECE (10 bins) Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "medmcqa", "n": "1000", "gold classes": "4", "accuracy": "72.6%", "macro-F1": "0.7266", "Brier": "0.3953", "NLL": "0.7898", "zero-prob on gold": "0", "ECE (10 bins)": "0.1374", "n with probs": "1000"}. Runtime diagnostics {"slice": "medmcqa", "p50 ms": "590", "p95 ms": "1329", "p99 ms": "1806", "mean input tokens": "141", "total input tokens": "141,057", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1000 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · medqa_usmle · accuracy | 84.90% | Setup & sourceJevBench Choice slices: medqa_usmle · accuracy Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "medqa_usmle", "n": "1000", "gold classes": "4", "accuracy": "84.9%", "macro-F1": "0.8486", "Brier": "0.2433", "NLL": "0.4988", "zero-prob on gold": "0", "ECE (10 bins)": "0.0816", "n with probs": "1000"}. Runtime diagnostics {"slice": "medqa_usmle", "p50 ms": "596", "p95 ms": "1546", "p99 ms": "2754", "mean input tokens": "301", "total input tokens": "301,460", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1000 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · medqa_usmle · macro-F1 | 84.86% | Setup & sourceJevBench Choice slices: medqa_usmle · macro-F1 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "medqa_usmle", "n": "1000", "gold classes": "4", "accuracy": "84.9%", "macro-F1": "0.8486", "Brier": "0.2433", "NLL": "0.4988", "zero-prob on gold": "0", "ECE (10 bins)": "0.0816", "n with probs": "1000"}. Runtime diagnostics {"slice": "medqa_usmle", "p50 ms": "596", "p95 ms": "1546", "p99 ms": "2754", "mean input tokens": "301", "total input tokens": "301,460", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1000 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · medqa_usmle · Brier | 0.2433 Brier | Setup & sourceJevBench Choice slices: medqa_usmle · Brier Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "medqa_usmle", "n": "1000", "gold classes": "4", "accuracy": "84.9%", "macro-F1": "0.8486", "Brier": "0.2433", "NLL": "0.4988", "zero-prob on gold": "0", "ECE (10 bins)": "0.0816", "n with probs": "1000"}. Runtime diagnostics {"slice": "medqa_usmle", "p50 ms": "596", "p95 ms": "1546", "p99 ms": "2754", "mean input tokens": "301", "total input tokens": "301,460", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1000 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · medqa_usmle · NLL | 0.4988 NLL | Setup & sourceJevBench Choice slices: medqa_usmle · NLL Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "medqa_usmle", "n": "1000", "gold classes": "4", "accuracy": "84.9%", "macro-F1": "0.8486", "Brier": "0.2433", "NLL": "0.4988", "zero-prob on gold": "0", "ECE (10 bins)": "0.0816", "n with probs": "1000"}. Runtime diagnostics {"slice": "medqa_usmle", "p50 ms": "596", "p95 ms": "1546", "p99 ms": "2754", "mean input tokens": "301", "total input tokens": "301,460", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1000 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · medqa_usmle · ECE (10 bins) | 8.16 pp | Setup & sourceJevBench Choice slices: medqa_usmle · ECE (10 bins) Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "medqa_usmle", "n": "1000", "gold classes": "4", "accuracy": "84.9%", "macro-F1": "0.8486", "Brier": "0.2433", "NLL": "0.4988", "zero-prob on gold": "0", "ECE (10 bins)": "0.0816", "n with probs": "1000"}. Runtime diagnostics {"slice": "medqa_usmle", "p50 ms": "596", "p95 ms": "1546", "p99 ms": "2754", "mean input tokens": "301", "total input tokens": "301,460", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1000 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mmlu_pro · accuracy | 64.50% | Setup & sourceJevBench Choice slices: mmlu_pro · accuracy Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mmlu_pro", "n": "1000", "gold classes": "10", "accuracy": "64.5%", "macro-F1": "0.6419", "Brier": "0.5369", "NLL": "1.3122", "zero-prob on gold": "0", "ECE (10 bins)": "0.1796", "n with probs": "1000"}. Runtime diagnostics {"slice": "mmlu_pro", "p50 ms": "625", "p95 ms": "1712", "p99 ms": "2715", "mean input tokens": "333", "total input tokens": "332,557", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1000 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mmlu_pro · macro-F1 | 64.19% | Setup & sourceJevBench Choice slices: mmlu_pro · macro-F1 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mmlu_pro", "n": "1000", "gold classes": "10", "accuracy": "64.5%", "macro-F1": "0.6419", "Brier": "0.5369", "NLL": "1.3122", "zero-prob on gold": "0", "ECE (10 bins)": "0.1796", "n with probs": "1000"}. Runtime diagnostics {"slice": "mmlu_pro", "p50 ms": "625", "p95 ms": "1712", "p99 ms": "2715", "mean input tokens": "333", "total input tokens": "332,557", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1000 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mmlu_pro · Brier | 0.5369 Brier | Setup & sourceJevBench Choice slices: mmlu_pro · Brier Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mmlu_pro", "n": "1000", "gold classes": "10", "accuracy": "64.5%", "macro-F1": "0.6419", "Brier": "0.5369", "NLL": "1.3122", "zero-prob on gold": "0", "ECE (10 bins)": "0.1796", "n with probs": "1000"}. Runtime diagnostics {"slice": "mmlu_pro", "p50 ms": "625", "p95 ms": "1712", "p99 ms": "2715", "mean input tokens": "333", "total input tokens": "332,557", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1000 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mmlu_pro · NLL | 1.3122 NLL | Setup & sourceJevBench Choice slices: mmlu_pro · NLL Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mmlu_pro", "n": "1000", "gold classes": "10", "accuracy": "64.5%", "macro-F1": "0.6419", "Brier": "0.5369", "NLL": "1.3122", "zero-prob on gold": "0", "ECE (10 bins)": "0.1796", "n with probs": "1000"}. Runtime diagnostics {"slice": "mmlu_pro", "p50 ms": "625", "p95 ms": "1712", "p99 ms": "2715", "mean input tokens": "333", "total input tokens": "332,557", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1000 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mmlu_pro · ECE (10 bins) | 17.96 pp | Setup & sourceJevBench Choice slices: mmlu_pro · ECE (10 bins) Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mmlu_pro", "n": "1000", "gold classes": "10", "accuracy": "64.5%", "macro-F1": "0.6419", "Brier": "0.5369", "NLL": "1.3122", "zero-prob on gold": "0", "ECE (10 bins)": "0.1796", "n with probs": "1000"}. Runtime diagnostics {"slice": "mmlu_pro", "p50 ms": "625", "p95 ms": "1712", "p99 ms": "2715", "mean input tokens": "333", "total input tokens": "332,557", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1000 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · pubmedqa · accuracy | 65.60% | Setup & sourceJevBench Choice slices: pubmedqa · accuracy Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "pubmedqa", "n": "500", "gold classes": "3", "accuracy": "65.6%", "macro-F1": "0.6412", "Brier": "0.5671", "NLL": "1.0990", "zero-prob on gold": "0", "ECE (10 bins)": "0.2184", "n with probs": "500"}. Runtime diagnostics {"slice": "pubmedqa", "p50 ms": "1063", "p95 ms": "2672", "p99 ms": "3697", "mean input tokens": "457", "total input tokens": "228,509", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · pubmedqa · macro-F1 | 64.12% | Setup & sourceJevBench Choice slices: pubmedqa · macro-F1 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "pubmedqa", "n": "500", "gold classes": "3", "accuracy": "65.6%", "macro-F1": "0.6412", "Brier": "0.5671", "NLL": "1.0990", "zero-prob on gold": "0", "ECE (10 bins)": "0.2184", "n with probs": "500"}. Runtime diagnostics {"slice": "pubmedqa", "p50 ms": "1063", "p95 ms": "2672", "p99 ms": "3697", "mean input tokens": "457", "total input tokens": "228,509", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · pubmedqa · Brier | 0.5671 Brier | Setup & sourceJevBench Choice slices: pubmedqa · Brier Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "pubmedqa", "n": "500", "gold classes": "3", "accuracy": "65.6%", "macro-F1": "0.6412", "Brier": "0.5671", "NLL": "1.0990", "zero-prob on gold": "0", "ECE (10 bins)": "0.2184", "n with probs": "500"}. Runtime diagnostics {"slice": "pubmedqa", "p50 ms": "1063", "p95 ms": "2672", "p99 ms": "3697", "mean input tokens": "457", "total input tokens": "228,509", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · pubmedqa · NLL | 1.0990 NLL | Setup & sourceJevBench Choice slices: pubmedqa · NLL Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "pubmedqa", "n": "500", "gold classes": "3", "accuracy": "65.6%", "macro-F1": "0.6412", "Brier": "0.5671", "NLL": "1.0990", "zero-prob on gold": "0", "ECE (10 bins)": "0.2184", "n with probs": "500"}. Runtime diagnostics {"slice": "pubmedqa", "p50 ms": "1063", "p95 ms": "2672", "p99 ms": "3697", "mean input tokens": "457", "total input tokens": "228,509", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · pubmedqa · ECE (10 bins) | 21.84 pp | Setup & sourceJevBench Choice slices: pubmedqa · ECE (10 bins) Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "pubmedqa", "n": "500", "gold classes": "3", "accuracy": "65.6%", "macro-F1": "0.6412", "Brier": "0.5671", "NLL": "1.0990", "zero-prob on gold": "0", "ECE (10 bins)": "0.2184", "n with probs": "500"}. Runtime diagnostics {"slice": "pubmedqa", "p50 ms": "1063", "p95 ms": "2672", "p99 ms": "3697", "mean input tokens": "457", "total input tokens": "228,509", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · rewardbench2 · accuracy | 79.30% | Setup & sourceJevBench Choice slices: rewardbench2 · accuracy Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "rewardbench2", "n": "1200", "gold classes": "4", "accuracy": "79.3%", "macro-F1": "0.7932", "Brier": "0.3020", "NLL": "0.6393", "zero-prob on gold": "0", "ECE (10 bins)": "0.0529", "n with probs": "1200"}. Runtime diagnostics {"slice": "rewardbench2", "p50 ms": "896", "p95 ms": "2057", "p99 ms": "2813", "mean input tokens": "1777", "total input tokens": "2,132,815", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1200 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · rewardbench2 · macro-F1 | 79.32% | Setup & sourceJevBench Choice slices: rewardbench2 · macro-F1 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "rewardbench2", "n": "1200", "gold classes": "4", "accuracy": "79.3%", "macro-F1": "0.7932", "Brier": "0.3020", "NLL": "0.6393", "zero-prob on gold": "0", "ECE (10 bins)": "0.0529", "n with probs": "1200"}. Runtime diagnostics {"slice": "rewardbench2", "p50 ms": "896", "p95 ms": "2057", "p99 ms": "2813", "mean input tokens": "1777", "total input tokens": "2,132,815", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1200 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · rewardbench2 · Brier | 0.3020 Brier | Setup & sourceJevBench Choice slices: rewardbench2 · Brier Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "rewardbench2", "n": "1200", "gold classes": "4", "accuracy": "79.3%", "macro-F1": "0.7932", "Brier": "0.3020", "NLL": "0.6393", "zero-prob on gold": "0", "ECE (10 bins)": "0.0529", "n with probs": "1200"}. Runtime diagnostics {"slice": "rewardbench2", "p50 ms": "896", "p95 ms": "2057", "p99 ms": "2813", "mean input tokens": "1777", "total input tokens": "2,132,815", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1200 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · rewardbench2 · NLL | 0.6393 NLL | Setup & sourceJevBench Choice slices: rewardbench2 · NLL Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "rewardbench2", "n": "1200", "gold classes": "4", "accuracy": "79.3%", "macro-F1": "0.7932", "Brier": "0.3020", "NLL": "0.6393", "zero-prob on gold": "0", "ECE (10 bins)": "0.0529", "n with probs": "1200"}. Runtime diagnostics {"slice": "rewardbench2", "p50 ms": "896", "p95 ms": "2057", "p99 ms": "2813", "mean input tokens": "1777", "total input tokens": "2,132,815", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1200 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · rewardbench2 · ECE (10 bins) | 5.29 pp | Setup & sourceJevBench Choice slices: rewardbench2 · ECE (10 bins) Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "rewardbench2", "n": "1200", "gold classes": "4", "accuracy": "79.3%", "macro-F1": "0.7932", "Brier": "0.3020", "NLL": "0.6393", "zero-prob on gold": "0", "ECE (10 bins)": "0.0529", "n with probs": "1200"}. Runtime diagnostics {"slice": "rewardbench2", "p50 ms": "896", "p95 ms": "2057", "p99 ms": "2813", "mean input tokens": "1777", "total input tokens": "2,132,815", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1200 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · scienceqa_text · accuracy | 94.20% | Setup & sourceJevBench Choice slices: scienceqa_text · accuracy Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "scienceqa_text", "n": "1000", "gold classes": "4", "accuracy": "94.2%", "macro-F1": "0.9665", "Brier": "0.0935", "NLL": "0.1716", "zero-prob on gold": "0", "ECE (10 bins)": "0.0410", "n with probs": "1000"}. Runtime diagnostics {"slice": "scienceqa_text", "p50 ms": "896", "p95 ms": "2274", "p99 ms": "2831", "mean input tokens": "129", "total input tokens": "129,244", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1000 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · scienceqa_text · macro-F1 | 96.65% | Setup & sourceJevBench Choice slices: scienceqa_text · macro-F1 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "scienceqa_text", "n": "1000", "gold classes": "4", "accuracy": "94.2%", "macro-F1": "0.9665", "Brier": "0.0935", "NLL": "0.1716", "zero-prob on gold": "0", "ECE (10 bins)": "0.0410", "n with probs": "1000"}. Runtime diagnostics {"slice": "scienceqa_text", "p50 ms": "896", "p95 ms": "2274", "p99 ms": "2831", "mean input tokens": "129", "total input tokens": "129,244", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1000 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · scienceqa_text · Brier | 0.0935 Brier | Setup & sourceJevBench Choice slices: scienceqa_text · Brier Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "scienceqa_text", "n": "1000", "gold classes": "4", "accuracy": "94.2%", "macro-F1": "0.9665", "Brier": "0.0935", "NLL": "0.1716", "zero-prob on gold": "0", "ECE (10 bins)": "0.0410", "n with probs": "1000"}. Runtime diagnostics {"slice": "scienceqa_text", "p50 ms": "896", "p95 ms": "2274", "p99 ms": "2831", "mean input tokens": "129", "total input tokens": "129,244", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1000 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · scienceqa_text · NLL | 0.1716 NLL | Setup & sourceJevBench Choice slices: scienceqa_text · NLL Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "scienceqa_text", "n": "1000", "gold classes": "4", "accuracy": "94.2%", "macro-F1": "0.9665", "Brier": "0.0935", "NLL": "0.1716", "zero-prob on gold": "0", "ECE (10 bins)": "0.0410", "n with probs": "1000"}. Runtime diagnostics {"slice": "scienceqa_text", "p50 ms": "896", "p95 ms": "2274", "p99 ms": "2831", "mean input tokens": "129", "total input tokens": "129,244", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1000 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · scienceqa_text · ECE (10 bins) | 4.10 pp | Setup & sourceJevBench Choice slices: scienceqa_text · ECE (10 bins) Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "scienceqa_text", "n": "1000", "gold classes": "4", "accuracy": "94.2%", "macro-F1": "0.9665", "Brier": "0.0935", "NLL": "0.1716", "zero-prob on gold": "0", "ECE (10 bins)": "0.0410", "n with probs": "1000"}. Runtime diagnostics {"slice": "scienceqa_text", "p50 ms": "896", "p95 ms": "2274", "p99 ms": "2831", "mean input tokens": "129", "total input tokens": "129,244", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 1000 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · aegis2 · acc @0.5 | 84.00% | Setup & sourceJevBench Binary slices: aegis2 · acc @0.5 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "aegis2", "n": "500", "acc @0.5": "84.0%", "acc if flipped": "16.0%", "positive recall": "80.4%", "FPR": "12.4%", "AUROC": "0.9279", "Brier": "0.1275", "ECE": "0.1109", "base rate": "50.0%"}. Runtime diagnostics {"slice": "aegis2", "p50 ms": "623", "p95 ms": "5289", "p99 ms": "6059", "mean input tokens": "180", "total input tokens": "90,031", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · aegis2 · acc if flipped | 16.00% | Setup & sourceJevBench Binary slices: aegis2 · acc if flipped Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "aegis2", "n": "500", "acc @0.5": "84.0%", "acc if flipped": "16.0%", "positive recall": "80.4%", "FPR": "12.4%", "AUROC": "0.9279", "Brier": "0.1275", "ECE": "0.1109", "base rate": "50.0%"}. Runtime diagnostics {"slice": "aegis2", "p50 ms": "623", "p95 ms": "5289", "p99 ms": "6059", "mean input tokens": "180", "total input tokens": "90,031", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · aegis2 · positive recall | 80.40% | Setup & sourceJevBench Binary slices: aegis2 · positive recall Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "aegis2", "n": "500", "acc @0.5": "84.0%", "acc if flipped": "16.0%", "positive recall": "80.4%", "FPR": "12.4%", "AUROC": "0.9279", "Brier": "0.1275", "ECE": "0.1109", "base rate": "50.0%"}. Runtime diagnostics {"slice": "aegis2", "p50 ms": "623", "p95 ms": "5289", "p99 ms": "6059", "mean input tokens": "180", "total input tokens": "90,031", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · aegis2 · FPR | 12.40% | Setup & sourceJevBench Binary slices: aegis2 · FPR Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "aegis2", "n": "500", "acc @0.5": "84.0%", "acc if flipped": "16.0%", "positive recall": "80.4%", "FPR": "12.4%", "AUROC": "0.9279", "Brier": "0.1275", "ECE": "0.1109", "base rate": "50.0%"}. Runtime diagnostics {"slice": "aegis2", "p50 ms": "623", "p95 ms": "5289", "p99 ms": "6059", "mean input tokens": "180", "total input tokens": "90,031", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · aegis2 · AUROC | 92.79% | Setup & sourceJevBench Binary slices: aegis2 · AUROC Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "aegis2", "n": "500", "acc @0.5": "84.0%", "acc if flipped": "16.0%", "positive recall": "80.4%", "FPR": "12.4%", "AUROC": "0.9279", "Brier": "0.1275", "ECE": "0.1109", "base rate": "50.0%"}. Runtime diagnostics {"slice": "aegis2", "p50 ms": "623", "p95 ms": "5289", "p99 ms": "6059", "mean input tokens": "180", "total input tokens": "90,031", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · aegis2 · Brier | 0.1275 Brier | Setup & sourceJevBench Binary slices: aegis2 · Brier Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "aegis2", "n": "500", "acc @0.5": "84.0%", "acc if flipped": "16.0%", "positive recall": "80.4%", "FPR": "12.4%", "AUROC": "0.9279", "Brier": "0.1275", "ECE": "0.1109", "base rate": "50.0%"}. Runtime diagnostics {"slice": "aegis2", "p50 ms": "623", "p95 ms": "5289", "p99 ms": "6059", "mean input tokens": "180", "total input tokens": "90,031", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · aegis2 · ECE | 11.09 pp | Setup & sourceJevBench Binary slices: aegis2 · ECE Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "aegis2", "n": "500", "acc @0.5": "84.0%", "acc if flipped": "16.0%", "positive recall": "80.4%", "FPR": "12.4%", "AUROC": "0.9279", "Brier": "0.1275", "ECE": "0.1109", "base rate": "50.0%"}. Runtime diagnostics {"slice": "aegis2", "p50 ms": "623", "p95 ms": "5289", "p99 ms": "6059", "mean input tokens": "180", "total input tokens": "90,031", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · aegis2_response · acc @0.5 | 77.20% | Setup & sourceJevBench Binary slices: aegis2_response · acc @0.5 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "aegis2_response", "n": "500", "acc @0.5": "77.2%", "acc if flipped": "22.8%", "positive recall": "62.4%", "FPR": "8.0%", "AUROC": "0.8876", "Brier": "0.1888", "ECE": "0.1655", "base rate": "50.0%"}. Runtime diagnostics {"slice": "aegis2_response", "p50 ms": "564", "p95 ms": "1376", "p99 ms": "1831", "mean input tokens": "282", "total input tokens": "140,800", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · aegis2_response · acc if flipped | 22.80% | Setup & sourceJevBench Binary slices: aegis2_response · acc if flipped Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "aegis2_response", "n": "500", "acc @0.5": "77.2%", "acc if flipped": "22.8%", "positive recall": "62.4%", "FPR": "8.0%", "AUROC": "0.8876", "Brier": "0.1888", "ECE": "0.1655", "base rate": "50.0%"}. Runtime diagnostics {"slice": "aegis2_response", "p50 ms": "564", "p95 ms": "1376", "p99 ms": "1831", "mean input tokens": "282", "total input tokens": "140,800", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · aegis2_response · positive recall | 62.40% | Setup & sourceJevBench Binary slices: aegis2_response · positive recall Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "aegis2_response", "n": "500", "acc @0.5": "77.2%", "acc if flipped": "22.8%", "positive recall": "62.4%", "FPR": "8.0%", "AUROC": "0.8876", "Brier": "0.1888", "ECE": "0.1655", "base rate": "50.0%"}. Runtime diagnostics {"slice": "aegis2_response", "p50 ms": "564", "p95 ms": "1376", "p99 ms": "1831", "mean input tokens": "282", "total input tokens": "140,800", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · aegis2_response · FPR | 8.00% | Setup & sourceJevBench Binary slices: aegis2_response · FPR Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "aegis2_response", "n": "500", "acc @0.5": "77.2%", "acc if flipped": "22.8%", "positive recall": "62.4%", "FPR": "8.0%", "AUROC": "0.8876", "Brier": "0.1888", "ECE": "0.1655", "base rate": "50.0%"}. Runtime diagnostics {"slice": "aegis2_response", "p50 ms": "564", "p95 ms": "1376", "p99 ms": "1831", "mean input tokens": "282", "total input tokens": "140,800", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · aegis2_response · AUROC | 88.76% | Setup & sourceJevBench Binary slices: aegis2_response · AUROC Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "aegis2_response", "n": "500", "acc @0.5": "77.2%", "acc if flipped": "22.8%", "positive recall": "62.4%", "FPR": "8.0%", "AUROC": "0.8876", "Brier": "0.1888", "ECE": "0.1655", "base rate": "50.0%"}. Runtime diagnostics {"slice": "aegis2_response", "p50 ms": "564", "p95 ms": "1376", "p99 ms": "1831", "mean input tokens": "282", "total input tokens": "140,800", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · aegis2_response · Brier | 0.1888 Brier | Setup & sourceJevBench Binary slices: aegis2_response · Brier Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "aegis2_response", "n": "500", "acc @0.5": "77.2%", "acc if flipped": "22.8%", "positive recall": "62.4%", "FPR": "8.0%", "AUROC": "0.8876", "Brier": "0.1888", "ECE": "0.1655", "base rate": "50.0%"}. Runtime diagnostics {"slice": "aegis2_response", "p50 ms": "564", "p95 ms": "1376", "p99 ms": "1831", "mean input tokens": "282", "total input tokens": "140,800", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · aegis2_response · ECE | 16.55 pp | Setup & sourceJevBench Binary slices: aegis2_response · ECE Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "aegis2_response", "n": "500", "acc @0.5": "77.2%", "acc if flipped": "22.8%", "positive recall": "62.4%", "FPR": "8.0%", "AUROC": "0.8876", "Brier": "0.1888", "ECE": "0.1655", "base rate": "50.0%"}. Runtime diagnostics {"slice": "aegis2_response", "p50 ms": "564", "p95 ms": "1376", "p99 ms": "1831", "mean input tokens": "282", "total input tokens": "140,800", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · atbench500 · acc @0.5 | 68.80% | Setup & sourceJevBench Binary slices: atbench500 · acc @0.5 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "atbench500", "n": "500", "acc @0.5": "68.8%", "acc if flipped": "31.2%", "positive recall": "37.6%", "FPR": "0.0%", "AUROC": "0.9932", "Brier": "0.2794", "ECE": "0.2826", "base rate": "50.0%"}. Runtime diagnostics {"slice": "atbench500", "p50 ms": "851", "p95 ms": "1790", "p99 ms": "2262", "mean input tokens": "1895", "total input tokens": "947,364", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · atbench500 · acc if flipped | 31.20% | Setup & sourceJevBench Binary slices: atbench500 · acc if flipped Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "atbench500", "n": "500", "acc @0.5": "68.8%", "acc if flipped": "31.2%", "positive recall": "37.6%", "FPR": "0.0%", "AUROC": "0.9932", "Brier": "0.2794", "ECE": "0.2826", "base rate": "50.0%"}. Runtime diagnostics {"slice": "atbench500", "p50 ms": "851", "p95 ms": "1790", "p99 ms": "2262", "mean input tokens": "1895", "total input tokens": "947,364", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · atbench500 · positive recall | 37.60% | Setup & sourceJevBench Binary slices: atbench500 · positive recall Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "atbench500", "n": "500", "acc @0.5": "68.8%", "acc if flipped": "31.2%", "positive recall": "37.6%", "FPR": "0.0%", "AUROC": "0.9932", "Brier": "0.2794", "ECE": "0.2826", "base rate": "50.0%"}. Runtime diagnostics {"slice": "atbench500", "p50 ms": "851", "p95 ms": "1790", "p99 ms": "2262", "mean input tokens": "1895", "total input tokens": "947,364", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · atbench500 · FPR | 0.00% | Setup & sourceJevBench Binary slices: atbench500 · FPR Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "atbench500", "n": "500", "acc @0.5": "68.8%", "acc if flipped": "31.2%", "positive recall": "37.6%", "FPR": "0.0%", "AUROC": "0.9932", "Brier": "0.2794", "ECE": "0.2826", "base rate": "50.0%"}. Runtime diagnostics {"slice": "atbench500", "p50 ms": "851", "p95 ms": "1790", "p99 ms": "2262", "mean input tokens": "1895", "total input tokens": "947,364", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · atbench500 · AUROC | 99.32% | Setup & sourceJevBench Binary slices: atbench500 · AUROC Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "atbench500", "n": "500", "acc @0.5": "68.8%", "acc if flipped": "31.2%", "positive recall": "37.6%", "FPR": "0.0%", "AUROC": "0.9932", "Brier": "0.2794", "ECE": "0.2826", "base rate": "50.0%"}. Runtime diagnostics {"slice": "atbench500", "p50 ms": "851", "p95 ms": "1790", "p99 ms": "2262", "mean input tokens": "1895", "total input tokens": "947,364", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · atbench500 · Brier | 0.2794 Brier | Setup & sourceJevBench Binary slices: atbench500 · Brier Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "atbench500", "n": "500", "acc @0.5": "68.8%", "acc if flipped": "31.2%", "positive recall": "37.6%", "FPR": "0.0%", "AUROC": "0.9932", "Brier": "0.2794", "ECE": "0.2826", "base rate": "50.0%"}. Runtime diagnostics {"slice": "atbench500", "p50 ms": "851", "p95 ms": "1790", "p99 ms": "2262", "mean input tokens": "1895", "total input tokens": "947,364", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · atbench500 · ECE | 28.26 pp | Setup & sourceJevBench Binary slices: atbench500 · ECE Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "atbench500", "n": "500", "acc @0.5": "68.8%", "acc if flipped": "31.2%", "positive recall": "37.6%", "FPR": "0.0%", "AUROC": "0.9932", "Brier": "0.2794", "ECE": "0.2826", "base rate": "50.0%"}. Runtime diagnostics {"slice": "atbench500", "p50 ms": "851", "p95 ms": "1790", "p99 ms": "2262", "mean input tokens": "1895", "total input tokens": "947,364", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · jailbreak_classification · acc @0.5 | 96.80% | Setup & sourceJevBench Binary slices: jailbreak_classification · acc @0.5 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "jailbreak_classification", "n": "400", "acc @0.5": "96.8%", "acc if flipped": "3.2%", "positive recall": "90.8%", "FPR": "0.0%", "AUROC": "0.9930", "Brier": "0.0301", "ECE": "0.0261", "base rate": "35.2%"}. Runtime diagnostics {"slice": "jailbreak_classification", "p50 ms": "577", "p95 ms": "1288", "p99 ms": "1876", "mean input tokens": "388", "total input tokens": "155,110", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 400 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · jailbreak_classification · acc if flipped | 3.20% | Setup & sourceJevBench Binary slices: jailbreak_classification · acc if flipped Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "jailbreak_classification", "n": "400", "acc @0.5": "96.8%", "acc if flipped": "3.2%", "positive recall": "90.8%", "FPR": "0.0%", "AUROC": "0.9930", "Brier": "0.0301", "ECE": "0.0261", "base rate": "35.2%"}. Runtime diagnostics {"slice": "jailbreak_classification", "p50 ms": "577", "p95 ms": "1288", "p99 ms": "1876", "mean input tokens": "388", "total input tokens": "155,110", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 400 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · jailbreak_classification · positive recall | 90.80% | Setup & sourceJevBench Binary slices: jailbreak_classification · positive recall Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "jailbreak_classification", "n": "400", "acc @0.5": "96.8%", "acc if flipped": "3.2%", "positive recall": "90.8%", "FPR": "0.0%", "AUROC": "0.9930", "Brier": "0.0301", "ECE": "0.0261", "base rate": "35.2%"}. Runtime diagnostics {"slice": "jailbreak_classification", "p50 ms": "577", "p95 ms": "1288", "p99 ms": "1876", "mean input tokens": "388", "total input tokens": "155,110", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 400 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · jailbreak_classification · FPR | 0.00% | Setup & sourceJevBench Binary slices: jailbreak_classification · FPR Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "jailbreak_classification", "n": "400", "acc @0.5": "96.8%", "acc if flipped": "3.2%", "positive recall": "90.8%", "FPR": "0.0%", "AUROC": "0.9930", "Brier": "0.0301", "ECE": "0.0261", "base rate": "35.2%"}. Runtime diagnostics {"slice": "jailbreak_classification", "p50 ms": "577", "p95 ms": "1288", "p99 ms": "1876", "mean input tokens": "388", "total input tokens": "155,110", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 400 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · jailbreak_classification · AUROC | 99.30% | Setup & sourceJevBench Binary slices: jailbreak_classification · AUROC Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "jailbreak_classification", "n": "400", "acc @0.5": "96.8%", "acc if flipped": "3.2%", "positive recall": "90.8%", "FPR": "0.0%", "AUROC": "0.9930", "Brier": "0.0301", "ECE": "0.0261", "base rate": "35.2%"}. Runtime diagnostics {"slice": "jailbreak_classification", "p50 ms": "577", "p95 ms": "1288", "p99 ms": "1876", "mean input tokens": "388", "total input tokens": "155,110", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 400 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · jailbreak_classification · Brier | 0.0301 Brier | Setup & sourceJevBench Binary slices: jailbreak_classification · Brier Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "jailbreak_classification", "n": "400", "acc @0.5": "96.8%", "acc if flipped": "3.2%", "positive recall": "90.8%", "FPR": "0.0%", "AUROC": "0.9930", "Brier": "0.0301", "ECE": "0.0261", "base rate": "35.2%"}. Runtime diagnostics {"slice": "jailbreak_classification", "p50 ms": "577", "p95 ms": "1288", "p99 ms": "1876", "mean input tokens": "388", "total input tokens": "155,110", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 400 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · jailbreak_classification · ECE | 2.61 pp | Setup & sourceJevBench Binary slices: jailbreak_classification · ECE Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "jailbreak_classification", "n": "400", "acc @0.5": "96.8%", "acc if flipped": "3.2%", "positive recall": "90.8%", "FPR": "0.0%", "AUROC": "0.9930", "Brier": "0.0301", "ECE": "0.0261", "base rate": "35.2%"}. Runtime diagnostics {"slice": "jailbreak_classification", "p50 ms": "577", "p95 ms": "1288", "p99 ms": "1876", "mean input tokens": "388", "total input tokens": "155,110", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 400 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · prompt_injections · acc @0.5 | 81.00% | Setup & sourceJevBench Binary slices: prompt_injections · acc @0.5 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "prompt_injections", "n": "116", "acc @0.5": "81.0%", "acc if flipped": "19.0%", "positive recall": "63.3%", "FPR": "0.0%", "AUROC": "0.9851", "Brier": "0.1570", "ECE": "0.1566", "base rate": "51.7%"}. Runtime diagnostics {"slice": "prompt_injections", "p50 ms": "996", "p95 ms": "2094", "p99 ms": "3122", "mean input tokens": "171", "total input tokens": "19,796", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 116 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · prompt_injections · acc if flipped | 19.00% | Setup & sourceJevBench Binary slices: prompt_injections · acc if flipped Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "prompt_injections", "n": "116", "acc @0.5": "81.0%", "acc if flipped": "19.0%", "positive recall": "63.3%", "FPR": "0.0%", "AUROC": "0.9851", "Brier": "0.1570", "ECE": "0.1566", "base rate": "51.7%"}. Runtime diagnostics {"slice": "prompt_injections", "p50 ms": "996", "p95 ms": "2094", "p99 ms": "3122", "mean input tokens": "171", "total input tokens": "19,796", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 116 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · prompt_injections · positive recall | 63.30% | Setup & sourceJevBench Binary slices: prompt_injections · positive recall Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "prompt_injections", "n": "116", "acc @0.5": "81.0%", "acc if flipped": "19.0%", "positive recall": "63.3%", "FPR": "0.0%", "AUROC": "0.9851", "Brier": "0.1570", "ECE": "0.1566", "base rate": "51.7%"}. Runtime diagnostics {"slice": "prompt_injections", "p50 ms": "996", "p95 ms": "2094", "p99 ms": "3122", "mean input tokens": "171", "total input tokens": "19,796", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 116 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · prompt_injections · FPR | 0.00% | Setup & sourceJevBench Binary slices: prompt_injections · FPR Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "prompt_injections", "n": "116", "acc @0.5": "81.0%", "acc if flipped": "19.0%", "positive recall": "63.3%", "FPR": "0.0%", "AUROC": "0.9851", "Brier": "0.1570", "ECE": "0.1566", "base rate": "51.7%"}. Runtime diagnostics {"slice": "prompt_injections", "p50 ms": "996", "p95 ms": "2094", "p99 ms": "3122", "mean input tokens": "171", "total input tokens": "19,796", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 116 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · prompt_injections · AUROC | 98.51% | Setup & sourceJevBench Binary slices: prompt_injections · AUROC Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "prompt_injections", "n": "116", "acc @0.5": "81.0%", "acc if flipped": "19.0%", "positive recall": "63.3%", "FPR": "0.0%", "AUROC": "0.9851", "Brier": "0.1570", "ECE": "0.1566", "base rate": "51.7%"}. Runtime diagnostics {"slice": "prompt_injections", "p50 ms": "996", "p95 ms": "2094", "p99 ms": "3122", "mean input tokens": "171", "total input tokens": "19,796", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 116 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · prompt_injections · Brier | 0.1570 Brier | Setup & sourceJevBench Binary slices: prompt_injections · Brier Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "prompt_injections", "n": "116", "acc @0.5": "81.0%", "acc if flipped": "19.0%", "positive recall": "63.3%", "FPR": "0.0%", "AUROC": "0.9851", "Brier": "0.1570", "ECE": "0.1566", "base rate": "51.7%"}. Runtime diagnostics {"slice": "prompt_injections", "p50 ms": "996", "p95 ms": "2094", "p99 ms": "3122", "mean input tokens": "171", "total input tokens": "19,796", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 116 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · prompt_injections · ECE | 15.66 pp | Setup & sourceJevBench Binary slices: prompt_injections · ECE Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "prompt_injections", "n": "116", "acc @0.5": "81.0%", "acc if flipped": "19.0%", "positive recall": "63.3%", "FPR": "0.0%", "AUROC": "0.9851", "Brier": "0.1570", "ECE": "0.1566", "base rate": "51.7%"}. Runtime diagnostics {"slice": "prompt_injections", "p50 ms": "996", "p95 ms": "2094", "p99 ms": "3122", "mean input tokens": "171", "total input tokens": "19,796", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 116 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · helpsteer2_helpfulness · exact (rounded) | 35.60% | Setup & sourceJevBench Ordinal slices: helpsteer2_helpfulness · exact (rounded) Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "helpsteer2_helpfulness", "n": "500", "levels": "5", "exact (rounded)": "35.6%", "within 1 level": "78.6%", "MAE (expected level)": "0.947", "RPS": "0.1763", "Spearman": "0.555"}. Runtime diagnostics {"slice": "helpsteer2_helpfulness", "p50 ms": "924", "p95 ms": "6076", "p99 ms": "6843", "mean input tokens": "670", "total input tokens": "335,063", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · helpsteer2_helpfulness · within 1 level | 78.60% | Setup & sourceJevBench Ordinal slices: helpsteer2_helpfulness · within 1 level Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "helpsteer2_helpfulness", "n": "500", "levels": "5", "exact (rounded)": "35.6%", "within 1 level": "78.6%", "MAE (expected level)": "0.947", "RPS": "0.1763", "Spearman": "0.555"}. Runtime diagnostics {"slice": "helpsteer2_helpfulness", "p50 ms": "924", "p95 ms": "6076", "p99 ms": "6843", "mean input tokens": "670", "total input tokens": "335,063", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · helpsteer2_helpfulness · MAE (expected level) | 0.9470 MAE | Setup & sourceJevBench Ordinal slices: helpsteer2_helpfulness · MAE (expected level) Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "helpsteer2_helpfulness", "n": "500", "levels": "5", "exact (rounded)": "35.6%", "within 1 level": "78.6%", "MAE (expected level)": "0.947", "RPS": "0.1763", "Spearman": "0.555"}. Runtime diagnostics {"slice": "helpsteer2_helpfulness", "p50 ms": "924", "p95 ms": "6076", "p99 ms": "6843", "mean input tokens": "670", "total input tokens": "335,063", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · helpsteer2_helpfulness · RPS | 0.1763 RPS | Setup & sourceJevBench Ordinal slices: helpsteer2_helpfulness · RPS Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "helpsteer2_helpfulness", "n": "500", "levels": "5", "exact (rounded)": "35.6%", "within 1 level": "78.6%", "MAE (expected level)": "0.947", "RPS": "0.1763", "Spearman": "0.555"}. Runtime diagnostics {"slice": "helpsteer2_helpfulness", "p50 ms": "924", "p95 ms": "6076", "p99 ms": "6843", "mean input tokens": "670", "total input tokens": "335,063", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · helpsteer2_helpfulness · Spearman | 0.5550 coefficient | Setup & sourceJevBench Ordinal slices: helpsteer2_helpfulness · Spearman Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "helpsteer2_helpfulness", "n": "500", "levels": "5", "exact (rounded)": "35.6%", "within 1 level": "78.6%", "MAE (expected level)": "0.947", "RPS": "0.1763", "Spearman": "0.555"}. Runtime diagnostics {"slice": "helpsteer2_helpfulness", "p50 ms": "924", "p95 ms": "6076", "p99 ms": "6843", "mean input tokens": "670", "total input tokens": "335,063", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · nfcorpus_rank_graded · exact (rounded) | 78.00% | Setup & sourceJevBench Ordinal slices: nfcorpus_rank_graded · exact (rounded) Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "nfcorpus_rank_graded", "n": "4924", "levels": "3", "exact (rounded)": "78.0%", "within 1 level": "97.1%", "MAE (expected level)": "0.278", "RPS": "0.1000", "Spearman": "0.471"}. Runtime diagnostics {"slice": "nfcorpus_rank_graded", "p50 ms": "582", "p95 ms": "1449", "p99 ms": "2023", "mean input tokens": "307", "total input tokens": "1,511,895", "retries": "1"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 4924 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · nfcorpus_rank_graded · within 1 level | 97.10% | Setup & sourceJevBench Ordinal slices: nfcorpus_rank_graded · within 1 level Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "nfcorpus_rank_graded", "n": "4924", "levels": "3", "exact (rounded)": "78.0%", "within 1 level": "97.1%", "MAE (expected level)": "0.278", "RPS": "0.1000", "Spearman": "0.471"}. Runtime diagnostics {"slice": "nfcorpus_rank_graded", "p50 ms": "582", "p95 ms": "1449", "p99 ms": "2023", "mean input tokens": "307", "total input tokens": "1,511,895", "retries": "1"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 4924 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · nfcorpus_rank_graded · MAE (expected level) | 0.2780 MAE | Setup & sourceJevBench Ordinal slices: nfcorpus_rank_graded · MAE (expected level) Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "nfcorpus_rank_graded", "n": "4924", "levels": "3", "exact (rounded)": "78.0%", "within 1 level": "97.1%", "MAE (expected level)": "0.278", "RPS": "0.1000", "Spearman": "0.471"}. Runtime diagnostics {"slice": "nfcorpus_rank_graded", "p50 ms": "582", "p95 ms": "1449", "p99 ms": "2023", "mean input tokens": "307", "total input tokens": "1,511,895", "retries": "1"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 4924 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · nfcorpus_rank_graded · RPS | 0.1000 RPS | Setup & sourceJevBench Ordinal slices: nfcorpus_rank_graded · RPS Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "nfcorpus_rank_graded", "n": "4924", "levels": "3", "exact (rounded)": "78.0%", "within 1 level": "97.1%", "MAE (expected level)": "0.278", "RPS": "0.1000", "Spearman": "0.471"}. Runtime diagnostics {"slice": "nfcorpus_rank_graded", "p50 ms": "582", "p95 ms": "1449", "p99 ms": "2023", "mean input tokens": "307", "total input tokens": "1,511,895", "retries": "1"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 4924 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · nfcorpus_rank_graded · Spearman | 0.4710 coefficient | Setup & sourceJevBench Ordinal slices: nfcorpus_rank_graded · Spearman Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "nfcorpus_rank_graded", "n": "4924", "levels": "3", "exact (rounded)": "78.0%", "within 1 level": "97.1%", "MAE (expected level)": "0.278", "RPS": "0.1000", "Spearman": "0.471"}. Runtime diagnostics {"slice": "nfcorpus_rank_graded", "p50 ms": "582", "p95 ms": "1449", "p99 ms": "2023", "mean input tokens": "307", "total input tokens": "1,511,895", "retries": "1"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 4924 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · sst5 · exact (rounded) | 59.40% | Setup & sourceJevBench Ordinal slices: sst5 · exact (rounded) Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "sst5", "n": "500", "levels": "5", "exact (rounded)": "59.4%", "within 1 level": "97.6%", "MAE (expected level)": "0.477", "RPS": "0.0811", "Spearman": "0.890"}. Runtime diagnostics {"slice": "sst5", "p50 ms": "833", "p95 ms": "1986", "p99 ms": "2713", "mean input tokens": "139", "total input tokens": "69,251", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · sst5 · within 1 level | 97.60% | Setup & sourceJevBench Ordinal slices: sst5 · within 1 level Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "sst5", "n": "500", "levels": "5", "exact (rounded)": "59.4%", "within 1 level": "97.6%", "MAE (expected level)": "0.477", "RPS": "0.0811", "Spearman": "0.890"}. Runtime diagnostics {"slice": "sst5", "p50 ms": "833", "p95 ms": "1986", "p99 ms": "2713", "mean input tokens": "139", "total input tokens": "69,251", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · sst5 · MAE (expected level) | 0.4770 MAE | Setup & sourceJevBench Ordinal slices: sst5 · MAE (expected level) Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "sst5", "n": "500", "levels": "5", "exact (rounded)": "59.4%", "within 1 level": "97.6%", "MAE (expected level)": "0.477", "RPS": "0.0811", "Spearman": "0.890"}. Runtime diagnostics {"slice": "sst5", "p50 ms": "833", "p95 ms": "1986", "p99 ms": "2713", "mean input tokens": "139", "total input tokens": "69,251", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · sst5 · RPS | 0.0811 RPS | Setup & sourceJevBench Ordinal slices: sst5 · RPS Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "sst5", "n": "500", "levels": "5", "exact (rounded)": "59.4%", "within 1 level": "97.6%", "MAE (expected level)": "0.477", "RPS": "0.0811", "Spearman": "0.890"}. Runtime diagnostics {"slice": "sst5", "p50 ms": "833", "p95 ms": "1986", "p99 ms": "2713", "mean input tokens": "139", "total input tokens": "69,251", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · sst5 · Spearman | 0.8900 coefficient | Setup & sourceJevBench Ordinal slices: sst5 · Spearman Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "sst5", "n": "500", "levels": "5", "exact (rounded)": "59.4%", "within 1 level": "97.6%", "MAE (expected level)": "0.477", "RPS": "0.0811", "Spearman": "0.890"}. Runtime diagnostics {"slice": "sst5", "p50 ms": "833", "p95 ms": "1986", "p99 ms": "2713", "mean input tokens": "139", "total input tokens": "69,251", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · nfcorpus_rank_choice · nDCG@10 | 35.54% | Setup & sourceJevBench Ranking slices: nfcorpus_rank_choice · nDCG@10 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "nfcorpus_rank_choice", "queries": "298", "nDCG@10": "0.3554", "MRR@10": "0.6219", "Recall@10": "0.1660", "BM25 nDCG@10": "0.3319", "ceiling nDCG@10": "0.4651", "shortlist recall": "19.1%"}. Runtime diagnostics {"slice": "nfcorpus_rank_choice", "p50 ms": "1131", "p95 ms": "6996", "p99 ms": "7522", "mean input tokens": "2380", "total input tokens": "709,228", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 298 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · nfcorpus_rank_choice · MRR@10 | 62.19% | Setup & sourceJevBench Ranking slices: nfcorpus_rank_choice · MRR@10 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "nfcorpus_rank_choice", "queries": "298", "nDCG@10": "0.3554", "MRR@10": "0.6219", "Recall@10": "0.1660", "BM25 nDCG@10": "0.3319", "ceiling nDCG@10": "0.4651", "shortlist recall": "19.1%"}. Runtime diagnostics {"slice": "nfcorpus_rank_choice", "p50 ms": "1131", "p95 ms": "6996", "p99 ms": "7522", "mean input tokens": "2380", "total input tokens": "709,228", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 298 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · nfcorpus_rank_choice · Recall@10 | 16.60% | Setup & sourceJevBench Ranking slices: nfcorpus_rank_choice · Recall@10 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "nfcorpus_rank_choice", "queries": "298", "nDCG@10": "0.3554", "MRR@10": "0.6219", "Recall@10": "0.1660", "BM25 nDCG@10": "0.3319", "ceiling nDCG@10": "0.4651", "shortlist recall": "19.1%"}. Runtime diagnostics {"slice": "nfcorpus_rank_choice", "p50 ms": "1131", "p95 ms": "6996", "p99 ms": "7522", "mean input tokens": "2380", "total input tokens": "709,228", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 298 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · nfcorpus_rank_graded · nDCG@10 | 36.73% | Setup & sourceJevBench Ranking slices: nfcorpus_rank_graded · nDCG@10 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "nfcorpus_rank_graded", "queries": "298", "nDCG@10": "0.3673", "MRR@10": "0.6026", "Recall@10": "0.1720", "BM25 nDCG@10": "0.3319", "ceiling nDCG@10": "0.4651", "shortlist recall": "19.1%"}. Runtime diagnostics {"slice": "nfcorpus_rank_graded", "p50 ms": "582", "p95 ms": "1449", "p99 ms": "2023", "mean input tokens": "307", "total input tokens": "1,511,895", "retries": "1"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 298 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · nfcorpus_rank_graded · MRR@10 | 60.26% | Setup & sourceJevBench Ranking slices: nfcorpus_rank_graded · MRR@10 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "nfcorpus_rank_graded", "queries": "298", "nDCG@10": "0.3673", "MRR@10": "0.6026", "Recall@10": "0.1720", "BM25 nDCG@10": "0.3319", "ceiling nDCG@10": "0.4651", "shortlist recall": "19.1%"}. Runtime diagnostics {"slice": "nfcorpus_rank_graded", "p50 ms": "582", "p95 ms": "1449", "p99 ms": "2023", "mean input tokens": "307", "total input tokens": "1,511,895", "retries": "1"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 298 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · nfcorpus_rank_graded · Recall@10 | 17.20% | Setup & sourceJevBench Ranking slices: nfcorpus_rank_graded · Recall@10 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "nfcorpus_rank_graded", "queries": "298", "nDCG@10": "0.3673", "MRR@10": "0.6026", "Recall@10": "0.1720", "BM25 nDCG@10": "0.3319", "ceiling nDCG@10": "0.4651", "shortlist recall": "19.1%"}. Runtime diagnostics {"slice": "nfcorpus_rank_graded", "p50 ms": "582", "p95 ms": "1449", "p99 ms": "2023", "mean input tokens": "307", "total input tokens": "1,511,895", "retries": "1"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 298 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · nfcorpus_rank_noul · nDCG@10 | 37.46% | Setup & sourceJevBench Ranking slices: nfcorpus_rank_noul · nDCG@10 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "nfcorpus_rank_noul", "queries": "298", "nDCG@10": "0.3746", "MRR@10": "0.6220", "Recall@10": "0.1723", "BM25 nDCG@10": "0.3319", "ceiling nDCG@10": "0.4651", "shortlist recall": "19.1%"}. Runtime diagnostics {"slice": "nfcorpus_rank_noul", "p50 ms": "2641", "p95 ms": "4668", "p99 ms": "5745", "mean input tokens": "2399", "total input tokens": "715,032", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 298 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · nfcorpus_rank_noul · MRR@10 | 62.20% | Setup & sourceJevBench Ranking slices: nfcorpus_rank_noul · MRR@10 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "nfcorpus_rank_noul", "queries": "298", "nDCG@10": "0.3746", "MRR@10": "0.6220", "Recall@10": "0.1723", "BM25 nDCG@10": "0.3319", "ceiling nDCG@10": "0.4651", "shortlist recall": "19.1%"}. Runtime diagnostics {"slice": "nfcorpus_rank_noul", "p50 ms": "2641", "p95 ms": "4668", "p99 ms": "5745", "mean input tokens": "2399", "total input tokens": "715,032", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 298 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · nfcorpus_rank_noul · Recall@10 | 17.23% | Setup & sourceJevBench Ranking slices: nfcorpus_rank_noul · Recall@10 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "nfcorpus_rank_noul", "queries": "298", "nDCG@10": "0.3746", "MRR@10": "0.6220", "Recall@10": "0.1723", "BM25 nDCG@10": "0.3319", "ceiling nDCG@10": "0.4651", "shortlist recall": "19.1%"}. Runtime diagnostics {"slice": "nfcorpus_rank_noul", "p50 ms": "2641", "p95 ms": "4668", "p99 ms": "5745", "mean input tokens": "2399", "total input tokens": "715,032", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 298 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · scifact_rank_choice · nDCG@10 | 72.55% | Setup & sourceJevBench Ranking slices: scifact_rank_choice · nDCG@10 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "scifact_rank_choice", "queries": "300", "nDCG@10": "0.7255", "MRR@10": "0.7071", "Recall@10": "0.8027", "BM25 nDCG@10": "0.6605", "ceiling nDCG@10": "0.8300", "shortlist recall": "82.6%"}. Runtime diagnostics {"slice": "scifact_rank_choice", "p50 ms": "1042", "p95 ms": "2422", "p99 ms": "2853", "mean input tokens": "3003", "total input tokens": "901,036", "retries": "3"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 300 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · scifact_rank_choice · MRR@10 | 70.71% | Setup & sourceJevBench Ranking slices: scifact_rank_choice · MRR@10 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "scifact_rank_choice", "queries": "300", "nDCG@10": "0.7255", "MRR@10": "0.7071", "Recall@10": "0.8027", "BM25 nDCG@10": "0.6605", "ceiling nDCG@10": "0.8300", "shortlist recall": "82.6%"}. Runtime diagnostics {"slice": "scifact_rank_choice", "p50 ms": "1042", "p95 ms": "2422", "p99 ms": "2853", "mean input tokens": "3003", "total input tokens": "901,036", "retries": "3"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 300 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · scifact_rank_choice · Recall@10 | 80.27% | Setup & sourceJevBench Ranking slices: scifact_rank_choice · Recall@10 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "scifact_rank_choice", "queries": "300", "nDCG@10": "0.7255", "MRR@10": "0.7071", "Recall@10": "0.8027", "BM25 nDCG@10": "0.6605", "ceiling nDCG@10": "0.8300", "shortlist recall": "82.6%"}. Runtime diagnostics {"slice": "scifact_rank_choice", "p50 ms": "1042", "p95 ms": "2422", "p99 ms": "2853", "mean input tokens": "3003", "total input tokens": "901,036", "retries": "3"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 300 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · scifact_rank_noul · nDCG@10 | 74.33% | Setup & sourceJevBench Ranking slices: scifact_rank_noul · nDCG@10 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "scifact_rank_noul", "queries": "300", "nDCG@10": "0.7433", "MRR@10": "0.7255", "Recall@10": "0.8226", "BM25 nDCG@10": "0.6605", "ceiling nDCG@10": "0.8300", "shortlist recall": "82.6%"}. Runtime diagnostics {"slice": "scifact_rank_noul", "p50 ms": "3568", "p95 ms": "7529", "p99 ms": "8694", "mean input tokens": "3020", "total input tokens": "905,961", "retries": "312"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 300 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · scifact_rank_noul · MRR@10 | 72.55% | Setup & sourceJevBench Ranking slices: scifact_rank_noul · MRR@10 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "scifact_rank_noul", "queries": "300", "nDCG@10": "0.7433", "MRR@10": "0.7255", "Recall@10": "0.8226", "BM25 nDCG@10": "0.6605", "ceiling nDCG@10": "0.8300", "shortlist recall": "82.6%"}. Runtime diagnostics {"slice": "scifact_rank_noul", "p50 ms": "3568", "p95 ms": "7529", "p99 ms": "8694", "mean input tokens": "3020", "total input tokens": "905,961", "retries": "312"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 300 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · scifact_rank_noul · Recall@10 | 82.26% | Setup & sourceJevBench Ranking slices: scifact_rank_noul · Recall@10 Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "scifact_rank_noul", "queries": "300", "nDCG@10": "0.7433", "MRR@10": "0.7255", "Recall@10": "0.8226", "BM25 nDCG@10": "0.6605", "ceiling nDCG@10": "0.8300", "shortlist recall": "82.6%"}. Runtime diagnostics {"slice": "scifact_rank_noul", "p50 ms": "3568", "p95 ms": "7529", "p99 ms": "8694", "mean input tokens": "3020", "total input tokens": "905,961", "retries": "312"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 300 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · rewardbench2 · Factuality · accuracy | 82.90% | Setup & sourceJevBench By subset: rewardbench2 · accuracy Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "rewardbench2", "subset": "Factuality", "n": "240", "accuracy": "82.9%"}. Runtime diagnostics {"slice": "rewardbench2", "p50 ms": "896", "p95 ms": "2057", "p99 ms": "2813", "mean input tokens": "1777", "total input tokens": "2,132,815", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 240 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · rewardbench2 · Focus · accuracy | 95.80% | Setup & sourceJevBench By subset: rewardbench2 · accuracy Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "rewardbench2", "subset": "Focus", "n": "240", "accuracy": "95.8%"}. Runtime diagnostics {"slice": "rewardbench2", "p50 ms": "896", "p95 ms": "2057", "p99 ms": "2813", "mean input tokens": "1777", "total input tokens": "2,132,815", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 240 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · rewardbench2 · Math · accuracy | 77.10% | Setup & sourceJevBench By subset: rewardbench2 · accuracy Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "rewardbench2", "subset": "Math", "n": "240", "accuracy": "77.1%"}. Runtime diagnostics {"slice": "rewardbench2", "p50 ms": "896", "p95 ms": "2057", "p99 ms": "2813", "mean input tokens": "1777", "total input tokens": "2,132,815", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 240 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · rewardbench2 · Precise IF · accuracy | 47.90% | Setup & sourceJevBench By subset: rewardbench2 · accuracy Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "rewardbench2", "subset": "Precise IF", "n": "240", "accuracy": "47.9%"}. Runtime diagnostics {"slice": "rewardbench2", "p50 ms": "896", "p95 ms": "2057", "p99 ms": "2813", "mean input tokens": "1777", "total input tokens": "2,132,815", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 240 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · rewardbench2 · Safety · accuracy | 92.90% | Setup & sourceJevBench By subset: rewardbench2 · accuracy Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "rewardbench2", "subset": "Safety", "n": "240", "accuracy": "92.9%"}. Runtime diagnostics {"slice": "rewardbench2", "p50 ms": "896", "p95 ms": "2057", "p99 ms": "2813", "mean input tokens": "1777", "total input tokens": "2,132,815", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 240 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · banking77 · original order | 90.40% | Setup & sourceJevBench Option-order sensitivity: banking77 · original order Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "banking77", "families with both": "500", "original order": "90.4%", "permuted order": "89.4%", "both correct": "88.0%", "flipped by reordering": "3.8%"}. Runtime diagnostics {"slice": "banking77", "p50 ms": "854", "p95 ms": "1951", "p99 ms": "2792", "mean input tokens": "1599", "total input tokens": "1,599,482", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · banking77 · permuted order | 89.40% | Setup & sourceJevBench Option-order sensitivity: banking77 · permuted order Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "banking77", "families with both": "500", "original order": "90.4%", "permuted order": "89.4%", "both correct": "88.0%", "flipped by reordering": "3.8%"}. Runtime diagnostics {"slice": "banking77", "p50 ms": "854", "p95 ms": "1951", "p99 ms": "2792", "mean input tokens": "1599", "total input tokens": "1,599,482", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · banking77 · both correct | 88.00% | Setup & sourceJevBench Option-order sensitivity: banking77 · both correct Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "banking77", "families with both": "500", "original order": "90.4%", "permuted order": "89.4%", "both correct": "88.0%", "flipped by reordering": "3.8%"}. Runtime diagnostics {"slice": "banking77", "p50 ms": "854", "p95 ms": "1951", "p99 ms": "2792", "mean input tokens": "1599", "total input tokens": "1,599,482", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · banking77 · flipped by reordering | 3.80% | Setup & sourceJevBench Option-order sensitivity: banking77 · flipped by reordering Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "banking77", "families with both": "500", "original order": "90.4%", "permuted order": "89.4%", "both correct": "88.0%", "flipped by reordering": "3.8%"}. Runtime diagnostics {"slice": "banking77", "p50 ms": "854", "p95 ms": "1951", "p99 ms": "2792", "mean input tokens": "1599", "total input tokens": "1,599,482", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpbench_server_routing · original order | 100.00% | Setup & sourceJevBench Option-order sensitivity: mcpbench_server_routing · original order Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpbench_server_routing", "families with both": "56", "original order": "100.0%", "permuted order": "100.0%", "both correct": "100.0%", "flipped by reordering": "0.0%"}. Runtime diagnostics {"slice": "mcpbench_server_routing", "p50 ms": "852", "p95 ms": "1950", "p99 ms": "2237", "mean input tokens": "867", "total input tokens": "97,113", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 56 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpbench_server_routing · permuted order | 100.00% | Setup & sourceJevBench Option-order sensitivity: mcpbench_server_routing · permuted order Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpbench_server_routing", "families with both": "56", "original order": "100.0%", "permuted order": "100.0%", "both correct": "100.0%", "flipped by reordering": "0.0%"}. Runtime diagnostics {"slice": "mcpbench_server_routing", "p50 ms": "852", "p95 ms": "1950", "p99 ms": "2237", "mean input tokens": "867", "total input tokens": "97,113", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 56 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpbench_server_routing · both correct | 100.00% | Setup & sourceJevBench Option-order sensitivity: mcpbench_server_routing · both correct Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpbench_server_routing", "families with both": "56", "original order": "100.0%", "permuted order": "100.0%", "both correct": "100.0%", "flipped by reordering": "0.0%"}. Runtime diagnostics {"slice": "mcpbench_server_routing", "p50 ms": "852", "p95 ms": "1950", "p99 ms": "2237", "mean input tokens": "867", "total input tokens": "97,113", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 56 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpbench_server_routing · flipped by reordering | 0.00% | Setup & sourceJevBench Option-order sensitivity: mcpbench_server_routing · flipped by reordering Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpbench_server_routing", "families with both": "56", "original order": "100.0%", "permuted order": "100.0%", "both correct": "100.0%", "flipped by reordering": "0.0%"}. Runtime diagnostics {"slice": "mcpbench_server_routing", "p50 ms": "852", "p95 ms": "1950", "p99 ms": "2237", "mean input tokens": "867", "total input tokens": "97,113", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 56 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpbench_tool_selection · original order | 100.00% | Setup & sourceJevBench Option-order sensitivity: mcpbench_tool_selection · original order Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpbench_tool_selection", "families with both": "4", "original order": "100.0%", "permuted order": "100.0%", "both correct": "100.0%", "flipped by reordering": "0.0%"}. Runtime diagnostics {"slice": "mcpbench_tool_selection", "p50 ms": "773", "p95 ms": "2045", "p99 ms": "2180", "mean input tokens": "755", "total input tokens": "19,632", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 4 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpbench_tool_selection · permuted order | 100.00% | Setup & sourceJevBench Option-order sensitivity: mcpbench_tool_selection · permuted order Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpbench_tool_selection", "families with both": "4", "original order": "100.0%", "permuted order": "100.0%", "both correct": "100.0%", "flipped by reordering": "0.0%"}. Runtime diagnostics {"slice": "mcpbench_tool_selection", "p50 ms": "773", "p95 ms": "2045", "p99 ms": "2180", "mean input tokens": "755", "total input tokens": "19,632", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 4 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpbench_tool_selection · both correct | 100.00% | Setup & sourceJevBench Option-order sensitivity: mcpbench_tool_selection · both correct Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpbench_tool_selection", "families with both": "4", "original order": "100.0%", "permuted order": "100.0%", "both correct": "100.0%", "flipped by reordering": "0.0%"}. Runtime diagnostics {"slice": "mcpbench_tool_selection", "p50 ms": "773", "p95 ms": "2045", "p99 ms": "2180", "mean input tokens": "755", "total input tokens": "19,632", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 4 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpbench_tool_selection · flipped by reordering | 0.00% | Setup & sourceJevBench Option-order sensitivity: mcpbench_tool_selection · flipped by reordering Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpbench_tool_selection", "families with both": "4", "original order": "100.0%", "permuted order": "100.0%", "both correct": "100.0%", "flipped by reordering": "0.0%"}. Runtime diagnostics {"slice": "mcpbench_tool_selection", "p50 ms": "773", "p95 ms": "2045", "p99 ms": "2180", "mean input tokens": "755", "total input tokens": "19,632", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 4 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpmark_server_routing · original order | 57.40% | Setup & sourceJevBench Option-order sensitivity: mcpmark_server_routing · original order Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpmark_server_routing", "families with both": "169", "original order": "57.4%", "permuted order": "56.8%", "both correct": "55.0%", "flipped by reordering": "4.1%"}. Runtime diagnostics {"slice": "mcpmark_server_routing", "p50 ms": "545", "p95 ms": "1223", "p99 ms": "1453", "mean input tokens": "248", "total input tokens": "83,834", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 169 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpmark_server_routing · permuted order | 56.80% | Setup & sourceJevBench Option-order sensitivity: mcpmark_server_routing · permuted order Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpmark_server_routing", "families with both": "169", "original order": "57.4%", "permuted order": "56.8%", "both correct": "55.0%", "flipped by reordering": "4.1%"}. Runtime diagnostics {"slice": "mcpmark_server_routing", "p50 ms": "545", "p95 ms": "1223", "p99 ms": "1453", "mean input tokens": "248", "total input tokens": "83,834", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 169 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpmark_server_routing · both correct | 55.00% | Setup & sourceJevBench Option-order sensitivity: mcpmark_server_routing · both correct Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpmark_server_routing", "families with both": "169", "original order": "57.4%", "permuted order": "56.8%", "both correct": "55.0%", "flipped by reordering": "4.1%"}. Runtime diagnostics {"slice": "mcpmark_server_routing", "p50 ms": "545", "p95 ms": "1223", "p99 ms": "1453", "mean input tokens": "248", "total input tokens": "83,834", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 169 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpmark_server_routing · flipped by reordering | 4.10% | Setup & sourceJevBench Option-order sensitivity: mcpmark_server_routing · flipped by reordering Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpmark_server_routing", "families with both": "169", "original order": "57.4%", "permuted order": "56.8%", "both correct": "55.0%", "flipped by reordering": "4.1%"}. Runtime diagnostics {"slice": "mcpmark_server_routing", "p50 ms": "545", "p95 ms": "1223", "p99 ms": "1453", "mean input tokens": "248", "total input tokens": "83,834", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 169 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpmark_tool_selection · original order | 100.00% | Setup & sourceJevBench Option-order sensitivity: mcpmark_tool_selection · original order Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpmark_tool_selection", "families with both": "3", "original order": "100.0%", "permuted order": "100.0%", "both correct": "100.0%", "flipped by reordering": "0.0%"}. Runtime diagnostics {"slice": "mcpmark_tool_selection", "p50 ms": "683", "p95 ms": "3488", "p99 ms": "3488", "mean input tokens": "402", "total input tokens": "7,245", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 3 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpmark_tool_selection · permuted order | 100.00% | Setup & sourceJevBench Option-order sensitivity: mcpmark_tool_selection · permuted order Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpmark_tool_selection", "families with both": "3", "original order": "100.0%", "permuted order": "100.0%", "both correct": "100.0%", "flipped by reordering": "0.0%"}. Runtime diagnostics {"slice": "mcpmark_tool_selection", "p50 ms": "683", "p95 ms": "3488", "p99 ms": "3488", "mean input tokens": "402", "total input tokens": "7,245", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 3 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpmark_tool_selection · both correct | 100.00% | Setup & sourceJevBench Option-order sensitivity: mcpmark_tool_selection · both correct Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpmark_tool_selection", "families with both": "3", "original order": "100.0%", "permuted order": "100.0%", "both correct": "100.0%", "flipped by reordering": "0.0%"}. Runtime diagnostics {"slice": "mcpmark_tool_selection", "p50 ms": "683", "p95 ms": "3488", "p99 ms": "3488", "mean input tokens": "402", "total input tokens": "7,245", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 3 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mcpmark_tool_selection · flipped by reordering | 0.00% | Setup & sourceJevBench Option-order sensitivity: mcpmark_tool_selection · flipped by reordering Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mcpmark_tool_selection", "families with both": "3", "original order": "100.0%", "permuted order": "100.0%", "both correct": "100.0%", "flipped by reordering": "0.0%"}. Runtime diagnostics {"slice": "mcpmark_tool_selection", "p50 ms": "683", "p95 ms": "3488", "p99 ms": "3488", "mean input tokens": "402", "total input tokens": "7,245", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 3 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · medmcqa · original order | 72.80% | Setup & sourceJevBench Option-order sensitivity: medmcqa · original order Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "medmcqa", "families with both": "500", "original order": "72.8%", "permuted order": "72.4%", "both correct": "66.0%", "flipped by reordering": "13.2%"}. Runtime diagnostics {"slice": "medmcqa", "p50 ms": "590", "p95 ms": "1329", "p99 ms": "1806", "mean input tokens": "141", "total input tokens": "141,057", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · medmcqa · permuted order | 72.40% | Setup & sourceJevBench Option-order sensitivity: medmcqa · permuted order Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "medmcqa", "families with both": "500", "original order": "72.8%", "permuted order": "72.4%", "both correct": "66.0%", "flipped by reordering": "13.2%"}. Runtime diagnostics {"slice": "medmcqa", "p50 ms": "590", "p95 ms": "1329", "p99 ms": "1806", "mean input tokens": "141", "total input tokens": "141,057", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · medmcqa · both correct | 66.00% | Setup & sourceJevBench Option-order sensitivity: medmcqa · both correct Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "medmcqa", "families with both": "500", "original order": "72.8%", "permuted order": "72.4%", "both correct": "66.0%", "flipped by reordering": "13.2%"}. Runtime diagnostics {"slice": "medmcqa", "p50 ms": "590", "p95 ms": "1329", "p99 ms": "1806", "mean input tokens": "141", "total input tokens": "141,057", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · medmcqa · flipped by reordering | 13.20% | Setup & sourceJevBench Option-order sensitivity: medmcqa · flipped by reordering Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "medmcqa", "families with both": "500", "original order": "72.8%", "permuted order": "72.4%", "both correct": "66.0%", "flipped by reordering": "13.2%"}. Runtime diagnostics {"slice": "medmcqa", "p50 ms": "590", "p95 ms": "1329", "p99 ms": "1806", "mean input tokens": "141", "total input tokens": "141,057", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · medqa_usmle · original order | 84.40% | Setup & sourceJevBench Option-order sensitivity: medqa_usmle · original order Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "medqa_usmle", "families with both": "500", "original order": "84.4%", "permuted order": "85.4%", "both correct": "81.4%", "flipped by reordering": "7.0%"}. Runtime diagnostics {"slice": "medqa_usmle", "p50 ms": "596", "p95 ms": "1546", "p99 ms": "2754", "mean input tokens": "301", "total input tokens": "301,460", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · medqa_usmle · permuted order | 85.40% | Setup & sourceJevBench Option-order sensitivity: medqa_usmle · permuted order Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "medqa_usmle", "families with both": "500", "original order": "84.4%", "permuted order": "85.4%", "both correct": "81.4%", "flipped by reordering": "7.0%"}. Runtime diagnostics {"slice": "medqa_usmle", "p50 ms": "596", "p95 ms": "1546", "p99 ms": "2754", "mean input tokens": "301", "total input tokens": "301,460", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · medqa_usmle · both correct | 81.40% | Setup & sourceJevBench Option-order sensitivity: medqa_usmle · both correct Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "medqa_usmle", "families with both": "500", "original order": "84.4%", "permuted order": "85.4%", "both correct": "81.4%", "flipped by reordering": "7.0%"}. Runtime diagnostics {"slice": "medqa_usmle", "p50 ms": "596", "p95 ms": "1546", "p99 ms": "2754", "mean input tokens": "301", "total input tokens": "301,460", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · medqa_usmle · flipped by reordering | 7.00% | Setup & sourceJevBench Option-order sensitivity: medqa_usmle · flipped by reordering Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "medqa_usmle", "families with both": "500", "original order": "84.4%", "permuted order": "85.4%", "both correct": "81.4%", "flipped by reordering": "7.0%"}. Runtime diagnostics {"slice": "medqa_usmle", "p50 ms": "596", "p95 ms": "1546", "p99 ms": "2754", "mean input tokens": "301", "total input tokens": "301,460", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mmlu_pro · original order | 66.20% | Setup & sourceJevBench Option-order sensitivity: mmlu_pro · original order Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mmlu_pro", "families with both": "500", "original order": "66.2%", "permuted order": "62.8%", "both correct": "58.4%", "flipped by reordering": "12.2%"}. Runtime diagnostics {"slice": "mmlu_pro", "p50 ms": "625", "p95 ms": "1712", "p99 ms": "2715", "mean input tokens": "333", "total input tokens": "332,557", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mmlu_pro · permuted order | 62.80% | Setup & sourceJevBench Option-order sensitivity: mmlu_pro · permuted order Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mmlu_pro", "families with both": "500", "original order": "66.2%", "permuted order": "62.8%", "both correct": "58.4%", "flipped by reordering": "12.2%"}. Runtime diagnostics {"slice": "mmlu_pro", "p50 ms": "625", "p95 ms": "1712", "p99 ms": "2715", "mean input tokens": "333", "total input tokens": "332,557", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mmlu_pro · both correct | 58.40% | Setup & sourceJevBench Option-order sensitivity: mmlu_pro · both correct Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mmlu_pro", "families with both": "500", "original order": "66.2%", "permuted order": "62.8%", "both correct": "58.4%", "flipped by reordering": "12.2%"}. Runtime diagnostics {"slice": "mmlu_pro", "p50 ms": "625", "p95 ms": "1712", "p99 ms": "2715", "mean input tokens": "333", "total input tokens": "332,557", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · mmlu_pro · flipped by reordering | 12.20% | Setup & sourceJevBench Option-order sensitivity: mmlu_pro · flipped by reordering Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "mmlu_pro", "families with both": "500", "original order": "66.2%", "permuted order": "62.8%", "both correct": "58.4%", "flipped by reordering": "12.2%"}. Runtime diagnostics {"slice": "mmlu_pro", "p50 ms": "625", "p95 ms": "1712", "p99 ms": "2715", "mean input tokens": "333", "total input tokens": "332,557", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · rewardbench2 · original order | 79.30% | Setup & sourceJevBench Option-order sensitivity: rewardbench2 · original order Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "rewardbench2", "families with both": "594", "original order": "79.3%", "permuted order": "79.3%", "both correct": "73.4%", "flipped by reordering": "12.1%"}. Runtime diagnostics {"slice": "rewardbench2", "p50 ms": "896", "p95 ms": "2057", "p99 ms": "2813", "mean input tokens": "1777", "total input tokens": "2,132,815", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 594 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · rewardbench2 · permuted order | 79.30% | Setup & sourceJevBench Option-order sensitivity: rewardbench2 · permuted order Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "rewardbench2", "families with both": "594", "original order": "79.3%", "permuted order": "79.3%", "both correct": "73.4%", "flipped by reordering": "12.1%"}. Runtime diagnostics {"slice": "rewardbench2", "p50 ms": "896", "p95 ms": "2057", "p99 ms": "2813", "mean input tokens": "1777", "total input tokens": "2,132,815", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 594 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · rewardbench2 · both correct | 73.40% | Setup & sourceJevBench Option-order sensitivity: rewardbench2 · both correct Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "rewardbench2", "families with both": "594", "original order": "79.3%", "permuted order": "79.3%", "both correct": "73.4%", "flipped by reordering": "12.1%"}. Runtime diagnostics {"slice": "rewardbench2", "p50 ms": "896", "p95 ms": "2057", "p99 ms": "2813", "mean input tokens": "1777", "total input tokens": "2,132,815", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 594 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · rewardbench2 · flipped by reordering | 12.10% | Setup & sourceJevBench Option-order sensitivity: rewardbench2 · flipped by reordering Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "rewardbench2", "families with both": "594", "original order": "79.3%", "permuted order": "79.3%", "both correct": "73.4%", "flipped by reordering": "12.1%"}. Runtime diagnostics {"slice": "rewardbench2", "p50 ms": "896", "p95 ms": "2057", "p99 ms": "2813", "mean input tokens": "1777", "total input tokens": "2,132,815", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 594 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · scienceqa_text · original order | 94.40% | Setup & sourceJevBench Option-order sensitivity: scienceqa_text · original order Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "scienceqa_text", "families with both": "500", "original order": "94.4%", "permuted order": "94.0%", "both correct": "92.4%", "flipped by reordering": "3.6%"}. Runtime diagnostics {"slice": "scienceqa_text", "p50 ms": "896", "p95 ms": "2274", "p99 ms": "2831", "mean input tokens": "129", "total input tokens": "129,244", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · scienceqa_text · permuted order | 94.00% | Setup & sourceJevBench Option-order sensitivity: scienceqa_text · permuted order Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "scienceqa_text", "families with both": "500", "original order": "94.4%", "permuted order": "94.0%", "both correct": "92.4%", "flipped by reordering": "3.6%"}. Runtime diagnostics {"slice": "scienceqa_text", "p50 ms": "896", "p95 ms": "2274", "p99 ms": "2831", "mean input tokens": "129", "total input tokens": "129,244", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · scienceqa_text · both correct | 92.40% | Setup & sourceJevBench Option-order sensitivity: scienceqa_text · both correct Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "scienceqa_text", "families with both": "500", "original order": "94.4%", "permuted order": "94.0%", "both correct": "92.4%", "flipped by reordering": "3.6%"}. Runtime diagnostics {"slice": "scienceqa_text", "p50 ms": "896", "p95 ms": "2274", "p99 ms": "2831", "mean input tokens": "129", "total input tokens": "129,244", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench · scienceqa_text · flipped by reordering | 3.60% | Setup & sourceJevBench Option-order sensitivity: scienceqa_text · flipped by reordering Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published row {"slice": "scienceqa_text", "families with both": "500", "original order": "94.4%", "permuted order": "94.0%", "both correct": "92.4%", "flipped by reordering": "3.6%"}. Runtime diagnostics {"slice": "scienceqa_text", "p50 ms": "896", "p95 ms": "2274", "p99 ms": "2831", "mean input tokens": "129", "total input tokens": "129,244", "retries": "0"}. Native complete report preserved; intervals group reordered twins across2000bootstrap resamples. Named source slice, frozen manifest 26 September. One typed question per request except per-document ranking. Unrun is missing; API rejection handling follows source. Bootstrap intervals group reordered twins; ECE uses 10 equal-width bins. Choice Brier is sum convention, binary Brier is separate. NLL excludes exactly-zero gold mass. Ordinal level distances are assumed equal. Option-order sensitivity is correctness flips, not probability drift. Rankings use fixed BM25 top-20. Different direct/gateway d1 reports remain separate. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11T20:01:00-0700 · Samples: 500 Snapshot: 2026-10-17 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · MIT code and released reports; source cases retain upstream licenses Result source · Benchmark source |
| JevBench Sep26 · Index | 76.60 | Setup & sourceJevBench Sep26 · Index Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published category aggregate. Per-dataset normalized inputs: {"medmcqa": 72.6, "medqa_usmle": 84.9, "pubmedqa": 65.6, "mmlu_pro": 64.5, "scienceqa_text": 94.2, "mcpbench_server_routing": 100.0, "mcpbench_tool_selection": 100.0, "mcpmark_server_routing": 57.1, "mcpmark_tool_selection": 100.0, "banking77": 89.9, "sst5": 88.1, "aegis2": 84.0, "aegis2_response": 77.2, "atbench500": 68.8, "jailbreak_classification": 96.8, "prompt_injections": 81.0, "scifact_rank_noul": 74.3, "nfcorpus_rank_noul": 37.5, "helpsteer2_helpfulness": 55.5, "rewardbench2": 79.3} Publisher normalized per-dataset scores, averaged within six categories and then categories. Complete6/6; not Benchmark Heaven JevBench or an Examenos recomputation. Checked / reported: 2026-10-20 · Samples: Not published Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench Sep26 · Science | 76.40 | Setup & sourceJevBench Sep26 · Science Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published category aggregate. Per-dataset normalized inputs: {"medmcqa": 72.6, "medqa_usmle": 84.9, "pubmedqa": 65.6, "mmlu_pro": 64.5, "scienceqa_text": 94.2, "mcpbench_server_routing": 100.0, "mcpbench_tool_selection": 100.0, "mcpmark_server_routing": 57.1, "mcpmark_tool_selection": 100.0, "banking77": 89.9, "sst5": 88.1, "aegis2": 84.0, "aegis2_response": 77.2, "atbench500": 68.8, "jailbreak_classification": 96.8, "prompt_injections": 81.0, "scifact_rank_noul": 74.3, "nfcorpus_rank_noul": 37.5, "helpsteer2_helpfulness": 55.5, "rewardbench2": 79.3} Publisher normalized per-dataset scores, averaged within six categories and then categories. Complete6/6; not Benchmark Heaven JevBench or an Examenos recomputation. Checked / reported: 2026-10-20 · Samples: Not published Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench Sep26 · Tool calling | 89.30 | Setup & sourceJevBench Sep26 · Tool calling Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published category aggregate. Per-dataset normalized inputs: {"medmcqa": 72.6, "medqa_usmle": 84.9, "pubmedqa": 65.6, "mmlu_pro": 64.5, "scienceqa_text": 94.2, "mcpbench_server_routing": 100.0, "mcpbench_tool_selection": 100.0, "mcpmark_server_routing": 57.1, "mcpmark_tool_selection": 100.0, "banking77": 89.9, "sst5": 88.1, "aegis2": 84.0, "aegis2_response": 77.2, "atbench500": 68.8, "jailbreak_classification": 96.8, "prompt_injections": 81.0, "scifact_rank_noul": 74.3, "nfcorpus_rank_noul": 37.5, "helpsteer2_helpfulness": 55.5, "rewardbench2": 79.3} Publisher normalized per-dataset scores, averaged within six categories and then categories. Complete6/6; not Benchmark Heaven JevBench or an Examenos recomputation. Checked / reported: 2026-10-20 · Samples: Not published Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench Sep26 · Business | 89.00 | Setup & sourceJevBench Sep26 · Business Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published category aggregate. Per-dataset normalized inputs: {"medmcqa": 72.6, "medqa_usmle": 84.9, "pubmedqa": 65.6, "mmlu_pro": 64.5, "scienceqa_text": 94.2, "mcpbench_server_routing": 100.0, "mcpbench_tool_selection": 100.0, "mcpmark_server_routing": 57.1, "mcpmark_tool_selection": 100.0, "banking77": 89.9, "sst5": 88.1, "aegis2": 84.0, "aegis2_response": 77.2, "atbench500": 68.8, "jailbreak_classification": 96.8, "prompt_injections": 81.0, "scifact_rank_noul": 74.3, "nfcorpus_rank_noul": 37.5, "helpsteer2_helpfulness": 55.5, "rewardbench2": 79.3} Publisher normalized per-dataset scores, averaged within six categories and then categories. Complete6/6; not Benchmark Heaven JevBench or an Examenos recomputation. Checked / reported: 2026-10-20 · Samples: Not published Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench Sep26 · Selection | 81.60 | Setup & sourceJevBench Sep26 · Selection Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published category aggregate. Per-dataset normalized inputs: {"medmcqa": 72.6, "medqa_usmle": 84.9, "pubmedqa": 65.6, "mmlu_pro": 64.5, "scienceqa_text": 94.2, "mcpbench_server_routing": 100.0, "mcpbench_tool_selection": 100.0, "mcpmark_server_routing": 57.1, "mcpmark_tool_selection": 100.0, "banking77": 89.9, "sst5": 88.1, "aegis2": 84.0, "aegis2_response": 77.2, "atbench500": 68.8, "jailbreak_classification": 96.8, "prompt_injections": 81.0, "scifact_rank_noul": 74.3, "nfcorpus_rank_noul": 37.5, "helpsteer2_helpfulness": 55.5, "rewardbench2": 79.3} Publisher normalized per-dataset scores, averaged within six categories and then categories. Complete6/6; not Benchmark Heaven JevBench or an Examenos recomputation. Checked / reported: 2026-10-20 · Samples: Not published Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench Sep26 · Ranking | 55.90 | Setup & sourceJevBench Sep26 · Ranking Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published category aggregate. Per-dataset normalized inputs: {"medmcqa": 72.6, "medqa_usmle": 84.9, "pubmedqa": 65.6, "mmlu_pro": 64.5, "scienceqa_text": 94.2, "mcpbench_server_routing": 100.0, "mcpbench_tool_selection": 100.0, "mcpmark_server_routing": 57.1, "mcpmark_tool_selection": 100.0, "banking77": 89.9, "sst5": 88.1, "aegis2": 84.0, "aegis2_response": 77.2, "atbench500": 68.8, "jailbreak_classification": 96.8, "prompt_injections": 81.0, "scifact_rank_noul": 74.3, "nfcorpus_rank_noul": 37.5, "helpsteer2_helpfulness": 55.5, "rewardbench2": 79.3} Publisher normalized per-dataset scores, averaged within six categories and then categories. Complete6/6; not Benchmark Heaven JevBench or an Examenos recomputation. Checked / reported: 2026-10-20 · Samples: Not published Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench Sep26 · Judging | 67.40 | Setup & sourceJevBench Sep26 · Judging Scored 2026-10-11T20:01:00-0700. Model requested `or-inception-mercury-decide`, endpoint `https://openrouter.ai/api/alpha/decisions`, manifest pinned 2026-09-26. One typed question per request, except `*_rank_noul` slices, which ask one noul per candidate document in a single request. Published category aggregate. Per-dataset normalized inputs: {"medmcqa": 72.6, "medqa_usmle": 84.9, "pubmedqa": 65.6, "mmlu_pro": 64.5, "scienceqa_text": 94.2, "mcpbench_server_routing": 100.0, "mcpbench_tool_selection": 100.0, "mcpmark_server_routing": 57.1, "mcpmark_tool_selection": 100.0, "banking77": 89.9, "sst5": 88.1, "aegis2": 84.0, "aegis2_response": 77.2, "atbench500": 68.8, "jailbreak_classification": 96.8, "prompt_injections": 81.0, "scifact_rank_noul": 74.3, "nfcorpus_rank_noul": 37.5, "helpsteer2_helpfulness": 55.5, "rewardbench2": 79.3} Publisher normalized per-dataset scores, averaged within six categories and then categories. Complete6/6; not Benchmark Heaven JevBench or an Examenos recomputation. Checked / reported: 2026-10-20 · Samples: Not published Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
Independent · JevBench multilingual
| Evaluation | Result | Evidence |
|---|---|---|
| JevBench multilingual · English baseline · overall · acc | 81.56% | Setup & sourceJevBench multilingual · English baseline · overall · acc Mercury Decide, same named hosted route; English baseline; slice overall. {} Full source observations: {"n": 2016, "acc": 0.8156, "auroc": 0.9574, "slices": {"aegis2": {"n": 500, "acc": 0.84, "auroc": 0.9279, "yes": 0.464, "gold_yes": 0.5}, "aegis2_response": {"n": 500, "acc": 0.772, "auroc": 0.8876, "yes": 0.352, "gold_yes": 0.5}, "atbench500": {"n": 500, "acc": 0.688, "auroc": 0.9932, "yes": 0.188, "gold_yes": 0.5}, "jailbreak_classification": {"n": 400, "acc": 0.9675, "auroc": 0.993, "yes": 0.32, "gold_yes": 0.3525}, "prompt_injections": {"n": 116, "acc": 0.8103, "auroc": 0.9851, "yes": 0.3276, "gold_yes": 0.5172}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 2016 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · English baseline · overall · auroc | 0.9574 coefficient | Setup & sourceJevBench multilingual · English baseline · overall · auroc Mercury Decide, same named hosted route; English baseline; slice overall. {} Full source observations: {"n": 2016, "acc": 0.8156, "auroc": 0.9574, "slices": {"aegis2": {"n": 500, "acc": 0.84, "auroc": 0.9279, "yes": 0.464, "gold_yes": 0.5}, "aegis2_response": {"n": 500, "acc": 0.772, "auroc": 0.8876, "yes": 0.352, "gold_yes": 0.5}, "atbench500": {"n": 500, "acc": 0.688, "auroc": 0.9932, "yes": 0.188, "gold_yes": 0.5}, "jailbreak_classification": {"n": 400, "acc": 0.9675, "auroc": 0.993, "yes": 0.32, "gold_yes": 0.3525}, "prompt_injections": {"n": 116, "acc": 0.8103, "auroc": 0.9851, "yes": 0.3276, "gold_yes": 0.5172}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 2016 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · English baseline · aegis2 · acc | 84.00% | Setup & sourceJevBench multilingual · English baseline · aegis2 · acc Mercury Decide, same named hosted route; English baseline; slice aegis2. {} Full source observations: {"n": 500, "acc": 0.84, "auroc": 0.9279, "yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · English baseline · aegis2 · auroc | 0.9279 coefficient | Setup & sourceJevBench multilingual · English baseline · aegis2 · auroc Mercury Decide, same named hosted route; English baseline; slice aegis2. {} Full source observations: {"n": 500, "acc": 0.84, "auroc": 0.9279, "yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · English baseline · aegis2 · yes | 46.40% | Setup & sourceJevBench multilingual · English baseline · aegis2 · yes Mercury Decide, same named hosted route; English baseline; slice aegis2. {} Full source observations: {"n": 500, "acc": 0.84, "auroc": 0.9279, "yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · English baseline · aegis2_response · acc | 77.20% | Setup & sourceJevBench multilingual · English baseline · aegis2_response · acc Mercury Decide, same named hosted route; English baseline; slice aegis2_response. {} Full source observations: {"n": 500, "acc": 0.772, "auroc": 0.8876, "yes": 0.352, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · English baseline · aegis2_response · auroc | 0.8876 coefficient | Setup & sourceJevBench multilingual · English baseline · aegis2_response · auroc Mercury Decide, same named hosted route; English baseline; slice aegis2_response. {} Full source observations: {"n": 500, "acc": 0.772, "auroc": 0.8876, "yes": 0.352, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · English baseline · aegis2_response · yes | 35.20% | Setup & sourceJevBench multilingual · English baseline · aegis2_response · yes Mercury Decide, same named hosted route; English baseline; slice aegis2_response. {} Full source observations: {"n": 500, "acc": 0.772, "auroc": 0.8876, "yes": 0.352, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · English baseline · atbench500 · acc | 68.80% | Setup & sourceJevBench multilingual · English baseline · atbench500 · acc Mercury Decide, same named hosted route; English baseline; slice atbench500. {} Full source observations: {"n": 500, "acc": 0.688, "auroc": 0.9932, "yes": 0.188, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · English baseline · atbench500 · auroc | 0.9932 coefficient | Setup & sourceJevBench multilingual · English baseline · atbench500 · auroc Mercury Decide, same named hosted route; English baseline; slice atbench500. {} Full source observations: {"n": 500, "acc": 0.688, "auroc": 0.9932, "yes": 0.188, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · English baseline · atbench500 · yes | 18.80% | Setup & sourceJevBench multilingual · English baseline · atbench500 · yes Mercury Decide, same named hosted route; English baseline; slice atbench500. {} Full source observations: {"n": 500, "acc": 0.688, "auroc": 0.9932, "yes": 0.188, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · English baseline · jailbreak_classification · acc | 96.75% | Setup & sourceJevBench multilingual · English baseline · jailbreak_classification · acc Mercury Decide, same named hosted route; English baseline; slice jailbreak_classification. {} Full source observations: {"n": 400, "acc": 0.9675, "auroc": 0.993, "yes": 0.32, "gold_yes": 0.3525}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 400 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · English baseline · jailbreak_classification · auroc | 0.9930 coefficient | Setup & sourceJevBench multilingual · English baseline · jailbreak_classification · auroc Mercury Decide, same named hosted route; English baseline; slice jailbreak_classification. {} Full source observations: {"n": 400, "acc": 0.9675, "auroc": 0.993, "yes": 0.32, "gold_yes": 0.3525}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 400 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · English baseline · jailbreak_classification · yes | 32.00% | Setup & sourceJevBench multilingual · English baseline · jailbreak_classification · yes Mercury Decide, same named hosted route; English baseline; slice jailbreak_classification. {} Full source observations: {"n": 400, "acc": 0.9675, "auroc": 0.993, "yes": 0.32, "gold_yes": 0.3525}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 400 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · English baseline · prompt_injections · acc | 81.03% | Setup & sourceJevBench multilingual · English baseline · prompt_injections · acc Mercury Decide, same named hosted route; English baseline; slice prompt_injections. {} Full source observations: {"n": 116, "acc": 0.8103, "auroc": 0.9851, "yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · English baseline · prompt_injections · auroc | 0.9851 coefficient | Setup & sourceJevBench multilingual · English baseline · prompt_injections · auroc Mercury Decide, same named hosted route; English baseline; slice prompt_injections. {} Full source observations: {"n": 116, "acc": 0.8103, "auroc": 0.9851, "yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · English baseline · prompt_injections · yes | 32.76% | Setup & sourceJevBench multilingual · English baseline · prompt_injections · yes Mercury Decide, same named hosted route; English baseline; slice prompt_injections. {} Full source observations: {"n": 116, "acc": 0.8103, "auroc": 0.9851, "yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · overall · acc | 81.26% | Setup & sourceJevBench multilingual · Chinese · overall · acc Mercury Decide, same named hosted route; Chinese; slice overall. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 1979, "acc": 0.8126, "en_acc": 0.8158, "delta": -0.0033, "ci": [-0.0179, 0.0116], "significant": false, "auroc": 0.9508, "en_auroc": 0.9572, "slices": {"aegis2": {"n": 499, "acc": 0.8437, "en_acc": 0.8397, "auroc": 0.9205, "en_auroc": 0.9276, "yes": 0.4729, "en_yes": 0.4649, "gold_yes": 0.501}, "aegis2_response": {"n": 500, "acc": 0.758, "en_acc": 0.772, "auroc": 0.8726, "en_auroc": 0.8876, "yes": 0.37, "en_yes": 0.352, "gold_yes": 0.5}, "atbench500": {"n": 467, "acc": 0.6702, "en_acc": 0.6874, "auroc": 0.9865, "en_auroc": 0.9924, "yes": 0.1627, "en_yes": 0.1799, "gold_yes": 0.4925}, "jailbreak_classification": {"n": 397, "acc": 0.9547, "en_acc": 0.9698, "auroc": 0.9929, "en_auroc": 0.9933, "yes": 0.3174, "en_yes": 0.3174, "gold_yes": 0.3476}, "prompt_injections": {"n": 116, "acc": 0.8362, "en_acc": 0.8103, "auroc": 0.9815, "en_auroc": 0.9851, "yes": 0.3534, "en_yes": 0.3276, "gold_yes": 0.5172}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 1979 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · overall · auroc | 0.9508 coefficient | Setup & sourceJevBench multilingual · Chinese · overall · auroc Mercury Decide, same named hosted route; Chinese; slice overall. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 1979, "acc": 0.8126, "en_acc": 0.8158, "delta": -0.0033, "ci": [-0.0179, 0.0116], "significant": false, "auroc": 0.9508, "en_auroc": 0.9572, "slices": {"aegis2": {"n": 499, "acc": 0.8437, "en_acc": 0.8397, "auroc": 0.9205, "en_auroc": 0.9276, "yes": 0.4729, "en_yes": 0.4649, "gold_yes": 0.501}, "aegis2_response": {"n": 500, "acc": 0.758, "en_acc": 0.772, "auroc": 0.8726, "en_auroc": 0.8876, "yes": 0.37, "en_yes": 0.352, "gold_yes": 0.5}, "atbench500": {"n": 467, "acc": 0.6702, "en_acc": 0.6874, "auroc": 0.9865, "en_auroc": 0.9924, "yes": 0.1627, "en_yes": 0.1799, "gold_yes": 0.4925}, "jailbreak_classification": {"n": 397, "acc": 0.9547, "en_acc": 0.9698, "auroc": 0.9929, "en_auroc": 0.9933, "yes": 0.3174, "en_yes": 0.3174, "gold_yes": 0.3476}, "prompt_injections": {"n": 116, "acc": 0.8362, "en_acc": 0.8103, "auroc": 0.9815, "en_auroc": 0.9851, "yes": 0.3534, "en_yes": 0.3276, "gold_yes": 0.5172}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 1979 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · overall · en_acc | 81.58% | Setup & sourceJevBench multilingual · Chinese · overall · en_acc Mercury Decide, same named hosted route; Chinese; slice overall. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 1979, "acc": 0.8126, "en_acc": 0.8158, "delta": -0.0033, "ci": [-0.0179, 0.0116], "significant": false, "auroc": 0.9508, "en_auroc": 0.9572, "slices": {"aegis2": {"n": 499, "acc": 0.8437, "en_acc": 0.8397, "auroc": 0.9205, "en_auroc": 0.9276, "yes": 0.4729, "en_yes": 0.4649, "gold_yes": 0.501}, "aegis2_response": {"n": 500, "acc": 0.758, "en_acc": 0.772, "auroc": 0.8726, "en_auroc": 0.8876, "yes": 0.37, "en_yes": 0.352, "gold_yes": 0.5}, "atbench500": {"n": 467, "acc": 0.6702, "en_acc": 0.6874, "auroc": 0.9865, "en_auroc": 0.9924, "yes": 0.1627, "en_yes": 0.1799, "gold_yes": 0.4925}, "jailbreak_classification": {"n": 397, "acc": 0.9547, "en_acc": 0.9698, "auroc": 0.9929, "en_auroc": 0.9933, "yes": 0.3174, "en_yes": 0.3174, "gold_yes": 0.3476}, "prompt_injections": {"n": 116, "acc": 0.8362, "en_acc": 0.8103, "auroc": 0.9815, "en_auroc": 0.9851, "yes": 0.3534, "en_yes": 0.3276, "gold_yes": 0.5172}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 1979 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · overall · en_auroc | 0.9572 coefficient | Setup & sourceJevBench multilingual · Chinese · overall · en_auroc Mercury Decide, same named hosted route; Chinese; slice overall. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 1979, "acc": 0.8126, "en_acc": 0.8158, "delta": -0.0033, "ci": [-0.0179, 0.0116], "significant": false, "auroc": 0.9508, "en_auroc": 0.9572, "slices": {"aegis2": {"n": 499, "acc": 0.8437, "en_acc": 0.8397, "auroc": 0.9205, "en_auroc": 0.9276, "yes": 0.4729, "en_yes": 0.4649, "gold_yes": 0.501}, "aegis2_response": {"n": 500, "acc": 0.758, "en_acc": 0.772, "auroc": 0.8726, "en_auroc": 0.8876, "yes": 0.37, "en_yes": 0.352, "gold_yes": 0.5}, "atbench500": {"n": 467, "acc": 0.6702, "en_acc": 0.6874, "auroc": 0.9865, "en_auroc": 0.9924, "yes": 0.1627, "en_yes": 0.1799, "gold_yes": 0.4925}, "jailbreak_classification": {"n": 397, "acc": 0.9547, "en_acc": 0.9698, "auroc": 0.9929, "en_auroc": 0.9933, "yes": 0.3174, "en_yes": 0.3174, "gold_yes": 0.3476}, "prompt_injections": {"n": 116, "acc": 0.8362, "en_acc": 0.8103, "auroc": 0.9815, "en_auroc": 0.9851, "yes": 0.3534, "en_yes": 0.3276, "gold_yes": 0.5172}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 1979 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · overall · delta | -0.33 pp | Setup & sourceJevBench multilingual · Chinese · overall · delta Mercury Decide, same named hosted route; Chinese; slice overall. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 1979, "acc": 0.8126, "en_acc": 0.8158, "delta": -0.0033, "ci": [-0.0179, 0.0116], "significant": false, "auroc": 0.9508, "en_auroc": 0.9572, "slices": {"aegis2": {"n": 499, "acc": 0.8437, "en_acc": 0.8397, "auroc": 0.9205, "en_auroc": 0.9276, "yes": 0.4729, "en_yes": 0.4649, "gold_yes": 0.501}, "aegis2_response": {"n": 500, "acc": 0.758, "en_acc": 0.772, "auroc": 0.8726, "en_auroc": 0.8876, "yes": 0.37, "en_yes": 0.352, "gold_yes": 0.5}, "atbench500": {"n": 467, "acc": 0.6702, "en_acc": 0.6874, "auroc": 0.9865, "en_auroc": 0.9924, "yes": 0.1627, "en_yes": 0.1799, "gold_yes": 0.4925}, "jailbreak_classification": {"n": 397, "acc": 0.9547, "en_acc": 0.9698, "auroc": 0.9929, "en_auroc": 0.9933, "yes": 0.3174, "en_yes": 0.3174, "gold_yes": 0.3476}, "prompt_injections": {"n": 116, "acc": 0.8362, "en_acc": 0.8103, "auroc": 0.9815, "en_auroc": 0.9851, "yes": 0.3534, "en_yes": 0.3276, "gold_yes": 0.5172}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 1979 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · aegis2 · acc | 84.37% | Setup & sourceJevBench multilingual · Chinese · aegis2 · acc Mercury Decide, same named hosted route; Chinese; slice aegis2. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 499, "acc": 0.8437, "en_acc": 0.8397, "auroc": 0.9205, "en_auroc": 0.9276, "yes": 0.4729, "en_yes": 0.4649, "gold_yes": 0.501}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · aegis2 · auroc | 0.9205 coefficient | Setup & sourceJevBench multilingual · Chinese · aegis2 · auroc Mercury Decide, same named hosted route; Chinese; slice aegis2. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 499, "acc": 0.8437, "en_acc": 0.8397, "auroc": 0.9205, "en_auroc": 0.9276, "yes": 0.4729, "en_yes": 0.4649, "gold_yes": 0.501}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · aegis2 · en_acc | 83.97% | Setup & sourceJevBench multilingual · Chinese · aegis2 · en_acc Mercury Decide, same named hosted route; Chinese; slice aegis2. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 499, "acc": 0.8437, "en_acc": 0.8397, "auroc": 0.9205, "en_auroc": 0.9276, "yes": 0.4729, "en_yes": 0.4649, "gold_yes": 0.501}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · aegis2 · en_auroc | 0.9276 coefficient | Setup & sourceJevBench multilingual · Chinese · aegis2 · en_auroc Mercury Decide, same named hosted route; Chinese; slice aegis2. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 499, "acc": 0.8437, "en_acc": 0.8397, "auroc": 0.9205, "en_auroc": 0.9276, "yes": 0.4729, "en_yes": 0.4649, "gold_yes": 0.501}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · aegis2 · yes | 47.29% | Setup & sourceJevBench multilingual · Chinese · aegis2 · yes Mercury Decide, same named hosted route; Chinese; slice aegis2. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 499, "acc": 0.8437, "en_acc": 0.8397, "auroc": 0.9205, "en_auroc": 0.9276, "yes": 0.4729, "en_yes": 0.4649, "gold_yes": 0.501}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · aegis2 · en_yes | 46.49% | Setup & sourceJevBench multilingual · Chinese · aegis2 · en_yes Mercury Decide, same named hosted route; Chinese; slice aegis2. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 499, "acc": 0.8437, "en_acc": 0.8397, "auroc": 0.9205, "en_auroc": 0.9276, "yes": 0.4729, "en_yes": 0.4649, "gold_yes": 0.501}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · aegis2_response · acc | 75.80% | Setup & sourceJevBench multilingual · Chinese · aegis2_response · acc Mercury Decide, same named hosted route; Chinese; slice aegis2_response. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 500, "acc": 0.758, "en_acc": 0.772, "auroc": 0.8726, "en_auroc": 0.8876, "yes": 0.37, "en_yes": 0.352, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · aegis2_response · auroc | 0.8726 coefficient | Setup & sourceJevBench multilingual · Chinese · aegis2_response · auroc Mercury Decide, same named hosted route; Chinese; slice aegis2_response. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 500, "acc": 0.758, "en_acc": 0.772, "auroc": 0.8726, "en_auroc": 0.8876, "yes": 0.37, "en_yes": 0.352, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · aegis2_response · en_acc | 77.20% | Setup & sourceJevBench multilingual · Chinese · aegis2_response · en_acc Mercury Decide, same named hosted route; Chinese; slice aegis2_response. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 500, "acc": 0.758, "en_acc": 0.772, "auroc": 0.8726, "en_auroc": 0.8876, "yes": 0.37, "en_yes": 0.352, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · aegis2_response · en_auroc | 0.8876 coefficient | Setup & sourceJevBench multilingual · Chinese · aegis2_response · en_auroc Mercury Decide, same named hosted route; Chinese; slice aegis2_response. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 500, "acc": 0.758, "en_acc": 0.772, "auroc": 0.8726, "en_auroc": 0.8876, "yes": 0.37, "en_yes": 0.352, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · aegis2_response · yes | 37.00% | Setup & sourceJevBench multilingual · Chinese · aegis2_response · yes Mercury Decide, same named hosted route; Chinese; slice aegis2_response. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 500, "acc": 0.758, "en_acc": 0.772, "auroc": 0.8726, "en_auroc": 0.8876, "yes": 0.37, "en_yes": 0.352, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · aegis2_response · en_yes | 35.20% | Setup & sourceJevBench multilingual · Chinese · aegis2_response · en_yes Mercury Decide, same named hosted route; Chinese; slice aegis2_response. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 500, "acc": 0.758, "en_acc": 0.772, "auroc": 0.8726, "en_auroc": 0.8876, "yes": 0.37, "en_yes": 0.352, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · atbench500 · acc | 67.02% | Setup & sourceJevBench multilingual · Chinese · atbench500 · acc Mercury Decide, same named hosted route; Chinese; slice atbench500. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 467, "acc": 0.6702, "en_acc": 0.6874, "auroc": 0.9865, "en_auroc": 0.9924, "yes": 0.1627, "en_yes": 0.1799, "gold_yes": 0.4925}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 467 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · atbench500 · auroc | 0.9865 coefficient | Setup & sourceJevBench multilingual · Chinese · atbench500 · auroc Mercury Decide, same named hosted route; Chinese; slice atbench500. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 467, "acc": 0.6702, "en_acc": 0.6874, "auroc": 0.9865, "en_auroc": 0.9924, "yes": 0.1627, "en_yes": 0.1799, "gold_yes": 0.4925}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 467 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · atbench500 · en_acc | 68.74% | Setup & sourceJevBench multilingual · Chinese · atbench500 · en_acc Mercury Decide, same named hosted route; Chinese; slice atbench500. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 467, "acc": 0.6702, "en_acc": 0.6874, "auroc": 0.9865, "en_auroc": 0.9924, "yes": 0.1627, "en_yes": 0.1799, "gold_yes": 0.4925}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 467 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · atbench500 · en_auroc | 0.9924 coefficient | Setup & sourceJevBench multilingual · Chinese · atbench500 · en_auroc Mercury Decide, same named hosted route; Chinese; slice atbench500. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 467, "acc": 0.6702, "en_acc": 0.6874, "auroc": 0.9865, "en_auroc": 0.9924, "yes": 0.1627, "en_yes": 0.1799, "gold_yes": 0.4925}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 467 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · atbench500 · yes | 16.27% | Setup & sourceJevBench multilingual · Chinese · atbench500 · yes Mercury Decide, same named hosted route; Chinese; slice atbench500. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 467, "acc": 0.6702, "en_acc": 0.6874, "auroc": 0.9865, "en_auroc": 0.9924, "yes": 0.1627, "en_yes": 0.1799, "gold_yes": 0.4925}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 467 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · atbench500 · en_yes | 17.99% | Setup & sourceJevBench multilingual · Chinese · atbench500 · en_yes Mercury Decide, same named hosted route; Chinese; slice atbench500. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 467, "acc": 0.6702, "en_acc": 0.6874, "auroc": 0.9865, "en_auroc": 0.9924, "yes": 0.1627, "en_yes": 0.1799, "gold_yes": 0.4925}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 467 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · jailbreak_classification · acc | 95.47% | Setup & sourceJevBench multilingual · Chinese · jailbreak_classification · acc Mercury Decide, same named hosted route; Chinese; slice jailbreak_classification. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 397, "acc": 0.9547, "en_acc": 0.9698, "auroc": 0.9929, "en_auroc": 0.9933, "yes": 0.3174, "en_yes": 0.3174, "gold_yes": 0.3476}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 397 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · jailbreak_classification · auroc | 0.9929 coefficient | Setup & sourceJevBench multilingual · Chinese · jailbreak_classification · auroc Mercury Decide, same named hosted route; Chinese; slice jailbreak_classification. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 397, "acc": 0.9547, "en_acc": 0.9698, "auroc": 0.9929, "en_auroc": 0.9933, "yes": 0.3174, "en_yes": 0.3174, "gold_yes": 0.3476}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 397 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · jailbreak_classification · en_acc | 96.98% | Setup & sourceJevBench multilingual · Chinese · jailbreak_classification · en_acc Mercury Decide, same named hosted route; Chinese; slice jailbreak_classification. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 397, "acc": 0.9547, "en_acc": 0.9698, "auroc": 0.9929, "en_auroc": 0.9933, "yes": 0.3174, "en_yes": 0.3174, "gold_yes": 0.3476}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 397 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · jailbreak_classification · en_auroc | 0.9933 coefficient | Setup & sourceJevBench multilingual · Chinese · jailbreak_classification · en_auroc Mercury Decide, same named hosted route; Chinese; slice jailbreak_classification. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 397, "acc": 0.9547, "en_acc": 0.9698, "auroc": 0.9929, "en_auroc": 0.9933, "yes": 0.3174, "en_yes": 0.3174, "gold_yes": 0.3476}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 397 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · jailbreak_classification · yes | 31.74% | Setup & sourceJevBench multilingual · Chinese · jailbreak_classification · yes Mercury Decide, same named hosted route; Chinese; slice jailbreak_classification. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 397, "acc": 0.9547, "en_acc": 0.9698, "auroc": 0.9929, "en_auroc": 0.9933, "yes": 0.3174, "en_yes": 0.3174, "gold_yes": 0.3476}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 397 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · jailbreak_classification · en_yes | 31.74% | Setup & sourceJevBench multilingual · Chinese · jailbreak_classification · en_yes Mercury Decide, same named hosted route; Chinese; slice jailbreak_classification. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 397, "acc": 0.9547, "en_acc": 0.9698, "auroc": 0.9929, "en_auroc": 0.9933, "yes": 0.3174, "en_yes": 0.3174, "gold_yes": 0.3476}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 397 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · prompt_injections · acc | 83.62% | Setup & sourceJevBench multilingual · Chinese · prompt_injections · acc Mercury Decide, same named hosted route; Chinese; slice prompt_injections. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 116, "acc": 0.8362, "en_acc": 0.8103, "auroc": 0.9815, "en_auroc": 0.9851, "yes": 0.3534, "en_yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · prompt_injections · auroc | 0.9815 coefficient | Setup & sourceJevBench multilingual · Chinese · prompt_injections · auroc Mercury Decide, same named hosted route; Chinese; slice prompt_injections. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 116, "acc": 0.8362, "en_acc": 0.8103, "auroc": 0.9815, "en_auroc": 0.9851, "yes": 0.3534, "en_yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · prompt_injections · en_acc | 81.03% | Setup & sourceJevBench multilingual · Chinese · prompt_injections · en_acc Mercury Decide, same named hosted route; Chinese; slice prompt_injections. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 116, "acc": 0.8362, "en_acc": 0.8103, "auroc": 0.9815, "en_auroc": 0.9851, "yes": 0.3534, "en_yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · prompt_injections · en_auroc | 0.9851 coefficient | Setup & sourceJevBench multilingual · Chinese · prompt_injections · en_auroc Mercury Decide, same named hosted route; Chinese; slice prompt_injections. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 116, "acc": 0.8362, "en_acc": 0.8103, "auroc": 0.9815, "en_auroc": 0.9851, "yes": 0.3534, "en_yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · prompt_injections · yes | 35.34% | Setup & sourceJevBench multilingual · Chinese · prompt_injections · yes Mercury Decide, same named hosted route; Chinese; slice prompt_injections. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 116, "acc": 0.8362, "en_acc": 0.8103, "auroc": 0.9815, "en_auroc": 0.9851, "yes": 0.3534, "en_yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Chinese · prompt_injections · en_yes | 32.76% | Setup & sourceJevBench multilingual · Chinese · prompt_injections · en_yes Mercury Decide, same named hosted route; Chinese; slice prompt_injections. {"answered": 1979, "cases": 1979, "complete": true} Full source observations: {"n": 116, "acc": 0.8362, "en_acc": 0.8103, "auroc": 0.9815, "en_auroc": 0.9851, "yes": 0.3534, "en_yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · overall · acc | 80.34% | Setup & sourceJevBench multilingual · Arabic · overall · acc Mercury Decide, same named hosted route; Arabic; slice overall. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 2007, "acc": 0.8034, "en_acc": 0.815, "delta": -0.0116, "ci": [-0.0259, 0.0041], "significant": false, "auroc": 0.9434, "en_auroc": 0.9573, "slices": {"aegis2": {"n": 500, "acc": 0.826, "en_acc": 0.84, "auroc": 0.9152, "en_auroc": 0.9279, "yes": 0.494, "en_yes": 0.464, "gold_yes": 0.5}, "aegis2_response": {"n": 499, "acc": 0.7756, "en_acc": 0.7715, "auroc": 0.859, "en_auroc": 0.8874, "yes": 0.3868, "en_yes": 0.3507, "gold_yes": 0.499}, "atbench500": {"n": 493, "acc": 0.6897, "en_acc": 0.6856, "auroc": 0.9873, "en_auroc": 0.993, "yes": 0.1947, "en_yes": 0.1907, "gold_yes": 0.5051}, "jailbreak_classification": {"n": 399, "acc": 0.9499, "en_acc": 0.9674, "auroc": 0.9862, "en_auroc": 0.993, "yes": 0.3308, "en_yes": 0.3183, "gold_yes": 0.3509}, "prompt_injections": {"n": 116, "acc": 0.7759, "en_acc": 0.8103, "auroc": 0.9693, "en_auroc": 0.9851, "yes": 0.2931, "en_yes": 0.3276, "gold_yes": 0.5172}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 2007 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · overall · auroc | 0.9434 coefficient | Setup & sourceJevBench multilingual · Arabic · overall · auroc Mercury Decide, same named hosted route; Arabic; slice overall. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 2007, "acc": 0.8034, "en_acc": 0.815, "delta": -0.0116, "ci": [-0.0259, 0.0041], "significant": false, "auroc": 0.9434, "en_auroc": 0.9573, "slices": {"aegis2": {"n": 500, "acc": 0.826, "en_acc": 0.84, "auroc": 0.9152, "en_auroc": 0.9279, "yes": 0.494, "en_yes": 0.464, "gold_yes": 0.5}, "aegis2_response": {"n": 499, "acc": 0.7756, "en_acc": 0.7715, "auroc": 0.859, "en_auroc": 0.8874, "yes": 0.3868, "en_yes": 0.3507, "gold_yes": 0.499}, "atbench500": {"n": 493, "acc": 0.6897, "en_acc": 0.6856, "auroc": 0.9873, "en_auroc": 0.993, "yes": 0.1947, "en_yes": 0.1907, "gold_yes": 0.5051}, "jailbreak_classification": {"n": 399, "acc": 0.9499, "en_acc": 0.9674, "auroc": 0.9862, "en_auroc": 0.993, "yes": 0.3308, "en_yes": 0.3183, "gold_yes": 0.3509}, "prompt_injections": {"n": 116, "acc": 0.7759, "en_acc": 0.8103, "auroc": 0.9693, "en_auroc": 0.9851, "yes": 0.2931, "en_yes": 0.3276, "gold_yes": 0.5172}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 2007 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · overall · en_acc | 81.50% | Setup & sourceJevBench multilingual · Arabic · overall · en_acc Mercury Decide, same named hosted route; Arabic; slice overall. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 2007, "acc": 0.8034, "en_acc": 0.815, "delta": -0.0116, "ci": [-0.0259, 0.0041], "significant": false, "auroc": 0.9434, "en_auroc": 0.9573, "slices": {"aegis2": {"n": 500, "acc": 0.826, "en_acc": 0.84, "auroc": 0.9152, "en_auroc": 0.9279, "yes": 0.494, "en_yes": 0.464, "gold_yes": 0.5}, "aegis2_response": {"n": 499, "acc": 0.7756, "en_acc": 0.7715, "auroc": 0.859, "en_auroc": 0.8874, "yes": 0.3868, "en_yes": 0.3507, "gold_yes": 0.499}, "atbench500": {"n": 493, "acc": 0.6897, "en_acc": 0.6856, "auroc": 0.9873, "en_auroc": 0.993, "yes": 0.1947, "en_yes": 0.1907, "gold_yes": 0.5051}, "jailbreak_classification": {"n": 399, "acc": 0.9499, "en_acc": 0.9674, "auroc": 0.9862, "en_auroc": 0.993, "yes": 0.3308, "en_yes": 0.3183, "gold_yes": 0.3509}, "prompt_injections": {"n": 116, "acc": 0.7759, "en_acc": 0.8103, "auroc": 0.9693, "en_auroc": 0.9851, "yes": 0.2931, "en_yes": 0.3276, "gold_yes": 0.5172}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 2007 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · overall · en_auroc | 0.9573 coefficient | Setup & sourceJevBench multilingual · Arabic · overall · en_auroc Mercury Decide, same named hosted route; Arabic; slice overall. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 2007, "acc": 0.8034, "en_acc": 0.815, "delta": -0.0116, "ci": [-0.0259, 0.0041], "significant": false, "auroc": 0.9434, "en_auroc": 0.9573, "slices": {"aegis2": {"n": 500, "acc": 0.826, "en_acc": 0.84, "auroc": 0.9152, "en_auroc": 0.9279, "yes": 0.494, "en_yes": 0.464, "gold_yes": 0.5}, "aegis2_response": {"n": 499, "acc": 0.7756, "en_acc": 0.7715, "auroc": 0.859, "en_auroc": 0.8874, "yes": 0.3868, "en_yes": 0.3507, "gold_yes": 0.499}, "atbench500": {"n": 493, "acc": 0.6897, "en_acc": 0.6856, "auroc": 0.9873, "en_auroc": 0.993, "yes": 0.1947, "en_yes": 0.1907, "gold_yes": 0.5051}, "jailbreak_classification": {"n": 399, "acc": 0.9499, "en_acc": 0.9674, "auroc": 0.9862, "en_auroc": 0.993, "yes": 0.3308, "en_yes": 0.3183, "gold_yes": 0.3509}, "prompt_injections": {"n": 116, "acc": 0.7759, "en_acc": 0.8103, "auroc": 0.9693, "en_auroc": 0.9851, "yes": 0.2931, "en_yes": 0.3276, "gold_yes": 0.5172}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 2007 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · overall · delta | -1.16 pp | Setup & sourceJevBench multilingual · Arabic · overall · delta Mercury Decide, same named hosted route; Arabic; slice overall. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 2007, "acc": 0.8034, "en_acc": 0.815, "delta": -0.0116, "ci": [-0.0259, 0.0041], "significant": false, "auroc": 0.9434, "en_auroc": 0.9573, "slices": {"aegis2": {"n": 500, "acc": 0.826, "en_acc": 0.84, "auroc": 0.9152, "en_auroc": 0.9279, "yes": 0.494, "en_yes": 0.464, "gold_yes": 0.5}, "aegis2_response": {"n": 499, "acc": 0.7756, "en_acc": 0.7715, "auroc": 0.859, "en_auroc": 0.8874, "yes": 0.3868, "en_yes": 0.3507, "gold_yes": 0.499}, "atbench500": {"n": 493, "acc": 0.6897, "en_acc": 0.6856, "auroc": 0.9873, "en_auroc": 0.993, "yes": 0.1947, "en_yes": 0.1907, "gold_yes": 0.5051}, "jailbreak_classification": {"n": 399, "acc": 0.9499, "en_acc": 0.9674, "auroc": 0.9862, "en_auroc": 0.993, "yes": 0.3308, "en_yes": 0.3183, "gold_yes": 0.3509}, "prompt_injections": {"n": 116, "acc": 0.7759, "en_acc": 0.8103, "auroc": 0.9693, "en_auroc": 0.9851, "yes": 0.2931, "en_yes": 0.3276, "gold_yes": 0.5172}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 2007 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · aegis2 · acc | 82.60% | Setup & sourceJevBench multilingual · Arabic · aegis2 · acc Mercury Decide, same named hosted route; Arabic; slice aegis2. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 500, "acc": 0.826, "en_acc": 0.84, "auroc": 0.9152, "en_auroc": 0.9279, "yes": 0.494, "en_yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · aegis2 · auroc | 0.9152 coefficient | Setup & sourceJevBench multilingual · Arabic · aegis2 · auroc Mercury Decide, same named hosted route; Arabic; slice aegis2. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 500, "acc": 0.826, "en_acc": 0.84, "auroc": 0.9152, "en_auroc": 0.9279, "yes": 0.494, "en_yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · aegis2 · en_acc | 84.00% | Setup & sourceJevBench multilingual · Arabic · aegis2 · en_acc Mercury Decide, same named hosted route; Arabic; slice aegis2. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 500, "acc": 0.826, "en_acc": 0.84, "auroc": 0.9152, "en_auroc": 0.9279, "yes": 0.494, "en_yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · aegis2 · en_auroc | 0.9279 coefficient | Setup & sourceJevBench multilingual · Arabic · aegis2 · en_auroc Mercury Decide, same named hosted route; Arabic; slice aegis2. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 500, "acc": 0.826, "en_acc": 0.84, "auroc": 0.9152, "en_auroc": 0.9279, "yes": 0.494, "en_yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · aegis2 · yes | 49.40% | Setup & sourceJevBench multilingual · Arabic · aegis2 · yes Mercury Decide, same named hosted route; Arabic; slice aegis2. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 500, "acc": 0.826, "en_acc": 0.84, "auroc": 0.9152, "en_auroc": 0.9279, "yes": 0.494, "en_yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · aegis2 · en_yes | 46.40% | Setup & sourceJevBench multilingual · Arabic · aegis2 · en_yes Mercury Decide, same named hosted route; Arabic; slice aegis2. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 500, "acc": 0.826, "en_acc": 0.84, "auroc": 0.9152, "en_auroc": 0.9279, "yes": 0.494, "en_yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · aegis2_response · acc | 77.56% | Setup & sourceJevBench multilingual · Arabic · aegis2_response · acc Mercury Decide, same named hosted route; Arabic; slice aegis2_response. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 499, "acc": 0.7756, "en_acc": 0.7715, "auroc": 0.859, "en_auroc": 0.8874, "yes": 0.3868, "en_yes": 0.3507, "gold_yes": 0.499}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · aegis2_response · auroc | 0.8590 coefficient | Setup & sourceJevBench multilingual · Arabic · aegis2_response · auroc Mercury Decide, same named hosted route; Arabic; slice aegis2_response. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 499, "acc": 0.7756, "en_acc": 0.7715, "auroc": 0.859, "en_auroc": 0.8874, "yes": 0.3868, "en_yes": 0.3507, "gold_yes": 0.499}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · aegis2_response · en_acc | 77.15% | Setup & sourceJevBench multilingual · Arabic · aegis2_response · en_acc Mercury Decide, same named hosted route; Arabic; slice aegis2_response. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 499, "acc": 0.7756, "en_acc": 0.7715, "auroc": 0.859, "en_auroc": 0.8874, "yes": 0.3868, "en_yes": 0.3507, "gold_yes": 0.499}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · aegis2_response · en_auroc | 0.8874 coefficient | Setup & sourceJevBench multilingual · Arabic · aegis2_response · en_auroc Mercury Decide, same named hosted route; Arabic; slice aegis2_response. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 499, "acc": 0.7756, "en_acc": 0.7715, "auroc": 0.859, "en_auroc": 0.8874, "yes": 0.3868, "en_yes": 0.3507, "gold_yes": 0.499}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · aegis2_response · yes | 38.68% | Setup & sourceJevBench multilingual · Arabic · aegis2_response · yes Mercury Decide, same named hosted route; Arabic; slice aegis2_response. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 499, "acc": 0.7756, "en_acc": 0.7715, "auroc": 0.859, "en_auroc": 0.8874, "yes": 0.3868, "en_yes": 0.3507, "gold_yes": 0.499}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · aegis2_response · en_yes | 35.07% | Setup & sourceJevBench multilingual · Arabic · aegis2_response · en_yes Mercury Decide, same named hosted route; Arabic; slice aegis2_response. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 499, "acc": 0.7756, "en_acc": 0.7715, "auroc": 0.859, "en_auroc": 0.8874, "yes": 0.3868, "en_yes": 0.3507, "gold_yes": 0.499}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · atbench500 · acc | 68.97% | Setup & sourceJevBench multilingual · Arabic · atbench500 · acc Mercury Decide, same named hosted route; Arabic; slice atbench500. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 493, "acc": 0.6897, "en_acc": 0.6856, "auroc": 0.9873, "en_auroc": 0.993, "yes": 0.1947, "en_yes": 0.1907, "gold_yes": 0.5051}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 493 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · atbench500 · auroc | 0.9873 coefficient | Setup & sourceJevBench multilingual · Arabic · atbench500 · auroc Mercury Decide, same named hosted route; Arabic; slice atbench500. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 493, "acc": 0.6897, "en_acc": 0.6856, "auroc": 0.9873, "en_auroc": 0.993, "yes": 0.1947, "en_yes": 0.1907, "gold_yes": 0.5051}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 493 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · atbench500 · en_acc | 68.56% | Setup & sourceJevBench multilingual · Arabic · atbench500 · en_acc Mercury Decide, same named hosted route; Arabic; slice atbench500. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 493, "acc": 0.6897, "en_acc": 0.6856, "auroc": 0.9873, "en_auroc": 0.993, "yes": 0.1947, "en_yes": 0.1907, "gold_yes": 0.5051}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 493 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · atbench500 · en_auroc | 0.9930 coefficient | Setup & sourceJevBench multilingual · Arabic · atbench500 · en_auroc Mercury Decide, same named hosted route; Arabic; slice atbench500. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 493, "acc": 0.6897, "en_acc": 0.6856, "auroc": 0.9873, "en_auroc": 0.993, "yes": 0.1947, "en_yes": 0.1907, "gold_yes": 0.5051}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 493 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · atbench500 · yes | 19.47% | Setup & sourceJevBench multilingual · Arabic · atbench500 · yes Mercury Decide, same named hosted route; Arabic; slice atbench500. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 493, "acc": 0.6897, "en_acc": 0.6856, "auroc": 0.9873, "en_auroc": 0.993, "yes": 0.1947, "en_yes": 0.1907, "gold_yes": 0.5051}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 493 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · atbench500 · en_yes | 19.07% | Setup & sourceJevBench multilingual · Arabic · atbench500 · en_yes Mercury Decide, same named hosted route; Arabic; slice atbench500. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 493, "acc": 0.6897, "en_acc": 0.6856, "auroc": 0.9873, "en_auroc": 0.993, "yes": 0.1947, "en_yes": 0.1907, "gold_yes": 0.5051}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 493 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · jailbreak_classification · acc | 94.99% | Setup & sourceJevBench multilingual · Arabic · jailbreak_classification · acc Mercury Decide, same named hosted route; Arabic; slice jailbreak_classification. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 399, "acc": 0.9499, "en_acc": 0.9674, "auroc": 0.9862, "en_auroc": 0.993, "yes": 0.3308, "en_yes": 0.3183, "gold_yes": 0.3509}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 399 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · jailbreak_classification · auroc | 0.9862 coefficient | Setup & sourceJevBench multilingual · Arabic · jailbreak_classification · auroc Mercury Decide, same named hosted route; Arabic; slice jailbreak_classification. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 399, "acc": 0.9499, "en_acc": 0.9674, "auroc": 0.9862, "en_auroc": 0.993, "yes": 0.3308, "en_yes": 0.3183, "gold_yes": 0.3509}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 399 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · jailbreak_classification · en_acc | 96.74% | Setup & sourceJevBench multilingual · Arabic · jailbreak_classification · en_acc Mercury Decide, same named hosted route; Arabic; slice jailbreak_classification. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 399, "acc": 0.9499, "en_acc": 0.9674, "auroc": 0.9862, "en_auroc": 0.993, "yes": 0.3308, "en_yes": 0.3183, "gold_yes": 0.3509}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 399 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · jailbreak_classification · en_auroc | 0.9930 coefficient | Setup & sourceJevBench multilingual · Arabic · jailbreak_classification · en_auroc Mercury Decide, same named hosted route; Arabic; slice jailbreak_classification. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 399, "acc": 0.9499, "en_acc": 0.9674, "auroc": 0.9862, "en_auroc": 0.993, "yes": 0.3308, "en_yes": 0.3183, "gold_yes": 0.3509}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 399 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · jailbreak_classification · yes | 33.08% | Setup & sourceJevBench multilingual · Arabic · jailbreak_classification · yes Mercury Decide, same named hosted route; Arabic; slice jailbreak_classification. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 399, "acc": 0.9499, "en_acc": 0.9674, "auroc": 0.9862, "en_auroc": 0.993, "yes": 0.3308, "en_yes": 0.3183, "gold_yes": 0.3509}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 399 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · jailbreak_classification · en_yes | 31.83% | Setup & sourceJevBench multilingual · Arabic · jailbreak_classification · en_yes Mercury Decide, same named hosted route; Arabic; slice jailbreak_classification. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 399, "acc": 0.9499, "en_acc": 0.9674, "auroc": 0.9862, "en_auroc": 0.993, "yes": 0.3308, "en_yes": 0.3183, "gold_yes": 0.3509}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 399 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · prompt_injections · acc | 77.59% | Setup & sourceJevBench multilingual · Arabic · prompt_injections · acc Mercury Decide, same named hosted route; Arabic; slice prompt_injections. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 116, "acc": 0.7759, "en_acc": 0.8103, "auroc": 0.9693, "en_auroc": 0.9851, "yes": 0.2931, "en_yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · prompt_injections · auroc | 0.9693 coefficient | Setup & sourceJevBench multilingual · Arabic · prompt_injections · auroc Mercury Decide, same named hosted route; Arabic; slice prompt_injections. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 116, "acc": 0.7759, "en_acc": 0.8103, "auroc": 0.9693, "en_auroc": 0.9851, "yes": 0.2931, "en_yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · prompt_injections · en_acc | 81.03% | Setup & sourceJevBench multilingual · Arabic · prompt_injections · en_acc Mercury Decide, same named hosted route; Arabic; slice prompt_injections. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 116, "acc": 0.7759, "en_acc": 0.8103, "auroc": 0.9693, "en_auroc": 0.9851, "yes": 0.2931, "en_yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · prompt_injections · en_auroc | 0.9851 coefficient | Setup & sourceJevBench multilingual · Arabic · prompt_injections · en_auroc Mercury Decide, same named hosted route; Arabic; slice prompt_injections. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 116, "acc": 0.7759, "en_acc": 0.8103, "auroc": 0.9693, "en_auroc": 0.9851, "yes": 0.2931, "en_yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · prompt_injections · yes | 29.31% | Setup & sourceJevBench multilingual · Arabic · prompt_injections · yes Mercury Decide, same named hosted route; Arabic; slice prompt_injections. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 116, "acc": 0.7759, "en_acc": 0.8103, "auroc": 0.9693, "en_auroc": 0.9851, "yes": 0.2931, "en_yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Arabic · prompt_injections · en_yes | 32.76% | Setup & sourceJevBench multilingual · Arabic · prompt_injections · en_yes Mercury Decide, same named hosted route; Arabic; slice prompt_injections. {"answered": 2007, "cases": 2007, "complete": true} Full source observations: {"n": 116, "acc": 0.7759, "en_acc": 0.8103, "auroc": 0.9693, "en_auroc": 0.9851, "yes": 0.2931, "en_yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · overall · acc | 79.46% | Setup & sourceJevBench multilingual · Hindi · overall · acc Mercury Decide, same named hosted route; Hindi; slice overall. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 1999, "acc": 0.7946, "en_acc": 0.8151, "delta": -0.0205, "ci": [-0.036, -0.0048], "significant": true, "auroc": 0.9436, "en_auroc": 0.9573, "slices": {"aegis2": {"n": 500, "acc": 0.82, "en_acc": 0.84, "auroc": 0.9062, "en_auroc": 0.9279, "yes": 0.464, "en_yes": 0.464, "gold_yes": 0.5}, "aegis2_response": {"n": 499, "acc": 0.7655, "en_acc": 0.7715, "auroc": 0.8756, "en_auroc": 0.8871, "yes": 0.3607, "en_yes": 0.3507, "gold_yes": 0.499}, "atbench500": {"n": 487, "acc": 0.6571, "en_acc": 0.6838, "auroc": 0.9884, "en_auroc": 0.9929, "yes": 0.1622, "en_yes": 0.1889, "gold_yes": 0.5051}, "jailbreak_classification": {"n": 397, "acc": 0.9547, "en_acc": 0.9698, "auroc": 0.9885, "en_auroc": 0.9933, "yes": 0.3375, "en_yes": 0.3174, "gold_yes": 0.3476}, "prompt_injections": {"n": 116, "acc": 0.7759, "en_acc": 0.8103, "auroc": 0.9595, "en_auroc": 0.9851, "yes": 0.2931, "en_yes": 0.3276, "gold_yes": 0.5172}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 1999 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · overall · auroc | 0.9436 coefficient | Setup & sourceJevBench multilingual · Hindi · overall · auroc Mercury Decide, same named hosted route; Hindi; slice overall. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 1999, "acc": 0.7946, "en_acc": 0.8151, "delta": -0.0205, "ci": [-0.036, -0.0048], "significant": true, "auroc": 0.9436, "en_auroc": 0.9573, "slices": {"aegis2": {"n": 500, "acc": 0.82, "en_acc": 0.84, "auroc": 0.9062, "en_auroc": 0.9279, "yes": 0.464, "en_yes": 0.464, "gold_yes": 0.5}, "aegis2_response": {"n": 499, "acc": 0.7655, "en_acc": 0.7715, "auroc": 0.8756, "en_auroc": 0.8871, "yes": 0.3607, "en_yes": 0.3507, "gold_yes": 0.499}, "atbench500": {"n": 487, "acc": 0.6571, "en_acc": 0.6838, "auroc": 0.9884, "en_auroc": 0.9929, "yes": 0.1622, "en_yes": 0.1889, "gold_yes": 0.5051}, "jailbreak_classification": {"n": 397, "acc": 0.9547, "en_acc": 0.9698, "auroc": 0.9885, "en_auroc": 0.9933, "yes": 0.3375, "en_yes": 0.3174, "gold_yes": 0.3476}, "prompt_injections": {"n": 116, "acc": 0.7759, "en_acc": 0.8103, "auroc": 0.9595, "en_auroc": 0.9851, "yes": 0.2931, "en_yes": 0.3276, "gold_yes": 0.5172}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 1999 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · overall · en_acc | 81.51% | Setup & sourceJevBench multilingual · Hindi · overall · en_acc Mercury Decide, same named hosted route; Hindi; slice overall. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 1999, "acc": 0.7946, "en_acc": 0.8151, "delta": -0.0205, "ci": [-0.036, -0.0048], "significant": true, "auroc": 0.9436, "en_auroc": 0.9573, "slices": {"aegis2": {"n": 500, "acc": 0.82, "en_acc": 0.84, "auroc": 0.9062, "en_auroc": 0.9279, "yes": 0.464, "en_yes": 0.464, "gold_yes": 0.5}, "aegis2_response": {"n": 499, "acc": 0.7655, "en_acc": 0.7715, "auroc": 0.8756, "en_auroc": 0.8871, "yes": 0.3607, "en_yes": 0.3507, "gold_yes": 0.499}, "atbench500": {"n": 487, "acc": 0.6571, "en_acc": 0.6838, "auroc": 0.9884, "en_auroc": 0.9929, "yes": 0.1622, "en_yes": 0.1889, "gold_yes": 0.5051}, "jailbreak_classification": {"n": 397, "acc": 0.9547, "en_acc": 0.9698, "auroc": 0.9885, "en_auroc": 0.9933, "yes": 0.3375, "en_yes": 0.3174, "gold_yes": 0.3476}, "prompt_injections": {"n": 116, "acc": 0.7759, "en_acc": 0.8103, "auroc": 0.9595, "en_auroc": 0.9851, "yes": 0.2931, "en_yes": 0.3276, "gold_yes": 0.5172}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 1999 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · overall · en_auroc | 0.9573 coefficient | Setup & sourceJevBench multilingual · Hindi · overall · en_auroc Mercury Decide, same named hosted route; Hindi; slice overall. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 1999, "acc": 0.7946, "en_acc": 0.8151, "delta": -0.0205, "ci": [-0.036, -0.0048], "significant": true, "auroc": 0.9436, "en_auroc": 0.9573, "slices": {"aegis2": {"n": 500, "acc": 0.82, "en_acc": 0.84, "auroc": 0.9062, "en_auroc": 0.9279, "yes": 0.464, "en_yes": 0.464, "gold_yes": 0.5}, "aegis2_response": {"n": 499, "acc": 0.7655, "en_acc": 0.7715, "auroc": 0.8756, "en_auroc": 0.8871, "yes": 0.3607, "en_yes": 0.3507, "gold_yes": 0.499}, "atbench500": {"n": 487, "acc": 0.6571, "en_acc": 0.6838, "auroc": 0.9884, "en_auroc": 0.9929, "yes": 0.1622, "en_yes": 0.1889, "gold_yes": 0.5051}, "jailbreak_classification": {"n": 397, "acc": 0.9547, "en_acc": 0.9698, "auroc": 0.9885, "en_auroc": 0.9933, "yes": 0.3375, "en_yes": 0.3174, "gold_yes": 0.3476}, "prompt_injections": {"n": 116, "acc": 0.7759, "en_acc": 0.8103, "auroc": 0.9595, "en_auroc": 0.9851, "yes": 0.2931, "en_yes": 0.3276, "gold_yes": 0.5172}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 1999 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · overall · delta | -2.05 pp | Setup & sourceJevBench multilingual · Hindi · overall · delta Mercury Decide, same named hosted route; Hindi; slice overall. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 1999, "acc": 0.7946, "en_acc": 0.8151, "delta": -0.0205, "ci": [-0.036, -0.0048], "significant": true, "auroc": 0.9436, "en_auroc": 0.9573, "slices": {"aegis2": {"n": 500, "acc": 0.82, "en_acc": 0.84, "auroc": 0.9062, "en_auroc": 0.9279, "yes": 0.464, "en_yes": 0.464, "gold_yes": 0.5}, "aegis2_response": {"n": 499, "acc": 0.7655, "en_acc": 0.7715, "auroc": 0.8756, "en_auroc": 0.8871, "yes": 0.3607, "en_yes": 0.3507, "gold_yes": 0.499}, "atbench500": {"n": 487, "acc": 0.6571, "en_acc": 0.6838, "auroc": 0.9884, "en_auroc": 0.9929, "yes": 0.1622, "en_yes": 0.1889, "gold_yes": 0.5051}, "jailbreak_classification": {"n": 397, "acc": 0.9547, "en_acc": 0.9698, "auroc": 0.9885, "en_auroc": 0.9933, "yes": 0.3375, "en_yes": 0.3174, "gold_yes": 0.3476}, "prompt_injections": {"n": 116, "acc": 0.7759, "en_acc": 0.8103, "auroc": 0.9595, "en_auroc": 0.9851, "yes": 0.2931, "en_yes": 0.3276, "gold_yes": 0.5172}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 1999 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · aegis2 · acc | 82.00% | Setup & sourceJevBench multilingual · Hindi · aegis2 · acc Mercury Decide, same named hosted route; Hindi; slice aegis2. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 500, "acc": 0.82, "en_acc": 0.84, "auroc": 0.9062, "en_auroc": 0.9279, "yes": 0.464, "en_yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · aegis2 · auroc | 0.9062 coefficient | Setup & sourceJevBench multilingual · Hindi · aegis2 · auroc Mercury Decide, same named hosted route; Hindi; slice aegis2. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 500, "acc": 0.82, "en_acc": 0.84, "auroc": 0.9062, "en_auroc": 0.9279, "yes": 0.464, "en_yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · aegis2 · en_acc | 84.00% | Setup & sourceJevBench multilingual · Hindi · aegis2 · en_acc Mercury Decide, same named hosted route; Hindi; slice aegis2. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 500, "acc": 0.82, "en_acc": 0.84, "auroc": 0.9062, "en_auroc": 0.9279, "yes": 0.464, "en_yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · aegis2 · en_auroc | 0.9279 coefficient | Setup & sourceJevBench multilingual · Hindi · aegis2 · en_auroc Mercury Decide, same named hosted route; Hindi; slice aegis2. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 500, "acc": 0.82, "en_acc": 0.84, "auroc": 0.9062, "en_auroc": 0.9279, "yes": 0.464, "en_yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · aegis2 · yes | 46.40% | Setup & sourceJevBench multilingual · Hindi · aegis2 · yes Mercury Decide, same named hosted route; Hindi; slice aegis2. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 500, "acc": 0.82, "en_acc": 0.84, "auroc": 0.9062, "en_auroc": 0.9279, "yes": 0.464, "en_yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · aegis2 · en_yes | 46.40% | Setup & sourceJevBench multilingual · Hindi · aegis2 · en_yes Mercury Decide, same named hosted route; Hindi; slice aegis2. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 500, "acc": 0.82, "en_acc": 0.84, "auroc": 0.9062, "en_auroc": 0.9279, "yes": 0.464, "en_yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · aegis2_response · acc | 76.55% | Setup & sourceJevBench multilingual · Hindi · aegis2_response · acc Mercury Decide, same named hosted route; Hindi; slice aegis2_response. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 499, "acc": 0.7655, "en_acc": 0.7715, "auroc": 0.8756, "en_auroc": 0.8871, "yes": 0.3607, "en_yes": 0.3507, "gold_yes": 0.499}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · aegis2_response · auroc | 0.8756 coefficient | Setup & sourceJevBench multilingual · Hindi · aegis2_response · auroc Mercury Decide, same named hosted route; Hindi; slice aegis2_response. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 499, "acc": 0.7655, "en_acc": 0.7715, "auroc": 0.8756, "en_auroc": 0.8871, "yes": 0.3607, "en_yes": 0.3507, "gold_yes": 0.499}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · aegis2_response · en_acc | 77.15% | Setup & sourceJevBench multilingual · Hindi · aegis2_response · en_acc Mercury Decide, same named hosted route; Hindi; slice aegis2_response. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 499, "acc": 0.7655, "en_acc": 0.7715, "auroc": 0.8756, "en_auroc": 0.8871, "yes": 0.3607, "en_yes": 0.3507, "gold_yes": 0.499}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · aegis2_response · en_auroc | 0.8871 coefficient | Setup & sourceJevBench multilingual · Hindi · aegis2_response · en_auroc Mercury Decide, same named hosted route; Hindi; slice aegis2_response. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 499, "acc": 0.7655, "en_acc": 0.7715, "auroc": 0.8756, "en_auroc": 0.8871, "yes": 0.3607, "en_yes": 0.3507, "gold_yes": 0.499}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · aegis2_response · yes | 36.07% | Setup & sourceJevBench multilingual · Hindi · aegis2_response · yes Mercury Decide, same named hosted route; Hindi; slice aegis2_response. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 499, "acc": 0.7655, "en_acc": 0.7715, "auroc": 0.8756, "en_auroc": 0.8871, "yes": 0.3607, "en_yes": 0.3507, "gold_yes": 0.499}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · aegis2_response · en_yes | 35.07% | Setup & sourceJevBench multilingual · Hindi · aegis2_response · en_yes Mercury Decide, same named hosted route; Hindi; slice aegis2_response. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 499, "acc": 0.7655, "en_acc": 0.7715, "auroc": 0.8756, "en_auroc": 0.8871, "yes": 0.3607, "en_yes": 0.3507, "gold_yes": 0.499}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · atbench500 · acc | 65.71% | Setup & sourceJevBench multilingual · Hindi · atbench500 · acc Mercury Decide, same named hosted route; Hindi; slice atbench500. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 487, "acc": 0.6571, "en_acc": 0.6838, "auroc": 0.9884, "en_auroc": 0.9929, "yes": 0.1622, "en_yes": 0.1889, "gold_yes": 0.5051}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 487 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · atbench500 · auroc | 0.9884 coefficient | Setup & sourceJevBench multilingual · Hindi · atbench500 · auroc Mercury Decide, same named hosted route; Hindi; slice atbench500. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 487, "acc": 0.6571, "en_acc": 0.6838, "auroc": 0.9884, "en_auroc": 0.9929, "yes": 0.1622, "en_yes": 0.1889, "gold_yes": 0.5051}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 487 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · atbench500 · en_acc | 68.38% | Setup & sourceJevBench multilingual · Hindi · atbench500 · en_acc Mercury Decide, same named hosted route; Hindi; slice atbench500. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 487, "acc": 0.6571, "en_acc": 0.6838, "auroc": 0.9884, "en_auroc": 0.9929, "yes": 0.1622, "en_yes": 0.1889, "gold_yes": 0.5051}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 487 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · atbench500 · en_auroc | 0.9929 coefficient | Setup & sourceJevBench multilingual · Hindi · atbench500 · en_auroc Mercury Decide, same named hosted route; Hindi; slice atbench500. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 487, "acc": 0.6571, "en_acc": 0.6838, "auroc": 0.9884, "en_auroc": 0.9929, "yes": 0.1622, "en_yes": 0.1889, "gold_yes": 0.5051}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 487 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · atbench500 · yes | 16.22% | Setup & sourceJevBench multilingual · Hindi · atbench500 · yes Mercury Decide, same named hosted route; Hindi; slice atbench500. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 487, "acc": 0.6571, "en_acc": 0.6838, "auroc": 0.9884, "en_auroc": 0.9929, "yes": 0.1622, "en_yes": 0.1889, "gold_yes": 0.5051}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 487 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · atbench500 · en_yes | 18.89% | Setup & sourceJevBench multilingual · Hindi · atbench500 · en_yes Mercury Decide, same named hosted route; Hindi; slice atbench500. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 487, "acc": 0.6571, "en_acc": 0.6838, "auroc": 0.9884, "en_auroc": 0.9929, "yes": 0.1622, "en_yes": 0.1889, "gold_yes": 0.5051}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 487 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · jailbreak_classification · acc | 95.47% | Setup & sourceJevBench multilingual · Hindi · jailbreak_classification · acc Mercury Decide, same named hosted route; Hindi; slice jailbreak_classification. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 397, "acc": 0.9547, "en_acc": 0.9698, "auroc": 0.9885, "en_auroc": 0.9933, "yes": 0.3375, "en_yes": 0.3174, "gold_yes": 0.3476}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 397 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · jailbreak_classification · auroc | 0.9885 coefficient | Setup & sourceJevBench multilingual · Hindi · jailbreak_classification · auroc Mercury Decide, same named hosted route; Hindi; slice jailbreak_classification. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 397, "acc": 0.9547, "en_acc": 0.9698, "auroc": 0.9885, "en_auroc": 0.9933, "yes": 0.3375, "en_yes": 0.3174, "gold_yes": 0.3476}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 397 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · jailbreak_classification · en_acc | 96.98% | Setup & sourceJevBench multilingual · Hindi · jailbreak_classification · en_acc Mercury Decide, same named hosted route; Hindi; slice jailbreak_classification. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 397, "acc": 0.9547, "en_acc": 0.9698, "auroc": 0.9885, "en_auroc": 0.9933, "yes": 0.3375, "en_yes": 0.3174, "gold_yes": 0.3476}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 397 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · jailbreak_classification · en_auroc | 0.9933 coefficient | Setup & sourceJevBench multilingual · Hindi · jailbreak_classification · en_auroc Mercury Decide, same named hosted route; Hindi; slice jailbreak_classification. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 397, "acc": 0.9547, "en_acc": 0.9698, "auroc": 0.9885, "en_auroc": 0.9933, "yes": 0.3375, "en_yes": 0.3174, "gold_yes": 0.3476}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 397 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · jailbreak_classification · yes | 33.75% | Setup & sourceJevBench multilingual · Hindi · jailbreak_classification · yes Mercury Decide, same named hosted route; Hindi; slice jailbreak_classification. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 397, "acc": 0.9547, "en_acc": 0.9698, "auroc": 0.9885, "en_auroc": 0.9933, "yes": 0.3375, "en_yes": 0.3174, "gold_yes": 0.3476}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 397 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · jailbreak_classification · en_yes | 31.74% | Setup & sourceJevBench multilingual · Hindi · jailbreak_classification · en_yes Mercury Decide, same named hosted route; Hindi; slice jailbreak_classification. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 397, "acc": 0.9547, "en_acc": 0.9698, "auroc": 0.9885, "en_auroc": 0.9933, "yes": 0.3375, "en_yes": 0.3174, "gold_yes": 0.3476}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 397 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · prompt_injections · acc | 77.59% | Setup & sourceJevBench multilingual · Hindi · prompt_injections · acc Mercury Decide, same named hosted route; Hindi; slice prompt_injections. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 116, "acc": 0.7759, "en_acc": 0.8103, "auroc": 0.9595, "en_auroc": 0.9851, "yes": 0.2931, "en_yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · prompt_injections · auroc | 0.9595 coefficient | Setup & sourceJevBench multilingual · Hindi · prompt_injections · auroc Mercury Decide, same named hosted route; Hindi; slice prompt_injections. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 116, "acc": 0.7759, "en_acc": 0.8103, "auroc": 0.9595, "en_auroc": 0.9851, "yes": 0.2931, "en_yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · prompt_injections · en_acc | 81.03% | Setup & sourceJevBench multilingual · Hindi · prompt_injections · en_acc Mercury Decide, same named hosted route; Hindi; slice prompt_injections. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 116, "acc": 0.7759, "en_acc": 0.8103, "auroc": 0.9595, "en_auroc": 0.9851, "yes": 0.2931, "en_yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · prompt_injections · en_auroc | 0.9851 coefficient | Setup & sourceJevBench multilingual · Hindi · prompt_injections · en_auroc Mercury Decide, same named hosted route; Hindi; slice prompt_injections. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 116, "acc": 0.7759, "en_acc": 0.8103, "auroc": 0.9595, "en_auroc": 0.9851, "yes": 0.2931, "en_yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · prompt_injections · yes | 29.31% | Setup & sourceJevBench multilingual · Hindi · prompt_injections · yes Mercury Decide, same named hosted route; Hindi; slice prompt_injections. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 116, "acc": 0.7759, "en_acc": 0.8103, "auroc": 0.9595, "en_auroc": 0.9851, "yes": 0.2931, "en_yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Hindi · prompt_injections · en_yes | 32.76% | Setup & sourceJevBench multilingual · Hindi · prompt_injections · en_yes Mercury Decide, same named hosted route; Hindi; slice prompt_injections. {"answered": 1999, "cases": 1999, "complete": true} Full source observations: {"n": 116, "acc": 0.7759, "en_acc": 0.8103, "auroc": 0.9595, "en_auroc": 0.9851, "yes": 0.2931, "en_yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · overall · acc | 80.99% | Setup & sourceJevBench multilingual · Vietnamese · overall · acc Mercury Decide, same named hosted route; Vietnamese; slice overall. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 1966, "acc": 0.8099, "en_acc": 0.8154, "delta": -0.0055, "ci": [-0.0209, 0.0101], "significant": false, "auroc": 0.945, "en_auroc": 0.9571, "slices": {"aegis2": {"n": 495, "acc": 0.8384, "en_acc": 0.8384, "auroc": 0.9197, "en_auroc": 0.9267, "yes": 0.4687, "en_yes": 0.4606, "gold_yes": 0.497}, "aegis2_response": {"n": 499, "acc": 0.7655, "en_acc": 0.7715, "auroc": 0.8699, "en_auroc": 0.8871, "yes": 0.3808, "en_yes": 0.3507, "gold_yes": 0.499}, "atbench500": {"n": 463, "acc": 0.676, "en_acc": 0.6803, "auroc": 0.9914, "en_auroc": 0.9931, "yes": 0.1879, "en_yes": 0.1922, "gold_yes": 0.5119}, "jailbreak_classification": {"n": 394, "acc": 0.9695, "en_acc": 0.9695, "auroc": 0.9914, "en_auroc": 0.9932, "yes": 0.3249, "en_yes": 0.3198, "gold_yes": 0.3503}, "prompt_injections": {"n": 115, "acc": 0.8, "en_acc": 0.8174, "auroc": 0.9525, "en_auroc": 0.9855, "yes": 0.313, "en_yes": 0.3304, "gold_yes": 0.513}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 1966 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · overall · auroc | 0.9450 coefficient | Setup & sourceJevBench multilingual · Vietnamese · overall · auroc Mercury Decide, same named hosted route; Vietnamese; slice overall. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 1966, "acc": 0.8099, "en_acc": 0.8154, "delta": -0.0055, "ci": [-0.0209, 0.0101], "significant": false, "auroc": 0.945, "en_auroc": 0.9571, "slices": {"aegis2": {"n": 495, "acc": 0.8384, "en_acc": 0.8384, "auroc": 0.9197, "en_auroc": 0.9267, "yes": 0.4687, "en_yes": 0.4606, "gold_yes": 0.497}, "aegis2_response": {"n": 499, "acc": 0.7655, "en_acc": 0.7715, "auroc": 0.8699, "en_auroc": 0.8871, "yes": 0.3808, "en_yes": 0.3507, "gold_yes": 0.499}, "atbench500": {"n": 463, "acc": 0.676, "en_acc": 0.6803, "auroc": 0.9914, "en_auroc": 0.9931, "yes": 0.1879, "en_yes": 0.1922, "gold_yes": 0.5119}, "jailbreak_classification": {"n": 394, "acc": 0.9695, "en_acc": 0.9695, "auroc": 0.9914, "en_auroc": 0.9932, "yes": 0.3249, "en_yes": 0.3198, "gold_yes": 0.3503}, "prompt_injections": {"n": 115, "acc": 0.8, "en_acc": 0.8174, "auroc": 0.9525, "en_auroc": 0.9855, "yes": 0.313, "en_yes": 0.3304, "gold_yes": 0.513}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 1966 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · overall · en_acc | 81.54% | Setup & sourceJevBench multilingual · Vietnamese · overall · en_acc Mercury Decide, same named hosted route; Vietnamese; slice overall. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 1966, "acc": 0.8099, "en_acc": 0.8154, "delta": -0.0055, "ci": [-0.0209, 0.0101], "significant": false, "auroc": 0.945, "en_auroc": 0.9571, "slices": {"aegis2": {"n": 495, "acc": 0.8384, "en_acc": 0.8384, "auroc": 0.9197, "en_auroc": 0.9267, "yes": 0.4687, "en_yes": 0.4606, "gold_yes": 0.497}, "aegis2_response": {"n": 499, "acc": 0.7655, "en_acc": 0.7715, "auroc": 0.8699, "en_auroc": 0.8871, "yes": 0.3808, "en_yes": 0.3507, "gold_yes": 0.499}, "atbench500": {"n": 463, "acc": 0.676, "en_acc": 0.6803, "auroc": 0.9914, "en_auroc": 0.9931, "yes": 0.1879, "en_yes": 0.1922, "gold_yes": 0.5119}, "jailbreak_classification": {"n": 394, "acc": 0.9695, "en_acc": 0.9695, "auroc": 0.9914, "en_auroc": 0.9932, "yes": 0.3249, "en_yes": 0.3198, "gold_yes": 0.3503}, "prompt_injections": {"n": 115, "acc": 0.8, "en_acc": 0.8174, "auroc": 0.9525, "en_auroc": 0.9855, "yes": 0.313, "en_yes": 0.3304, "gold_yes": 0.513}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 1966 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · overall · en_auroc | 0.9571 coefficient | Setup & sourceJevBench multilingual · Vietnamese · overall · en_auroc Mercury Decide, same named hosted route; Vietnamese; slice overall. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 1966, "acc": 0.8099, "en_acc": 0.8154, "delta": -0.0055, "ci": [-0.0209, 0.0101], "significant": false, "auroc": 0.945, "en_auroc": 0.9571, "slices": {"aegis2": {"n": 495, "acc": 0.8384, "en_acc": 0.8384, "auroc": 0.9197, "en_auroc": 0.9267, "yes": 0.4687, "en_yes": 0.4606, "gold_yes": 0.497}, "aegis2_response": {"n": 499, "acc": 0.7655, "en_acc": 0.7715, "auroc": 0.8699, "en_auroc": 0.8871, "yes": 0.3808, "en_yes": 0.3507, "gold_yes": 0.499}, "atbench500": {"n": 463, "acc": 0.676, "en_acc": 0.6803, "auroc": 0.9914, "en_auroc": 0.9931, "yes": 0.1879, "en_yes": 0.1922, "gold_yes": 0.5119}, "jailbreak_classification": {"n": 394, "acc": 0.9695, "en_acc": 0.9695, "auroc": 0.9914, "en_auroc": 0.9932, "yes": 0.3249, "en_yes": 0.3198, "gold_yes": 0.3503}, "prompt_injections": {"n": 115, "acc": 0.8, "en_acc": 0.8174, "auroc": 0.9525, "en_auroc": 0.9855, "yes": 0.313, "en_yes": 0.3304, "gold_yes": 0.513}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 1966 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · overall · delta | -0.55 pp | Setup & sourceJevBench multilingual · Vietnamese · overall · delta Mercury Decide, same named hosted route; Vietnamese; slice overall. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 1966, "acc": 0.8099, "en_acc": 0.8154, "delta": -0.0055, "ci": [-0.0209, 0.0101], "significant": false, "auroc": 0.945, "en_auroc": 0.9571, "slices": {"aegis2": {"n": 495, "acc": 0.8384, "en_acc": 0.8384, "auroc": 0.9197, "en_auroc": 0.9267, "yes": 0.4687, "en_yes": 0.4606, "gold_yes": 0.497}, "aegis2_response": {"n": 499, "acc": 0.7655, "en_acc": 0.7715, "auroc": 0.8699, "en_auroc": 0.8871, "yes": 0.3808, "en_yes": 0.3507, "gold_yes": 0.499}, "atbench500": {"n": 463, "acc": 0.676, "en_acc": 0.6803, "auroc": 0.9914, "en_auroc": 0.9931, "yes": 0.1879, "en_yes": 0.1922, "gold_yes": 0.5119}, "jailbreak_classification": {"n": 394, "acc": 0.9695, "en_acc": 0.9695, "auroc": 0.9914, "en_auroc": 0.9932, "yes": 0.3249, "en_yes": 0.3198, "gold_yes": 0.3503}, "prompt_injections": {"n": 115, "acc": 0.8, "en_acc": 0.8174, "auroc": 0.9525, "en_auroc": 0.9855, "yes": 0.313, "en_yes": 0.3304, "gold_yes": 0.513}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 1966 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · aegis2 · acc | 83.84% | Setup & sourceJevBench multilingual · Vietnamese · aegis2 · acc Mercury Decide, same named hosted route; Vietnamese; slice aegis2. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 495, "acc": 0.8384, "en_acc": 0.8384, "auroc": 0.9197, "en_auroc": 0.9267, "yes": 0.4687, "en_yes": 0.4606, "gold_yes": 0.497}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 495 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · aegis2 · auroc | 0.9197 coefficient | Setup & sourceJevBench multilingual · Vietnamese · aegis2 · auroc Mercury Decide, same named hosted route; Vietnamese; slice aegis2. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 495, "acc": 0.8384, "en_acc": 0.8384, "auroc": 0.9197, "en_auroc": 0.9267, "yes": 0.4687, "en_yes": 0.4606, "gold_yes": 0.497}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 495 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · aegis2 · en_acc | 83.84% | Setup & sourceJevBench multilingual · Vietnamese · aegis2 · en_acc Mercury Decide, same named hosted route; Vietnamese; slice aegis2. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 495, "acc": 0.8384, "en_acc": 0.8384, "auroc": 0.9197, "en_auroc": 0.9267, "yes": 0.4687, "en_yes": 0.4606, "gold_yes": 0.497}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 495 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · aegis2 · en_auroc | 0.9267 coefficient | Setup & sourceJevBench multilingual · Vietnamese · aegis2 · en_auroc Mercury Decide, same named hosted route; Vietnamese; slice aegis2. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 495, "acc": 0.8384, "en_acc": 0.8384, "auroc": 0.9197, "en_auroc": 0.9267, "yes": 0.4687, "en_yes": 0.4606, "gold_yes": 0.497}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 495 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · aegis2 · yes | 46.87% | Setup & sourceJevBench multilingual · Vietnamese · aegis2 · yes Mercury Decide, same named hosted route; Vietnamese; slice aegis2. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 495, "acc": 0.8384, "en_acc": 0.8384, "auroc": 0.9197, "en_auroc": 0.9267, "yes": 0.4687, "en_yes": 0.4606, "gold_yes": 0.497}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 495 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · aegis2 · en_yes | 46.06% | Setup & sourceJevBench multilingual · Vietnamese · aegis2 · en_yes Mercury Decide, same named hosted route; Vietnamese; slice aegis2. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 495, "acc": 0.8384, "en_acc": 0.8384, "auroc": 0.9197, "en_auroc": 0.9267, "yes": 0.4687, "en_yes": 0.4606, "gold_yes": 0.497}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 495 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · aegis2_response · acc | 76.55% | Setup & sourceJevBench multilingual · Vietnamese · aegis2_response · acc Mercury Decide, same named hosted route; Vietnamese; slice aegis2_response. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 499, "acc": 0.7655, "en_acc": 0.7715, "auroc": 0.8699, "en_auroc": 0.8871, "yes": 0.3808, "en_yes": 0.3507, "gold_yes": 0.499}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · aegis2_response · auroc | 0.8699 coefficient | Setup & sourceJevBench multilingual · Vietnamese · aegis2_response · auroc Mercury Decide, same named hosted route; Vietnamese; slice aegis2_response. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 499, "acc": 0.7655, "en_acc": 0.7715, "auroc": 0.8699, "en_auroc": 0.8871, "yes": 0.3808, "en_yes": 0.3507, "gold_yes": 0.499}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · aegis2_response · en_acc | 77.15% | Setup & sourceJevBench multilingual · Vietnamese · aegis2_response · en_acc Mercury Decide, same named hosted route; Vietnamese; slice aegis2_response. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 499, "acc": 0.7655, "en_acc": 0.7715, "auroc": 0.8699, "en_auroc": 0.8871, "yes": 0.3808, "en_yes": 0.3507, "gold_yes": 0.499}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · aegis2_response · en_auroc | 0.8871 coefficient | Setup & sourceJevBench multilingual · Vietnamese · aegis2_response · en_auroc Mercury Decide, same named hosted route; Vietnamese; slice aegis2_response. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 499, "acc": 0.7655, "en_acc": 0.7715, "auroc": 0.8699, "en_auroc": 0.8871, "yes": 0.3808, "en_yes": 0.3507, "gold_yes": 0.499}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · aegis2_response · yes | 38.08% | Setup & sourceJevBench multilingual · Vietnamese · aegis2_response · yes Mercury Decide, same named hosted route; Vietnamese; slice aegis2_response. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 499, "acc": 0.7655, "en_acc": 0.7715, "auroc": 0.8699, "en_auroc": 0.8871, "yes": 0.3808, "en_yes": 0.3507, "gold_yes": 0.499}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · aegis2_response · en_yes | 35.07% | Setup & sourceJevBench multilingual · Vietnamese · aegis2_response · en_yes Mercury Decide, same named hosted route; Vietnamese; slice aegis2_response. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 499, "acc": 0.7655, "en_acc": 0.7715, "auroc": 0.8699, "en_auroc": 0.8871, "yes": 0.3808, "en_yes": 0.3507, "gold_yes": 0.499}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · atbench500 · acc | 67.60% | Setup & sourceJevBench multilingual · Vietnamese · atbench500 · acc Mercury Decide, same named hosted route; Vietnamese; slice atbench500. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 463, "acc": 0.676, "en_acc": 0.6803, "auroc": 0.9914, "en_auroc": 0.9931, "yes": 0.1879, "en_yes": 0.1922, "gold_yes": 0.5119}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 463 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · atbench500 · auroc | 0.9914 coefficient | Setup & sourceJevBench multilingual · Vietnamese · atbench500 · auroc Mercury Decide, same named hosted route; Vietnamese; slice atbench500. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 463, "acc": 0.676, "en_acc": 0.6803, "auroc": 0.9914, "en_auroc": 0.9931, "yes": 0.1879, "en_yes": 0.1922, "gold_yes": 0.5119}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 463 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · atbench500 · en_acc | 68.03% | Setup & sourceJevBench multilingual · Vietnamese · atbench500 · en_acc Mercury Decide, same named hosted route; Vietnamese; slice atbench500. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 463, "acc": 0.676, "en_acc": 0.6803, "auroc": 0.9914, "en_auroc": 0.9931, "yes": 0.1879, "en_yes": 0.1922, "gold_yes": 0.5119}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 463 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · atbench500 · en_auroc | 0.9931 coefficient | Setup & sourceJevBench multilingual · Vietnamese · atbench500 · en_auroc Mercury Decide, same named hosted route; Vietnamese; slice atbench500. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 463, "acc": 0.676, "en_acc": 0.6803, "auroc": 0.9914, "en_auroc": 0.9931, "yes": 0.1879, "en_yes": 0.1922, "gold_yes": 0.5119}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 463 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · atbench500 · yes | 18.79% | Setup & sourceJevBench multilingual · Vietnamese · atbench500 · yes Mercury Decide, same named hosted route; Vietnamese; slice atbench500. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 463, "acc": 0.676, "en_acc": 0.6803, "auroc": 0.9914, "en_auroc": 0.9931, "yes": 0.1879, "en_yes": 0.1922, "gold_yes": 0.5119}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 463 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · atbench500 · en_yes | 19.22% | Setup & sourceJevBench multilingual · Vietnamese · atbench500 · en_yes Mercury Decide, same named hosted route; Vietnamese; slice atbench500. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 463, "acc": 0.676, "en_acc": 0.6803, "auroc": 0.9914, "en_auroc": 0.9931, "yes": 0.1879, "en_yes": 0.1922, "gold_yes": 0.5119}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 463 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · jailbreak_classification · acc | 96.95% | Setup & sourceJevBench multilingual · Vietnamese · jailbreak_classification · acc Mercury Decide, same named hosted route; Vietnamese; slice jailbreak_classification. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 394, "acc": 0.9695, "en_acc": 0.9695, "auroc": 0.9914, "en_auroc": 0.9932, "yes": 0.3249, "en_yes": 0.3198, "gold_yes": 0.3503}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 394 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · jailbreak_classification · auroc | 0.9914 coefficient | Setup & sourceJevBench multilingual · Vietnamese · jailbreak_classification · auroc Mercury Decide, same named hosted route; Vietnamese; slice jailbreak_classification. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 394, "acc": 0.9695, "en_acc": 0.9695, "auroc": 0.9914, "en_auroc": 0.9932, "yes": 0.3249, "en_yes": 0.3198, "gold_yes": 0.3503}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 394 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · jailbreak_classification · en_acc | 96.95% | Setup & sourceJevBench multilingual · Vietnamese · jailbreak_classification · en_acc Mercury Decide, same named hosted route; Vietnamese; slice jailbreak_classification. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 394, "acc": 0.9695, "en_acc": 0.9695, "auroc": 0.9914, "en_auroc": 0.9932, "yes": 0.3249, "en_yes": 0.3198, "gold_yes": 0.3503}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 394 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · jailbreak_classification · en_auroc | 0.9932 coefficient | Setup & sourceJevBench multilingual · Vietnamese · jailbreak_classification · en_auroc Mercury Decide, same named hosted route; Vietnamese; slice jailbreak_classification. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 394, "acc": 0.9695, "en_acc": 0.9695, "auroc": 0.9914, "en_auroc": 0.9932, "yes": 0.3249, "en_yes": 0.3198, "gold_yes": 0.3503}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 394 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · jailbreak_classification · yes | 32.49% | Setup & sourceJevBench multilingual · Vietnamese · jailbreak_classification · yes Mercury Decide, same named hosted route; Vietnamese; slice jailbreak_classification. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 394, "acc": 0.9695, "en_acc": 0.9695, "auroc": 0.9914, "en_auroc": 0.9932, "yes": 0.3249, "en_yes": 0.3198, "gold_yes": 0.3503}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 394 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · jailbreak_classification · en_yes | 31.98% | Setup & sourceJevBench multilingual · Vietnamese · jailbreak_classification · en_yes Mercury Decide, same named hosted route; Vietnamese; slice jailbreak_classification. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 394, "acc": 0.9695, "en_acc": 0.9695, "auroc": 0.9914, "en_auroc": 0.9932, "yes": 0.3249, "en_yes": 0.3198, "gold_yes": 0.3503}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 394 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · prompt_injections · acc | 80.00% | Setup & sourceJevBench multilingual · Vietnamese · prompt_injections · acc Mercury Decide, same named hosted route; Vietnamese; slice prompt_injections. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 115, "acc": 0.8, "en_acc": 0.8174, "auroc": 0.9525, "en_auroc": 0.9855, "yes": 0.313, "en_yes": 0.3304, "gold_yes": 0.513}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 115 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · prompt_injections · auroc | 0.9525 coefficient | Setup & sourceJevBench multilingual · Vietnamese · prompt_injections · auroc Mercury Decide, same named hosted route; Vietnamese; slice prompt_injections. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 115, "acc": 0.8, "en_acc": 0.8174, "auroc": 0.9525, "en_auroc": 0.9855, "yes": 0.313, "en_yes": 0.3304, "gold_yes": 0.513}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 115 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · prompt_injections · en_acc | 81.74% | Setup & sourceJevBench multilingual · Vietnamese · prompt_injections · en_acc Mercury Decide, same named hosted route; Vietnamese; slice prompt_injections. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 115, "acc": 0.8, "en_acc": 0.8174, "auroc": 0.9525, "en_auroc": 0.9855, "yes": 0.313, "en_yes": 0.3304, "gold_yes": 0.513}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 115 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · prompt_injections · en_auroc | 0.9855 coefficient | Setup & sourceJevBench multilingual · Vietnamese · prompt_injections · en_auroc Mercury Decide, same named hosted route; Vietnamese; slice prompt_injections. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 115, "acc": 0.8, "en_acc": 0.8174, "auroc": 0.9525, "en_auroc": 0.9855, "yes": 0.313, "en_yes": 0.3304, "gold_yes": 0.513}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 115 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · prompt_injections · yes | 31.30% | Setup & sourceJevBench multilingual · Vietnamese · prompt_injections · yes Mercury Decide, same named hosted route; Vietnamese; slice prompt_injections. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 115, "acc": 0.8, "en_acc": 0.8174, "auroc": 0.9525, "en_auroc": 0.9855, "yes": 0.313, "en_yes": 0.3304, "gold_yes": 0.513}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 115 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Vietnamese · prompt_injections · en_yes | 33.04% | Setup & sourceJevBench multilingual · Vietnamese · prompt_injections · en_yes Mercury Decide, same named hosted route; Vietnamese; slice prompt_injections. {"answered": 1966, "cases": 1968, "complete": true} Full source observations: {"n": 115, "acc": 0.8, "en_acc": 0.8174, "auroc": 0.9525, "en_auroc": 0.9855, "yes": 0.313, "en_yes": 0.3304, "gold_yes": 0.513}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 115 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · overall · acc | 76.69% | Setup & sourceJevBench multilingual · Swahili · overall · acc Mercury Decide, same named hosted route; Swahili; slice overall. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 1997, "acc": 0.7669, "en_acc": 0.8146, "delta": -0.0477, "ci": [-0.0659, -0.0304], "significant": true, "auroc": 0.9233, "en_auroc": 0.9572, "slices": {"aegis2": {"n": 500, "acc": 0.744, "en_acc": 0.84, "auroc": 0.83, "en_auroc": 0.9279, "yes": 0.372, "en_yes": 0.464, "gold_yes": 0.5}, "aegis2_response": {"n": 499, "acc": 0.7375, "en_acc": 0.7715, "auroc": 0.8433, "en_auroc": 0.8874, "yes": 0.3768, "en_yes": 0.3507, "gold_yes": 0.499}, "atbench500": {"n": 484, "acc": 0.6777, "en_acc": 0.6839, "auroc": 0.986, "en_auroc": 0.9928, "yes": 0.1798, "en_yes": 0.186, "gold_yes": 0.5021}, "jailbreak_classification": {"n": 398, "acc": 0.9598, "en_acc": 0.9673, "auroc": 0.98, "en_auroc": 0.9929, "yes": 0.3141, "en_yes": 0.3166, "gold_yes": 0.3492}, "prompt_injections": {"n": 116, "acc": 0.7155, "en_acc": 0.8103, "auroc": 0.9774, "en_auroc": 0.9851, "yes": 0.2328, "en_yes": 0.3276, "gold_yes": 0.5172}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 1997 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · overall · auroc | 0.9233 coefficient | Setup & sourceJevBench multilingual · Swahili · overall · auroc Mercury Decide, same named hosted route; Swahili; slice overall. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 1997, "acc": 0.7669, "en_acc": 0.8146, "delta": -0.0477, "ci": [-0.0659, -0.0304], "significant": true, "auroc": 0.9233, "en_auroc": 0.9572, "slices": {"aegis2": {"n": 500, "acc": 0.744, "en_acc": 0.84, "auroc": 0.83, "en_auroc": 0.9279, "yes": 0.372, "en_yes": 0.464, "gold_yes": 0.5}, "aegis2_response": {"n": 499, "acc": 0.7375, "en_acc": 0.7715, "auroc": 0.8433, "en_auroc": 0.8874, "yes": 0.3768, "en_yes": 0.3507, "gold_yes": 0.499}, "atbench500": {"n": 484, "acc": 0.6777, "en_acc": 0.6839, "auroc": 0.986, "en_auroc": 0.9928, "yes": 0.1798, "en_yes": 0.186, "gold_yes": 0.5021}, "jailbreak_classification": {"n": 398, "acc": 0.9598, "en_acc": 0.9673, "auroc": 0.98, "en_auroc": 0.9929, "yes": 0.3141, "en_yes": 0.3166, "gold_yes": 0.3492}, "prompt_injections": {"n": 116, "acc": 0.7155, "en_acc": 0.8103, "auroc": 0.9774, "en_auroc": 0.9851, "yes": 0.2328, "en_yes": 0.3276, "gold_yes": 0.5172}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 1997 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · overall · en_acc | 81.46% | Setup & sourceJevBench multilingual · Swahili · overall · en_acc Mercury Decide, same named hosted route; Swahili; slice overall. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 1997, "acc": 0.7669, "en_acc": 0.8146, "delta": -0.0477, "ci": [-0.0659, -0.0304], "significant": true, "auroc": 0.9233, "en_auroc": 0.9572, "slices": {"aegis2": {"n": 500, "acc": 0.744, "en_acc": 0.84, "auroc": 0.83, "en_auroc": 0.9279, "yes": 0.372, "en_yes": 0.464, "gold_yes": 0.5}, "aegis2_response": {"n": 499, "acc": 0.7375, "en_acc": 0.7715, "auroc": 0.8433, "en_auroc": 0.8874, "yes": 0.3768, "en_yes": 0.3507, "gold_yes": 0.499}, "atbench500": {"n": 484, "acc": 0.6777, "en_acc": 0.6839, "auroc": 0.986, "en_auroc": 0.9928, "yes": 0.1798, "en_yes": 0.186, "gold_yes": 0.5021}, "jailbreak_classification": {"n": 398, "acc": 0.9598, "en_acc": 0.9673, "auroc": 0.98, "en_auroc": 0.9929, "yes": 0.3141, "en_yes": 0.3166, "gold_yes": 0.3492}, "prompt_injections": {"n": 116, "acc": 0.7155, "en_acc": 0.8103, "auroc": 0.9774, "en_auroc": 0.9851, "yes": 0.2328, "en_yes": 0.3276, "gold_yes": 0.5172}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 1997 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · overall · en_auroc | 0.9572 coefficient | Setup & sourceJevBench multilingual · Swahili · overall · en_auroc Mercury Decide, same named hosted route; Swahili; slice overall. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 1997, "acc": 0.7669, "en_acc": 0.8146, "delta": -0.0477, "ci": [-0.0659, -0.0304], "significant": true, "auroc": 0.9233, "en_auroc": 0.9572, "slices": {"aegis2": {"n": 500, "acc": 0.744, "en_acc": 0.84, "auroc": 0.83, "en_auroc": 0.9279, "yes": 0.372, "en_yes": 0.464, "gold_yes": 0.5}, "aegis2_response": {"n": 499, "acc": 0.7375, "en_acc": 0.7715, "auroc": 0.8433, "en_auroc": 0.8874, "yes": 0.3768, "en_yes": 0.3507, "gold_yes": 0.499}, "atbench500": {"n": 484, "acc": 0.6777, "en_acc": 0.6839, "auroc": 0.986, "en_auroc": 0.9928, "yes": 0.1798, "en_yes": 0.186, "gold_yes": 0.5021}, "jailbreak_classification": {"n": 398, "acc": 0.9598, "en_acc": 0.9673, "auroc": 0.98, "en_auroc": 0.9929, "yes": 0.3141, "en_yes": 0.3166, "gold_yes": 0.3492}, "prompt_injections": {"n": 116, "acc": 0.7155, "en_acc": 0.8103, "auroc": 0.9774, "en_auroc": 0.9851, "yes": 0.2328, "en_yes": 0.3276, "gold_yes": 0.5172}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 1997 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · overall · delta | -4.77 pp | Setup & sourceJevBench multilingual · Swahili · overall · delta Mercury Decide, same named hosted route; Swahili; slice overall. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 1997, "acc": 0.7669, "en_acc": 0.8146, "delta": -0.0477, "ci": [-0.0659, -0.0304], "significant": true, "auroc": 0.9233, "en_auroc": 0.9572, "slices": {"aegis2": {"n": 500, "acc": 0.744, "en_acc": 0.84, "auroc": 0.83, "en_auroc": 0.9279, "yes": 0.372, "en_yes": 0.464, "gold_yes": 0.5}, "aegis2_response": {"n": 499, "acc": 0.7375, "en_acc": 0.7715, "auroc": 0.8433, "en_auroc": 0.8874, "yes": 0.3768, "en_yes": 0.3507, "gold_yes": 0.499}, "atbench500": {"n": 484, "acc": 0.6777, "en_acc": 0.6839, "auroc": 0.986, "en_auroc": 0.9928, "yes": 0.1798, "en_yes": 0.186, "gold_yes": 0.5021}, "jailbreak_classification": {"n": 398, "acc": 0.9598, "en_acc": 0.9673, "auroc": 0.98, "en_auroc": 0.9929, "yes": 0.3141, "en_yes": 0.3166, "gold_yes": 0.3492}, "prompt_injections": {"n": 116, "acc": 0.7155, "en_acc": 0.8103, "auroc": 0.9774, "en_auroc": 0.9851, "yes": 0.2328, "en_yes": 0.3276, "gold_yes": 0.5172}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 1997 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · aegis2 · acc | 74.40% | Setup & sourceJevBench multilingual · Swahili · aegis2 · acc Mercury Decide, same named hosted route; Swahili; slice aegis2. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 500, "acc": 0.744, "en_acc": 0.84, "auroc": 0.83, "en_auroc": 0.9279, "yes": 0.372, "en_yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · aegis2 · auroc | 0.8300 coefficient | Setup & sourceJevBench multilingual · Swahili · aegis2 · auroc Mercury Decide, same named hosted route; Swahili; slice aegis2. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 500, "acc": 0.744, "en_acc": 0.84, "auroc": 0.83, "en_auroc": 0.9279, "yes": 0.372, "en_yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · aegis2 · en_acc | 84.00% | Setup & sourceJevBench multilingual · Swahili · aegis2 · en_acc Mercury Decide, same named hosted route; Swahili; slice aegis2. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 500, "acc": 0.744, "en_acc": 0.84, "auroc": 0.83, "en_auroc": 0.9279, "yes": 0.372, "en_yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · aegis2 · en_auroc | 0.9279 coefficient | Setup & sourceJevBench multilingual · Swahili · aegis2 · en_auroc Mercury Decide, same named hosted route; Swahili; slice aegis2. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 500, "acc": 0.744, "en_acc": 0.84, "auroc": 0.83, "en_auroc": 0.9279, "yes": 0.372, "en_yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · aegis2 · yes | 37.20% | Setup & sourceJevBench multilingual · Swahili · aegis2 · yes Mercury Decide, same named hosted route; Swahili; slice aegis2. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 500, "acc": 0.744, "en_acc": 0.84, "auroc": 0.83, "en_auroc": 0.9279, "yes": 0.372, "en_yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · aegis2 · en_yes | 46.40% | Setup & sourceJevBench multilingual · Swahili · aegis2 · en_yes Mercury Decide, same named hosted route; Swahili; slice aegis2. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 500, "acc": 0.744, "en_acc": 0.84, "auroc": 0.83, "en_auroc": 0.9279, "yes": 0.372, "en_yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · aegis2_response · acc | 73.75% | Setup & sourceJevBench multilingual · Swahili · aegis2_response · acc Mercury Decide, same named hosted route; Swahili; slice aegis2_response. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 499, "acc": 0.7375, "en_acc": 0.7715, "auroc": 0.8433, "en_auroc": 0.8874, "yes": 0.3768, "en_yes": 0.3507, "gold_yes": 0.499}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · aegis2_response · auroc | 0.8433 coefficient | Setup & sourceJevBench multilingual · Swahili · aegis2_response · auroc Mercury Decide, same named hosted route; Swahili; slice aegis2_response. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 499, "acc": 0.7375, "en_acc": 0.7715, "auroc": 0.8433, "en_auroc": 0.8874, "yes": 0.3768, "en_yes": 0.3507, "gold_yes": 0.499}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · aegis2_response · en_acc | 77.15% | Setup & sourceJevBench multilingual · Swahili · aegis2_response · en_acc Mercury Decide, same named hosted route; Swahili; slice aegis2_response. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 499, "acc": 0.7375, "en_acc": 0.7715, "auroc": 0.8433, "en_auroc": 0.8874, "yes": 0.3768, "en_yes": 0.3507, "gold_yes": 0.499}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · aegis2_response · en_auroc | 0.8874 coefficient | Setup & sourceJevBench multilingual · Swahili · aegis2_response · en_auroc Mercury Decide, same named hosted route; Swahili; slice aegis2_response. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 499, "acc": 0.7375, "en_acc": 0.7715, "auroc": 0.8433, "en_auroc": 0.8874, "yes": 0.3768, "en_yes": 0.3507, "gold_yes": 0.499}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · aegis2_response · yes | 37.68% | Setup & sourceJevBench multilingual · Swahili · aegis2_response · yes Mercury Decide, same named hosted route; Swahili; slice aegis2_response. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 499, "acc": 0.7375, "en_acc": 0.7715, "auroc": 0.8433, "en_auroc": 0.8874, "yes": 0.3768, "en_yes": 0.3507, "gold_yes": 0.499}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · aegis2_response · en_yes | 35.07% | Setup & sourceJevBench multilingual · Swahili · aegis2_response · en_yes Mercury Decide, same named hosted route; Swahili; slice aegis2_response. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 499, "acc": 0.7375, "en_acc": 0.7715, "auroc": 0.8433, "en_auroc": 0.8874, "yes": 0.3768, "en_yes": 0.3507, "gold_yes": 0.499}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · atbench500 · acc | 67.77% | Setup & sourceJevBench multilingual · Swahili · atbench500 · acc Mercury Decide, same named hosted route; Swahili; slice atbench500. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 484, "acc": 0.6777, "en_acc": 0.6839, "auroc": 0.986, "en_auroc": 0.9928, "yes": 0.1798, "en_yes": 0.186, "gold_yes": 0.5021}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 484 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · atbench500 · auroc | 0.9860 coefficient | Setup & sourceJevBench multilingual · Swahili · atbench500 · auroc Mercury Decide, same named hosted route; Swahili; slice atbench500. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 484, "acc": 0.6777, "en_acc": 0.6839, "auroc": 0.986, "en_auroc": 0.9928, "yes": 0.1798, "en_yes": 0.186, "gold_yes": 0.5021}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 484 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · atbench500 · en_acc | 68.39% | Setup & sourceJevBench multilingual · Swahili · atbench500 · en_acc Mercury Decide, same named hosted route; Swahili; slice atbench500. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 484, "acc": 0.6777, "en_acc": 0.6839, "auroc": 0.986, "en_auroc": 0.9928, "yes": 0.1798, "en_yes": 0.186, "gold_yes": 0.5021}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 484 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · atbench500 · en_auroc | 0.9928 coefficient | Setup & sourceJevBench multilingual · Swahili · atbench500 · en_auroc Mercury Decide, same named hosted route; Swahili; slice atbench500. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 484, "acc": 0.6777, "en_acc": 0.6839, "auroc": 0.986, "en_auroc": 0.9928, "yes": 0.1798, "en_yes": 0.186, "gold_yes": 0.5021}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 484 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · atbench500 · yes | 17.98% | Setup & sourceJevBench multilingual · Swahili · atbench500 · yes Mercury Decide, same named hosted route; Swahili; slice atbench500. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 484, "acc": 0.6777, "en_acc": 0.6839, "auroc": 0.986, "en_auroc": 0.9928, "yes": 0.1798, "en_yes": 0.186, "gold_yes": 0.5021}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 484 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · atbench500 · en_yes | 18.60% | Setup & sourceJevBench multilingual · Swahili · atbench500 · en_yes Mercury Decide, same named hosted route; Swahili; slice atbench500. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 484, "acc": 0.6777, "en_acc": 0.6839, "auroc": 0.986, "en_auroc": 0.9928, "yes": 0.1798, "en_yes": 0.186, "gold_yes": 0.5021}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 484 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · jailbreak_classification · acc | 95.98% | Setup & sourceJevBench multilingual · Swahili · jailbreak_classification · acc Mercury Decide, same named hosted route; Swahili; slice jailbreak_classification. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 398, "acc": 0.9598, "en_acc": 0.9673, "auroc": 0.98, "en_auroc": 0.9929, "yes": 0.3141, "en_yes": 0.3166, "gold_yes": 0.3492}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 398 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · jailbreak_classification · auroc | 0.9800 coefficient | Setup & sourceJevBench multilingual · Swahili · jailbreak_classification · auroc Mercury Decide, same named hosted route; Swahili; slice jailbreak_classification. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 398, "acc": 0.9598, "en_acc": 0.9673, "auroc": 0.98, "en_auroc": 0.9929, "yes": 0.3141, "en_yes": 0.3166, "gold_yes": 0.3492}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 398 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · jailbreak_classification · en_acc | 96.73% | Setup & sourceJevBench multilingual · Swahili · jailbreak_classification · en_acc Mercury Decide, same named hosted route; Swahili; slice jailbreak_classification. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 398, "acc": 0.9598, "en_acc": 0.9673, "auroc": 0.98, "en_auroc": 0.9929, "yes": 0.3141, "en_yes": 0.3166, "gold_yes": 0.3492}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 398 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · jailbreak_classification · en_auroc | 0.9929 coefficient | Setup & sourceJevBench multilingual · Swahili · jailbreak_classification · en_auroc Mercury Decide, same named hosted route; Swahili; slice jailbreak_classification. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 398, "acc": 0.9598, "en_acc": 0.9673, "auroc": 0.98, "en_auroc": 0.9929, "yes": 0.3141, "en_yes": 0.3166, "gold_yes": 0.3492}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 398 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · jailbreak_classification · yes | 31.41% | Setup & sourceJevBench multilingual · Swahili · jailbreak_classification · yes Mercury Decide, same named hosted route; Swahili; slice jailbreak_classification. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 398, "acc": 0.9598, "en_acc": 0.9673, "auroc": 0.98, "en_auroc": 0.9929, "yes": 0.3141, "en_yes": 0.3166, "gold_yes": 0.3492}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 398 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · jailbreak_classification · en_yes | 31.66% | Setup & sourceJevBench multilingual · Swahili · jailbreak_classification · en_yes Mercury Decide, same named hosted route; Swahili; slice jailbreak_classification. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 398, "acc": 0.9598, "en_acc": 0.9673, "auroc": 0.98, "en_auroc": 0.9929, "yes": 0.3141, "en_yes": 0.3166, "gold_yes": 0.3492}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 398 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · prompt_injections · acc | 71.55% | Setup & sourceJevBench multilingual · Swahili · prompt_injections · acc Mercury Decide, same named hosted route; Swahili; slice prompt_injections. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 116, "acc": 0.7155, "en_acc": 0.8103, "auroc": 0.9774, "en_auroc": 0.9851, "yes": 0.2328, "en_yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · prompt_injections · auroc | 0.9774 coefficient | Setup & sourceJevBench multilingual · Swahili · prompt_injections · auroc Mercury Decide, same named hosted route; Swahili; slice prompt_injections. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 116, "acc": 0.7155, "en_acc": 0.8103, "auroc": 0.9774, "en_auroc": 0.9851, "yes": 0.2328, "en_yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · prompt_injections · en_acc | 81.03% | Setup & sourceJevBench multilingual · Swahili · prompt_injections · en_acc Mercury Decide, same named hosted route; Swahili; slice prompt_injections. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 116, "acc": 0.7155, "en_acc": 0.8103, "auroc": 0.9774, "en_auroc": 0.9851, "yes": 0.2328, "en_yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · prompt_injections · en_auroc | 0.9851 coefficient | Setup & sourceJevBench multilingual · Swahili · prompt_injections · en_auroc Mercury Decide, same named hosted route; Swahili; slice prompt_injections. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 116, "acc": 0.7155, "en_acc": 0.8103, "auroc": 0.9774, "en_auroc": 0.9851, "yes": 0.2328, "en_yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · prompt_injections · yes | 23.28% | Setup & sourceJevBench multilingual · Swahili · prompt_injections · yes Mercury Decide, same named hosted route; Swahili; slice prompt_injections. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 116, "acc": 0.7155, "en_acc": 0.8103, "auroc": 0.9774, "en_auroc": 0.9851, "yes": 0.2328, "en_yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Swahili · prompt_injections · en_yes | 32.76% | Setup & sourceJevBench multilingual · Swahili · prompt_injections · en_yes Mercury Decide, same named hosted route; Swahili; slice prompt_injections. {"answered": 1997, "cases": 1997, "complete": true} Full source observations: {"n": 116, "acc": 0.7155, "en_acc": 0.8103, "auroc": 0.9774, "en_auroc": 0.9851, "yes": 0.2328, "en_yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · overall · acc | 80.52% | Setup & sourceJevBench multilingual · Spanish · overall · acc Mercury Decide, same named hosted route; Spanish; slice overall. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 1959, "acc": 0.8052, "en_acc": 0.8184, "delta": -0.0132, "ci": [-0.0264, 0.0006], "significant": false, "auroc": 0.941, "en_auroc": 0.9571, "slices": {"aegis2": {"n": 499, "acc": 0.8257, "en_acc": 0.8397, "auroc": 0.9136, "en_auroc": 0.9276, "yes": 0.483, "en_yes": 0.4649, "gold_yes": 0.501}, "aegis2_response": {"n": 500, "acc": 0.738, "en_acc": 0.772, "auroc": 0.8557, "en_auroc": 0.8876, "yes": 0.374, "en_yes": 0.352, "gold_yes": 0.5}, "atbench500": {"n": 451, "acc": 0.6984, "en_acc": 0.6962, "auroc": 0.9867, "en_auroc": 0.9925, "yes": 0.1707, "en_yes": 0.1685, "gold_yes": 0.4723}, "jailbreak_classification": {"n": 396, "acc": 0.9495, "en_acc": 0.9697, "auroc": 0.9874, "en_auroc": 0.9933, "yes": 0.3182, "en_yes": 0.3182, "gold_yes": 0.3485}, "prompt_injections": {"n": 113, "acc": 0.8142, "en_acc": 0.8142, "auroc": 0.9615, "en_auroc": 0.9843, "yes": 0.3186, "en_yes": 0.3186, "gold_yes": 0.5044}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 1959 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · overall · auroc | 0.9410 coefficient | Setup & sourceJevBench multilingual · Spanish · overall · auroc Mercury Decide, same named hosted route; Spanish; slice overall. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 1959, "acc": 0.8052, "en_acc": 0.8184, "delta": -0.0132, "ci": [-0.0264, 0.0006], "significant": false, "auroc": 0.941, "en_auroc": 0.9571, "slices": {"aegis2": {"n": 499, "acc": 0.8257, "en_acc": 0.8397, "auroc": 0.9136, "en_auroc": 0.9276, "yes": 0.483, "en_yes": 0.4649, "gold_yes": 0.501}, "aegis2_response": {"n": 500, "acc": 0.738, "en_acc": 0.772, "auroc": 0.8557, "en_auroc": 0.8876, "yes": 0.374, "en_yes": 0.352, "gold_yes": 0.5}, "atbench500": {"n": 451, "acc": 0.6984, "en_acc": 0.6962, "auroc": 0.9867, "en_auroc": 0.9925, "yes": 0.1707, "en_yes": 0.1685, "gold_yes": 0.4723}, "jailbreak_classification": {"n": 396, "acc": 0.9495, "en_acc": 0.9697, "auroc": 0.9874, "en_auroc": 0.9933, "yes": 0.3182, "en_yes": 0.3182, "gold_yes": 0.3485}, "prompt_injections": {"n": 113, "acc": 0.8142, "en_acc": 0.8142, "auroc": 0.9615, "en_auroc": 0.9843, "yes": 0.3186, "en_yes": 0.3186, "gold_yes": 0.5044}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 1959 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · overall · en_acc | 81.84% | Setup & sourceJevBench multilingual · Spanish · overall · en_acc Mercury Decide, same named hosted route; Spanish; slice overall. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 1959, "acc": 0.8052, "en_acc": 0.8184, "delta": -0.0132, "ci": [-0.0264, 0.0006], "significant": false, "auroc": 0.941, "en_auroc": 0.9571, "slices": {"aegis2": {"n": 499, "acc": 0.8257, "en_acc": 0.8397, "auroc": 0.9136, "en_auroc": 0.9276, "yes": 0.483, "en_yes": 0.4649, "gold_yes": 0.501}, "aegis2_response": {"n": 500, "acc": 0.738, "en_acc": 0.772, "auroc": 0.8557, "en_auroc": 0.8876, "yes": 0.374, "en_yes": 0.352, "gold_yes": 0.5}, "atbench500": {"n": 451, "acc": 0.6984, "en_acc": 0.6962, "auroc": 0.9867, "en_auroc": 0.9925, "yes": 0.1707, "en_yes": 0.1685, "gold_yes": 0.4723}, "jailbreak_classification": {"n": 396, "acc": 0.9495, "en_acc": 0.9697, "auroc": 0.9874, "en_auroc": 0.9933, "yes": 0.3182, "en_yes": 0.3182, "gold_yes": 0.3485}, "prompt_injections": {"n": 113, "acc": 0.8142, "en_acc": 0.8142, "auroc": 0.9615, "en_auroc": 0.9843, "yes": 0.3186, "en_yes": 0.3186, "gold_yes": 0.5044}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 1959 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · overall · en_auroc | 0.9571 coefficient | Setup & sourceJevBench multilingual · Spanish · overall · en_auroc Mercury Decide, same named hosted route; Spanish; slice overall. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 1959, "acc": 0.8052, "en_acc": 0.8184, "delta": -0.0132, "ci": [-0.0264, 0.0006], "significant": false, "auroc": 0.941, "en_auroc": 0.9571, "slices": {"aegis2": {"n": 499, "acc": 0.8257, "en_acc": 0.8397, "auroc": 0.9136, "en_auroc": 0.9276, "yes": 0.483, "en_yes": 0.4649, "gold_yes": 0.501}, "aegis2_response": {"n": 500, "acc": 0.738, "en_acc": 0.772, "auroc": 0.8557, "en_auroc": 0.8876, "yes": 0.374, "en_yes": 0.352, "gold_yes": 0.5}, "atbench500": {"n": 451, "acc": 0.6984, "en_acc": 0.6962, "auroc": 0.9867, "en_auroc": 0.9925, "yes": 0.1707, "en_yes": 0.1685, "gold_yes": 0.4723}, "jailbreak_classification": {"n": 396, "acc": 0.9495, "en_acc": 0.9697, "auroc": 0.9874, "en_auroc": 0.9933, "yes": 0.3182, "en_yes": 0.3182, "gold_yes": 0.3485}, "prompt_injections": {"n": 113, "acc": 0.8142, "en_acc": 0.8142, "auroc": 0.9615, "en_auroc": 0.9843, "yes": 0.3186, "en_yes": 0.3186, "gold_yes": 0.5044}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 1959 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · overall · delta | -1.32 pp | Setup & sourceJevBench multilingual · Spanish · overall · delta Mercury Decide, same named hosted route; Spanish; slice overall. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 1959, "acc": 0.8052, "en_acc": 0.8184, "delta": -0.0132, "ci": [-0.0264, 0.0006], "significant": false, "auroc": 0.941, "en_auroc": 0.9571, "slices": {"aegis2": {"n": 499, "acc": 0.8257, "en_acc": 0.8397, "auroc": 0.9136, "en_auroc": 0.9276, "yes": 0.483, "en_yes": 0.4649, "gold_yes": 0.501}, "aegis2_response": {"n": 500, "acc": 0.738, "en_acc": 0.772, "auroc": 0.8557, "en_auroc": 0.8876, "yes": 0.374, "en_yes": 0.352, "gold_yes": 0.5}, "atbench500": {"n": 451, "acc": 0.6984, "en_acc": 0.6962, "auroc": 0.9867, "en_auroc": 0.9925, "yes": 0.1707, "en_yes": 0.1685, "gold_yes": 0.4723}, "jailbreak_classification": {"n": 396, "acc": 0.9495, "en_acc": 0.9697, "auroc": 0.9874, "en_auroc": 0.9933, "yes": 0.3182, "en_yes": 0.3182, "gold_yes": 0.3485}, "prompt_injections": {"n": 113, "acc": 0.8142, "en_acc": 0.8142, "auroc": 0.9615, "en_auroc": 0.9843, "yes": 0.3186, "en_yes": 0.3186, "gold_yes": 0.5044}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 1959 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · aegis2 · acc | 82.57% | Setup & sourceJevBench multilingual · Spanish · aegis2 · acc Mercury Decide, same named hosted route; Spanish; slice aegis2. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 499, "acc": 0.8257, "en_acc": 0.8397, "auroc": 0.9136, "en_auroc": 0.9276, "yes": 0.483, "en_yes": 0.4649, "gold_yes": 0.501}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · aegis2 · auroc | 0.9136 coefficient | Setup & sourceJevBench multilingual · Spanish · aegis2 · auroc Mercury Decide, same named hosted route; Spanish; slice aegis2. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 499, "acc": 0.8257, "en_acc": 0.8397, "auroc": 0.9136, "en_auroc": 0.9276, "yes": 0.483, "en_yes": 0.4649, "gold_yes": 0.501}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · aegis2 · en_acc | 83.97% | Setup & sourceJevBench multilingual · Spanish · aegis2 · en_acc Mercury Decide, same named hosted route; Spanish; slice aegis2. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 499, "acc": 0.8257, "en_acc": 0.8397, "auroc": 0.9136, "en_auroc": 0.9276, "yes": 0.483, "en_yes": 0.4649, "gold_yes": 0.501}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · aegis2 · en_auroc | 0.9276 coefficient | Setup & sourceJevBench multilingual · Spanish · aegis2 · en_auroc Mercury Decide, same named hosted route; Spanish; slice aegis2. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 499, "acc": 0.8257, "en_acc": 0.8397, "auroc": 0.9136, "en_auroc": 0.9276, "yes": 0.483, "en_yes": 0.4649, "gold_yes": 0.501}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · aegis2 · yes | 48.30% | Setup & sourceJevBench multilingual · Spanish · aegis2 · yes Mercury Decide, same named hosted route; Spanish; slice aegis2. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 499, "acc": 0.8257, "en_acc": 0.8397, "auroc": 0.9136, "en_auroc": 0.9276, "yes": 0.483, "en_yes": 0.4649, "gold_yes": 0.501}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · aegis2 · en_yes | 46.49% | Setup & sourceJevBench multilingual · Spanish · aegis2 · en_yes Mercury Decide, same named hosted route; Spanish; slice aegis2. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 499, "acc": 0.8257, "en_acc": 0.8397, "auroc": 0.9136, "en_auroc": 0.9276, "yes": 0.483, "en_yes": 0.4649, "gold_yes": 0.501}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 499 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · aegis2_response · acc | 73.80% | Setup & sourceJevBench multilingual · Spanish · aegis2_response · acc Mercury Decide, same named hosted route; Spanish; slice aegis2_response. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 500, "acc": 0.738, "en_acc": 0.772, "auroc": 0.8557, "en_auroc": 0.8876, "yes": 0.374, "en_yes": 0.352, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · aegis2_response · auroc | 0.8557 coefficient | Setup & sourceJevBench multilingual · Spanish · aegis2_response · auroc Mercury Decide, same named hosted route; Spanish; slice aegis2_response. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 500, "acc": 0.738, "en_acc": 0.772, "auroc": 0.8557, "en_auroc": 0.8876, "yes": 0.374, "en_yes": 0.352, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · aegis2_response · en_acc | 77.20% | Setup & sourceJevBench multilingual · Spanish · aegis2_response · en_acc Mercury Decide, same named hosted route; Spanish; slice aegis2_response. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 500, "acc": 0.738, "en_acc": 0.772, "auroc": 0.8557, "en_auroc": 0.8876, "yes": 0.374, "en_yes": 0.352, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · aegis2_response · en_auroc | 0.8876 coefficient | Setup & sourceJevBench multilingual · Spanish · aegis2_response · en_auroc Mercury Decide, same named hosted route; Spanish; slice aegis2_response. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 500, "acc": 0.738, "en_acc": 0.772, "auroc": 0.8557, "en_auroc": 0.8876, "yes": 0.374, "en_yes": 0.352, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · aegis2_response · yes | 37.40% | Setup & sourceJevBench multilingual · Spanish · aegis2_response · yes Mercury Decide, same named hosted route; Spanish; slice aegis2_response. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 500, "acc": 0.738, "en_acc": 0.772, "auroc": 0.8557, "en_auroc": 0.8876, "yes": 0.374, "en_yes": 0.352, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · aegis2_response · en_yes | 35.20% | Setup & sourceJevBench multilingual · Spanish · aegis2_response · en_yes Mercury Decide, same named hosted route; Spanish; slice aegis2_response. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 500, "acc": 0.738, "en_acc": 0.772, "auroc": 0.8557, "en_auroc": 0.8876, "yes": 0.374, "en_yes": 0.352, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · atbench500 · acc | 69.84% | Setup & sourceJevBench multilingual · Spanish · atbench500 · acc Mercury Decide, same named hosted route; Spanish; slice atbench500. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 451, "acc": 0.6984, "en_acc": 0.6962, "auroc": 0.9867, "en_auroc": 0.9925, "yes": 0.1707, "en_yes": 0.1685, "gold_yes": 0.4723}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 451 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · atbench500 · auroc | 0.9867 coefficient | Setup & sourceJevBench multilingual · Spanish · atbench500 · auroc Mercury Decide, same named hosted route; Spanish; slice atbench500. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 451, "acc": 0.6984, "en_acc": 0.6962, "auroc": 0.9867, "en_auroc": 0.9925, "yes": 0.1707, "en_yes": 0.1685, "gold_yes": 0.4723}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 451 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · atbench500 · en_acc | 69.62% | Setup & sourceJevBench multilingual · Spanish · atbench500 · en_acc Mercury Decide, same named hosted route; Spanish; slice atbench500. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 451, "acc": 0.6984, "en_acc": 0.6962, "auroc": 0.9867, "en_auroc": 0.9925, "yes": 0.1707, "en_yes": 0.1685, "gold_yes": 0.4723}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 451 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · atbench500 · en_auroc | 0.9925 coefficient | Setup & sourceJevBench multilingual · Spanish · atbench500 · en_auroc Mercury Decide, same named hosted route; Spanish; slice atbench500. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 451, "acc": 0.6984, "en_acc": 0.6962, "auroc": 0.9867, "en_auroc": 0.9925, "yes": 0.1707, "en_yes": 0.1685, "gold_yes": 0.4723}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 451 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · atbench500 · yes | 17.07% | Setup & sourceJevBench multilingual · Spanish · atbench500 · yes Mercury Decide, same named hosted route; Spanish; slice atbench500. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 451, "acc": 0.6984, "en_acc": 0.6962, "auroc": 0.9867, "en_auroc": 0.9925, "yes": 0.1707, "en_yes": 0.1685, "gold_yes": 0.4723}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 451 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · atbench500 · en_yes | 16.85% | Setup & sourceJevBench multilingual · Spanish · atbench500 · en_yes Mercury Decide, same named hosted route; Spanish; slice atbench500. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 451, "acc": 0.6984, "en_acc": 0.6962, "auroc": 0.9867, "en_auroc": 0.9925, "yes": 0.1707, "en_yes": 0.1685, "gold_yes": 0.4723}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 451 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · jailbreak_classification · acc | 94.95% | Setup & sourceJevBench multilingual · Spanish · jailbreak_classification · acc Mercury Decide, same named hosted route; Spanish; slice jailbreak_classification. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 396, "acc": 0.9495, "en_acc": 0.9697, "auroc": 0.9874, "en_auroc": 0.9933, "yes": 0.3182, "en_yes": 0.3182, "gold_yes": 0.3485}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 396 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · jailbreak_classification · auroc | 0.9874 coefficient | Setup & sourceJevBench multilingual · Spanish · jailbreak_classification · auroc Mercury Decide, same named hosted route; Spanish; slice jailbreak_classification. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 396, "acc": 0.9495, "en_acc": 0.9697, "auroc": 0.9874, "en_auroc": 0.9933, "yes": 0.3182, "en_yes": 0.3182, "gold_yes": 0.3485}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 396 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · jailbreak_classification · en_acc | 96.97% | Setup & sourceJevBench multilingual · Spanish · jailbreak_classification · en_acc Mercury Decide, same named hosted route; Spanish; slice jailbreak_classification. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 396, "acc": 0.9495, "en_acc": 0.9697, "auroc": 0.9874, "en_auroc": 0.9933, "yes": 0.3182, "en_yes": 0.3182, "gold_yes": 0.3485}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 396 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · jailbreak_classification · en_auroc | 0.9933 coefficient | Setup & sourceJevBench multilingual · Spanish · jailbreak_classification · en_auroc Mercury Decide, same named hosted route; Spanish; slice jailbreak_classification. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 396, "acc": 0.9495, "en_acc": 0.9697, "auroc": 0.9874, "en_auroc": 0.9933, "yes": 0.3182, "en_yes": 0.3182, "gold_yes": 0.3485}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 396 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · jailbreak_classification · yes | 31.82% | Setup & sourceJevBench multilingual · Spanish · jailbreak_classification · yes Mercury Decide, same named hosted route; Spanish; slice jailbreak_classification. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 396, "acc": 0.9495, "en_acc": 0.9697, "auroc": 0.9874, "en_auroc": 0.9933, "yes": 0.3182, "en_yes": 0.3182, "gold_yes": 0.3485}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 396 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · jailbreak_classification · en_yes | 31.82% | Setup & sourceJevBench multilingual · Spanish · jailbreak_classification · en_yes Mercury Decide, same named hosted route; Spanish; slice jailbreak_classification. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 396, "acc": 0.9495, "en_acc": 0.9697, "auroc": 0.9874, "en_auroc": 0.9933, "yes": 0.3182, "en_yes": 0.3182, "gold_yes": 0.3485}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 396 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · prompt_injections · acc | 81.42% | Setup & sourceJevBench multilingual · Spanish · prompt_injections · acc Mercury Decide, same named hosted route; Spanish; slice prompt_injections. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 113, "acc": 0.8142, "en_acc": 0.8142, "auroc": 0.9615, "en_auroc": 0.9843, "yes": 0.3186, "en_yes": 0.3186, "gold_yes": 0.5044}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 113 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · prompt_injections · auroc | 0.9615 coefficient | Setup & sourceJevBench multilingual · Spanish · prompt_injections · auroc Mercury Decide, same named hosted route; Spanish; slice prompt_injections. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 113, "acc": 0.8142, "en_acc": 0.8142, "auroc": 0.9615, "en_auroc": 0.9843, "yes": 0.3186, "en_yes": 0.3186, "gold_yes": 0.5044}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 113 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · prompt_injections · en_acc | 81.42% | Setup & sourceJevBench multilingual · Spanish · prompt_injections · en_acc Mercury Decide, same named hosted route; Spanish; slice prompt_injections. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 113, "acc": 0.8142, "en_acc": 0.8142, "auroc": 0.9615, "en_auroc": 0.9843, "yes": 0.3186, "en_yes": 0.3186, "gold_yes": 0.5044}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 113 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · prompt_injections · en_auroc | 0.9843 coefficient | Setup & sourceJevBench multilingual · Spanish · prompt_injections · en_auroc Mercury Decide, same named hosted route; Spanish; slice prompt_injections. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 113, "acc": 0.8142, "en_acc": 0.8142, "auroc": 0.9615, "en_auroc": 0.9843, "yes": 0.3186, "en_yes": 0.3186, "gold_yes": 0.5044}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 113 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · prompt_injections · yes | 31.86% | Setup & sourceJevBench multilingual · Spanish · prompt_injections · yes Mercury Decide, same named hosted route; Spanish; slice prompt_injections. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 113, "acc": 0.8142, "en_acc": 0.8142, "auroc": 0.9615, "en_auroc": 0.9843, "yes": 0.3186, "en_yes": 0.3186, "gold_yes": 0.5044}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 113 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Spanish · prompt_injections · en_yes | 31.86% | Setup & sourceJevBench multilingual · Spanish · prompt_injections · en_yes Mercury Decide, same named hosted route; Spanish; slice prompt_injections. {"answered": 1959, "cases": 1959, "complete": true} Full source observations: {"n": 113, "acc": 0.8142, "en_acc": 0.8142, "auroc": 0.9615, "en_auroc": 0.9843, "yes": 0.3186, "en_yes": 0.3186, "gold_yes": 0.5044}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 113 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · overall · acc | 79.18% | Setup & sourceJevBench multilingual · French · overall · acc Mercury Decide, same named hosted route; French; slice overall. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 1969, "acc": 0.7918, "en_acc": 0.8149, "delta": -0.0231, "ci": [-0.0395, -0.0072], "significant": true, "auroc": 0.9458, "en_auroc": 0.9577, "slices": {"aegis2": {"n": 500, "acc": 0.822, "en_acc": 0.84, "auroc": 0.9044, "en_auroc": 0.9279, "yes": 0.446, "en_yes": 0.464, "gold_yes": 0.5}, "aegis2_response": {"n": 500, "acc": 0.72, "en_acc": 0.772, "auroc": 0.8731, "en_auroc": 0.8876, "yes": 0.332, "en_yes": 0.352, "gold_yes": 0.5}, "atbench500": {"n": 459, "acc": 0.6688, "en_acc": 0.6732, "auroc": 0.9857, "en_auroc": 0.9944, "yes": 0.183, "en_yes": 0.1874, "gold_yes": 0.5142}, "jailbreak_classification": {"n": 395, "acc": 0.957, "en_acc": 0.9722, "auroc": 0.9868, "en_auroc": 0.9932, "yes": 0.3342, "en_yes": 0.319, "gold_yes": 0.3468}, "prompt_injections": {"n": 115, "acc": 0.7913, "en_acc": 0.8174, "auroc": 0.9788, "en_auroc": 0.9855, "yes": 0.3043, "en_yes": 0.3304, "gold_yes": 0.513}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 1969 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · overall · auroc | 0.9458 coefficient | Setup & sourceJevBench multilingual · French · overall · auroc Mercury Decide, same named hosted route; French; slice overall. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 1969, "acc": 0.7918, "en_acc": 0.8149, "delta": -0.0231, "ci": [-0.0395, -0.0072], "significant": true, "auroc": 0.9458, "en_auroc": 0.9577, "slices": {"aegis2": {"n": 500, "acc": 0.822, "en_acc": 0.84, "auroc": 0.9044, "en_auroc": 0.9279, "yes": 0.446, "en_yes": 0.464, "gold_yes": 0.5}, "aegis2_response": {"n": 500, "acc": 0.72, "en_acc": 0.772, "auroc": 0.8731, "en_auroc": 0.8876, "yes": 0.332, "en_yes": 0.352, "gold_yes": 0.5}, "atbench500": {"n": 459, "acc": 0.6688, "en_acc": 0.6732, "auroc": 0.9857, "en_auroc": 0.9944, "yes": 0.183, "en_yes": 0.1874, "gold_yes": 0.5142}, "jailbreak_classification": {"n": 395, "acc": 0.957, "en_acc": 0.9722, "auroc": 0.9868, "en_auroc": 0.9932, "yes": 0.3342, "en_yes": 0.319, "gold_yes": 0.3468}, "prompt_injections": {"n": 115, "acc": 0.7913, "en_acc": 0.8174, "auroc": 0.9788, "en_auroc": 0.9855, "yes": 0.3043, "en_yes": 0.3304, "gold_yes": 0.513}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 1969 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · overall · en_acc | 81.49% | Setup & sourceJevBench multilingual · French · overall · en_acc Mercury Decide, same named hosted route; French; slice overall. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 1969, "acc": 0.7918, "en_acc": 0.8149, "delta": -0.0231, "ci": [-0.0395, -0.0072], "significant": true, "auroc": 0.9458, "en_auroc": 0.9577, "slices": {"aegis2": {"n": 500, "acc": 0.822, "en_acc": 0.84, "auroc": 0.9044, "en_auroc": 0.9279, "yes": 0.446, "en_yes": 0.464, "gold_yes": 0.5}, "aegis2_response": {"n": 500, "acc": 0.72, "en_acc": 0.772, "auroc": 0.8731, "en_auroc": 0.8876, "yes": 0.332, "en_yes": 0.352, "gold_yes": 0.5}, "atbench500": {"n": 459, "acc": 0.6688, "en_acc": 0.6732, "auroc": 0.9857, "en_auroc": 0.9944, "yes": 0.183, "en_yes": 0.1874, "gold_yes": 0.5142}, "jailbreak_classification": {"n": 395, "acc": 0.957, "en_acc": 0.9722, "auroc": 0.9868, "en_auroc": 0.9932, "yes": 0.3342, "en_yes": 0.319, "gold_yes": 0.3468}, "prompt_injections": {"n": 115, "acc": 0.7913, "en_acc": 0.8174, "auroc": 0.9788, "en_auroc": 0.9855, "yes": 0.3043, "en_yes": 0.3304, "gold_yes": 0.513}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 1969 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · overall · en_auroc | 0.9577 coefficient | Setup & sourceJevBench multilingual · French · overall · en_auroc Mercury Decide, same named hosted route; French; slice overall. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 1969, "acc": 0.7918, "en_acc": 0.8149, "delta": -0.0231, "ci": [-0.0395, -0.0072], "significant": true, "auroc": 0.9458, "en_auroc": 0.9577, "slices": {"aegis2": {"n": 500, "acc": 0.822, "en_acc": 0.84, "auroc": 0.9044, "en_auroc": 0.9279, "yes": 0.446, "en_yes": 0.464, "gold_yes": 0.5}, "aegis2_response": {"n": 500, "acc": 0.72, "en_acc": 0.772, "auroc": 0.8731, "en_auroc": 0.8876, "yes": 0.332, "en_yes": 0.352, "gold_yes": 0.5}, "atbench500": {"n": 459, "acc": 0.6688, "en_acc": 0.6732, "auroc": 0.9857, "en_auroc": 0.9944, "yes": 0.183, "en_yes": 0.1874, "gold_yes": 0.5142}, "jailbreak_classification": {"n": 395, "acc": 0.957, "en_acc": 0.9722, "auroc": 0.9868, "en_auroc": 0.9932, "yes": 0.3342, "en_yes": 0.319, "gold_yes": 0.3468}, "prompt_injections": {"n": 115, "acc": 0.7913, "en_acc": 0.8174, "auroc": 0.9788, "en_auroc": 0.9855, "yes": 0.3043, "en_yes": 0.3304, "gold_yes": 0.513}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 1969 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · overall · delta | -2.31 pp | Setup & sourceJevBench multilingual · French · overall · delta Mercury Decide, same named hosted route; French; slice overall. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 1969, "acc": 0.7918, "en_acc": 0.8149, "delta": -0.0231, "ci": [-0.0395, -0.0072], "significant": true, "auroc": 0.9458, "en_auroc": 0.9577, "slices": {"aegis2": {"n": 500, "acc": 0.822, "en_acc": 0.84, "auroc": 0.9044, "en_auroc": 0.9279, "yes": 0.446, "en_yes": 0.464, "gold_yes": 0.5}, "aegis2_response": {"n": 500, "acc": 0.72, "en_acc": 0.772, "auroc": 0.8731, "en_auroc": 0.8876, "yes": 0.332, "en_yes": 0.352, "gold_yes": 0.5}, "atbench500": {"n": 459, "acc": 0.6688, "en_acc": 0.6732, "auroc": 0.9857, "en_auroc": 0.9944, "yes": 0.183, "en_yes": 0.1874, "gold_yes": 0.5142}, "jailbreak_classification": {"n": 395, "acc": 0.957, "en_acc": 0.9722, "auroc": 0.9868, "en_auroc": 0.9932, "yes": 0.3342, "en_yes": 0.319, "gold_yes": 0.3468}, "prompt_injections": {"n": 115, "acc": 0.7913, "en_acc": 0.8174, "auroc": 0.9788, "en_auroc": 0.9855, "yes": 0.3043, "en_yes": 0.3304, "gold_yes": 0.513}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 1969 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · aegis2 · acc | 82.20% | Setup & sourceJevBench multilingual · French · aegis2 · acc Mercury Decide, same named hosted route; French; slice aegis2. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 500, "acc": 0.822, "en_acc": 0.84, "auroc": 0.9044, "en_auroc": 0.9279, "yes": 0.446, "en_yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · aegis2 · auroc | 0.9044 coefficient | Setup & sourceJevBench multilingual · French · aegis2 · auroc Mercury Decide, same named hosted route; French; slice aegis2. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 500, "acc": 0.822, "en_acc": 0.84, "auroc": 0.9044, "en_auroc": 0.9279, "yes": 0.446, "en_yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · aegis2 · en_acc | 84.00% | Setup & sourceJevBench multilingual · French · aegis2 · en_acc Mercury Decide, same named hosted route; French; slice aegis2. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 500, "acc": 0.822, "en_acc": 0.84, "auroc": 0.9044, "en_auroc": 0.9279, "yes": 0.446, "en_yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · aegis2 · en_auroc | 0.9279 coefficient | Setup & sourceJevBench multilingual · French · aegis2 · en_auroc Mercury Decide, same named hosted route; French; slice aegis2. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 500, "acc": 0.822, "en_acc": 0.84, "auroc": 0.9044, "en_auroc": 0.9279, "yes": 0.446, "en_yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · aegis2 · yes | 44.60% | Setup & sourceJevBench multilingual · French · aegis2 · yes Mercury Decide, same named hosted route; French; slice aegis2. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 500, "acc": 0.822, "en_acc": 0.84, "auroc": 0.9044, "en_auroc": 0.9279, "yes": 0.446, "en_yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · aegis2 · en_yes | 46.40% | Setup & sourceJevBench multilingual · French · aegis2 · en_yes Mercury Decide, same named hosted route; French; slice aegis2. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 500, "acc": 0.822, "en_acc": 0.84, "auroc": 0.9044, "en_auroc": 0.9279, "yes": 0.446, "en_yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · aegis2_response · acc | 72.00% | Setup & sourceJevBench multilingual · French · aegis2_response · acc Mercury Decide, same named hosted route; French; slice aegis2_response. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 500, "acc": 0.72, "en_acc": 0.772, "auroc": 0.8731, "en_auroc": 0.8876, "yes": 0.332, "en_yes": 0.352, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · aegis2_response · auroc | 0.8731 coefficient | Setup & sourceJevBench multilingual · French · aegis2_response · auroc Mercury Decide, same named hosted route; French; slice aegis2_response. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 500, "acc": 0.72, "en_acc": 0.772, "auroc": 0.8731, "en_auroc": 0.8876, "yes": 0.332, "en_yes": 0.352, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · aegis2_response · en_acc | 77.20% | Setup & sourceJevBench multilingual · French · aegis2_response · en_acc Mercury Decide, same named hosted route; French; slice aegis2_response. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 500, "acc": 0.72, "en_acc": 0.772, "auroc": 0.8731, "en_auroc": 0.8876, "yes": 0.332, "en_yes": 0.352, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · aegis2_response · en_auroc | 0.8876 coefficient | Setup & sourceJevBench multilingual · French · aegis2_response · en_auroc Mercury Decide, same named hosted route; French; slice aegis2_response. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 500, "acc": 0.72, "en_acc": 0.772, "auroc": 0.8731, "en_auroc": 0.8876, "yes": 0.332, "en_yes": 0.352, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · aegis2_response · yes | 33.20% | Setup & sourceJevBench multilingual · French · aegis2_response · yes Mercury Decide, same named hosted route; French; slice aegis2_response. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 500, "acc": 0.72, "en_acc": 0.772, "auroc": 0.8731, "en_auroc": 0.8876, "yes": 0.332, "en_yes": 0.352, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · aegis2_response · en_yes | 35.20% | Setup & sourceJevBench multilingual · French · aegis2_response · en_yes Mercury Decide, same named hosted route; French; slice aegis2_response. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 500, "acc": 0.72, "en_acc": 0.772, "auroc": 0.8731, "en_auroc": 0.8876, "yes": 0.332, "en_yes": 0.352, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · atbench500 · acc | 66.88% | Setup & sourceJevBench multilingual · French · atbench500 · acc Mercury Decide, same named hosted route; French; slice atbench500. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 459, "acc": 0.6688, "en_acc": 0.6732, "auroc": 0.9857, "en_auroc": 0.9944, "yes": 0.183, "en_yes": 0.1874, "gold_yes": 0.5142}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 459 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · atbench500 · auroc | 0.9857 coefficient | Setup & sourceJevBench multilingual · French · atbench500 · auroc Mercury Decide, same named hosted route; French; slice atbench500. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 459, "acc": 0.6688, "en_acc": 0.6732, "auroc": 0.9857, "en_auroc": 0.9944, "yes": 0.183, "en_yes": 0.1874, "gold_yes": 0.5142}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 459 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · atbench500 · en_acc | 67.32% | Setup & sourceJevBench multilingual · French · atbench500 · en_acc Mercury Decide, same named hosted route; French; slice atbench500. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 459, "acc": 0.6688, "en_acc": 0.6732, "auroc": 0.9857, "en_auroc": 0.9944, "yes": 0.183, "en_yes": 0.1874, "gold_yes": 0.5142}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 459 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · atbench500 · en_auroc | 0.9944 coefficient | Setup & sourceJevBench multilingual · French · atbench500 · en_auroc Mercury Decide, same named hosted route; French; slice atbench500. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 459, "acc": 0.6688, "en_acc": 0.6732, "auroc": 0.9857, "en_auroc": 0.9944, "yes": 0.183, "en_yes": 0.1874, "gold_yes": 0.5142}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 459 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · atbench500 · yes | 18.30% | Setup & sourceJevBench multilingual · French · atbench500 · yes Mercury Decide, same named hosted route; French; slice atbench500. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 459, "acc": 0.6688, "en_acc": 0.6732, "auroc": 0.9857, "en_auroc": 0.9944, "yes": 0.183, "en_yes": 0.1874, "gold_yes": 0.5142}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 459 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · atbench500 · en_yes | 18.74% | Setup & sourceJevBench multilingual · French · atbench500 · en_yes Mercury Decide, same named hosted route; French; slice atbench500. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 459, "acc": 0.6688, "en_acc": 0.6732, "auroc": 0.9857, "en_auroc": 0.9944, "yes": 0.183, "en_yes": 0.1874, "gold_yes": 0.5142}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 459 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · jailbreak_classification · acc | 95.70% | Setup & sourceJevBench multilingual · French · jailbreak_classification · acc Mercury Decide, same named hosted route; French; slice jailbreak_classification. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 395, "acc": 0.957, "en_acc": 0.9722, "auroc": 0.9868, "en_auroc": 0.9932, "yes": 0.3342, "en_yes": 0.319, "gold_yes": 0.3468}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 395 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · jailbreak_classification · auroc | 0.9868 coefficient | Setup & sourceJevBench multilingual · French · jailbreak_classification · auroc Mercury Decide, same named hosted route; French; slice jailbreak_classification. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 395, "acc": 0.957, "en_acc": 0.9722, "auroc": 0.9868, "en_auroc": 0.9932, "yes": 0.3342, "en_yes": 0.319, "gold_yes": 0.3468}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 395 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · jailbreak_classification · en_acc | 97.22% | Setup & sourceJevBench multilingual · French · jailbreak_classification · en_acc Mercury Decide, same named hosted route; French; slice jailbreak_classification. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 395, "acc": 0.957, "en_acc": 0.9722, "auroc": 0.9868, "en_auroc": 0.9932, "yes": 0.3342, "en_yes": 0.319, "gold_yes": 0.3468}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 395 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · jailbreak_classification · en_auroc | 0.9932 coefficient | Setup & sourceJevBench multilingual · French · jailbreak_classification · en_auroc Mercury Decide, same named hosted route; French; slice jailbreak_classification. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 395, "acc": 0.957, "en_acc": 0.9722, "auroc": 0.9868, "en_auroc": 0.9932, "yes": 0.3342, "en_yes": 0.319, "gold_yes": 0.3468}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 395 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · jailbreak_classification · yes | 33.42% | Setup & sourceJevBench multilingual · French · jailbreak_classification · yes Mercury Decide, same named hosted route; French; slice jailbreak_classification. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 395, "acc": 0.957, "en_acc": 0.9722, "auroc": 0.9868, "en_auroc": 0.9932, "yes": 0.3342, "en_yes": 0.319, "gold_yes": 0.3468}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 395 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · jailbreak_classification · en_yes | 31.90% | Setup & sourceJevBench multilingual · French · jailbreak_classification · en_yes Mercury Decide, same named hosted route; French; slice jailbreak_classification. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 395, "acc": 0.957, "en_acc": 0.9722, "auroc": 0.9868, "en_auroc": 0.9932, "yes": 0.3342, "en_yes": 0.319, "gold_yes": 0.3468}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 395 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · prompt_injections · acc | 79.13% | Setup & sourceJevBench multilingual · French · prompt_injections · acc Mercury Decide, same named hosted route; French; slice prompt_injections. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 115, "acc": 0.7913, "en_acc": 0.8174, "auroc": 0.9788, "en_auroc": 0.9855, "yes": 0.3043, "en_yes": 0.3304, "gold_yes": 0.513}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 115 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · prompt_injections · auroc | 0.9788 coefficient | Setup & sourceJevBench multilingual · French · prompt_injections · auroc Mercury Decide, same named hosted route; French; slice prompt_injections. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 115, "acc": 0.7913, "en_acc": 0.8174, "auroc": 0.9788, "en_auroc": 0.9855, "yes": 0.3043, "en_yes": 0.3304, "gold_yes": 0.513}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 115 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · prompt_injections · en_acc | 81.74% | Setup & sourceJevBench multilingual · French · prompt_injections · en_acc Mercury Decide, same named hosted route; French; slice prompt_injections. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 115, "acc": 0.7913, "en_acc": 0.8174, "auroc": 0.9788, "en_auroc": 0.9855, "yes": 0.3043, "en_yes": 0.3304, "gold_yes": 0.513}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 115 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · prompt_injections · en_auroc | 0.9855 coefficient | Setup & sourceJevBench multilingual · French · prompt_injections · en_auroc Mercury Decide, same named hosted route; French; slice prompt_injections. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 115, "acc": 0.7913, "en_acc": 0.8174, "auroc": 0.9788, "en_auroc": 0.9855, "yes": 0.3043, "en_yes": 0.3304, "gold_yes": 0.513}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 115 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · prompt_injections · yes | 30.43% | Setup & sourceJevBench multilingual · French · prompt_injections · yes Mercury Decide, same named hosted route; French; slice prompt_injections. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 115, "acc": 0.7913, "en_acc": 0.8174, "auroc": 0.9788, "en_auroc": 0.9855, "yes": 0.3043, "en_yes": 0.3304, "gold_yes": 0.513}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 115 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · French · prompt_injections · en_yes | 33.04% | Setup & sourceJevBench multilingual · French · prompt_injections · en_yes Mercury Decide, same named hosted route; French; slice prompt_injections. {"answered": 1969, "cases": 1969, "complete": true} Full source observations: {"n": 115, "acc": 0.7913, "en_acc": 0.8174, "auroc": 0.9788, "en_auroc": 0.9855, "yes": 0.3043, "en_yes": 0.3304, "gold_yes": 0.513}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 115 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · overall · acc | 80.40% | Setup & sourceJevBench multilingual · Russian · overall · acc Mercury Decide, same named hosted route; Russian; slice overall. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 2005, "acc": 0.804, "en_acc": 0.8155, "delta": -0.0115, "ci": [-0.0265, 0.0036], "significant": false, "auroc": 0.9492, "en_auroc": 0.9573, "slices": {"aegis2": {"n": 500, "acc": 0.826, "en_acc": 0.84, "auroc": 0.9227, "en_auroc": 0.9279, "yes": 0.466, "en_yes": 0.464, "gold_yes": 0.5}, "aegis2_response": {"n": 500, "acc": 0.732, "en_acc": 0.772, "auroc": 0.8666, "en_auroc": 0.8876, "yes": 0.328, "en_yes": 0.352, "gold_yes": 0.5}, "atbench500": {"n": 490, "acc": 0.6796, "en_acc": 0.6878, "auroc": 0.988, "en_auroc": 0.993, "yes": 0.1837, "en_yes": 0.1918, "gold_yes": 0.5041}, "jailbreak_classification": {"n": 399, "acc": 0.9549, "en_acc": 0.9674, "auroc": 0.9895, "en_auroc": 0.993, "yes": 0.3258, "en_yes": 0.3183, "gold_yes": 0.3509}, "prompt_injections": {"n": 116, "acc": 0.8276, "en_acc": 0.8103, "auroc": 0.9792, "en_auroc": 0.9851, "yes": 0.3448, "en_yes": 0.3276, "gold_yes": 0.5172}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 2005 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · overall · auroc | 0.9492 coefficient | Setup & sourceJevBench multilingual · Russian · overall · auroc Mercury Decide, same named hosted route; Russian; slice overall. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 2005, "acc": 0.804, "en_acc": 0.8155, "delta": -0.0115, "ci": [-0.0265, 0.0036], "significant": false, "auroc": 0.9492, "en_auroc": 0.9573, "slices": {"aegis2": {"n": 500, "acc": 0.826, "en_acc": 0.84, "auroc": 0.9227, "en_auroc": 0.9279, "yes": 0.466, "en_yes": 0.464, "gold_yes": 0.5}, "aegis2_response": {"n": 500, "acc": 0.732, "en_acc": 0.772, "auroc": 0.8666, "en_auroc": 0.8876, "yes": 0.328, "en_yes": 0.352, "gold_yes": 0.5}, "atbench500": {"n": 490, "acc": 0.6796, "en_acc": 0.6878, "auroc": 0.988, "en_auroc": 0.993, "yes": 0.1837, "en_yes": 0.1918, "gold_yes": 0.5041}, "jailbreak_classification": {"n": 399, "acc": 0.9549, "en_acc": 0.9674, "auroc": 0.9895, "en_auroc": 0.993, "yes": 0.3258, "en_yes": 0.3183, "gold_yes": 0.3509}, "prompt_injections": {"n": 116, "acc": 0.8276, "en_acc": 0.8103, "auroc": 0.9792, "en_auroc": 0.9851, "yes": 0.3448, "en_yes": 0.3276, "gold_yes": 0.5172}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 2005 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · overall · en_acc | 81.55% | Setup & sourceJevBench multilingual · Russian · overall · en_acc Mercury Decide, same named hosted route; Russian; slice overall. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 2005, "acc": 0.804, "en_acc": 0.8155, "delta": -0.0115, "ci": [-0.0265, 0.0036], "significant": false, "auroc": 0.9492, "en_auroc": 0.9573, "slices": {"aegis2": {"n": 500, "acc": 0.826, "en_acc": 0.84, "auroc": 0.9227, "en_auroc": 0.9279, "yes": 0.466, "en_yes": 0.464, "gold_yes": 0.5}, "aegis2_response": {"n": 500, "acc": 0.732, "en_acc": 0.772, "auroc": 0.8666, "en_auroc": 0.8876, "yes": 0.328, "en_yes": 0.352, "gold_yes": 0.5}, "atbench500": {"n": 490, "acc": 0.6796, "en_acc": 0.6878, "auroc": 0.988, "en_auroc": 0.993, "yes": 0.1837, "en_yes": 0.1918, "gold_yes": 0.5041}, "jailbreak_classification": {"n": 399, "acc": 0.9549, "en_acc": 0.9674, "auroc": 0.9895, "en_auroc": 0.993, "yes": 0.3258, "en_yes": 0.3183, "gold_yes": 0.3509}, "prompt_injections": {"n": 116, "acc": 0.8276, "en_acc": 0.8103, "auroc": 0.9792, "en_auroc": 0.9851, "yes": 0.3448, "en_yes": 0.3276, "gold_yes": 0.5172}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 2005 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · overall · en_auroc | 0.9573 coefficient | Setup & sourceJevBench multilingual · Russian · overall · en_auroc Mercury Decide, same named hosted route; Russian; slice overall. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 2005, "acc": 0.804, "en_acc": 0.8155, "delta": -0.0115, "ci": [-0.0265, 0.0036], "significant": false, "auroc": 0.9492, "en_auroc": 0.9573, "slices": {"aegis2": {"n": 500, "acc": 0.826, "en_acc": 0.84, "auroc": 0.9227, "en_auroc": 0.9279, "yes": 0.466, "en_yes": 0.464, "gold_yes": 0.5}, "aegis2_response": {"n": 500, "acc": 0.732, "en_acc": 0.772, "auroc": 0.8666, "en_auroc": 0.8876, "yes": 0.328, "en_yes": 0.352, "gold_yes": 0.5}, "atbench500": {"n": 490, "acc": 0.6796, "en_acc": 0.6878, "auroc": 0.988, "en_auroc": 0.993, "yes": 0.1837, "en_yes": 0.1918, "gold_yes": 0.5041}, "jailbreak_classification": {"n": 399, "acc": 0.9549, "en_acc": 0.9674, "auroc": 0.9895, "en_auroc": 0.993, "yes": 0.3258, "en_yes": 0.3183, "gold_yes": 0.3509}, "prompt_injections": {"n": 116, "acc": 0.8276, "en_acc": 0.8103, "auroc": 0.9792, "en_auroc": 0.9851, "yes": 0.3448, "en_yes": 0.3276, "gold_yes": 0.5172}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 2005 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · overall · delta | -1.15 pp | Setup & sourceJevBench multilingual · Russian · overall · delta Mercury Decide, same named hosted route; Russian; slice overall. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 2005, "acc": 0.804, "en_acc": 0.8155, "delta": -0.0115, "ci": [-0.0265, 0.0036], "significant": false, "auroc": 0.9492, "en_auroc": 0.9573, "slices": {"aegis2": {"n": 500, "acc": 0.826, "en_acc": 0.84, "auroc": 0.9227, "en_auroc": 0.9279, "yes": 0.466, "en_yes": 0.464, "gold_yes": 0.5}, "aegis2_response": {"n": 500, "acc": 0.732, "en_acc": 0.772, "auroc": 0.8666, "en_auroc": 0.8876, "yes": 0.328, "en_yes": 0.352, "gold_yes": 0.5}, "atbench500": {"n": 490, "acc": 0.6796, "en_acc": 0.6878, "auroc": 0.988, "en_auroc": 0.993, "yes": 0.1837, "en_yes": 0.1918, "gold_yes": 0.5041}, "jailbreak_classification": {"n": 399, "acc": 0.9549, "en_acc": 0.9674, "auroc": 0.9895, "en_auroc": 0.993, "yes": 0.3258, "en_yes": 0.3183, "gold_yes": 0.3509}, "prompt_injections": {"n": 116, "acc": 0.8276, "en_acc": 0.8103, "auroc": 0.9792, "en_auroc": 0.9851, "yes": 0.3448, "en_yes": 0.3276, "gold_yes": 0.5172}}}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 2005 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · aegis2 · acc | 82.60% | Setup & sourceJevBench multilingual · Russian · aegis2 · acc Mercury Decide, same named hosted route; Russian; slice aegis2. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 500, "acc": 0.826, "en_acc": 0.84, "auroc": 0.9227, "en_auroc": 0.9279, "yes": 0.466, "en_yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · aegis2 · auroc | 0.9227 coefficient | Setup & sourceJevBench multilingual · Russian · aegis2 · auroc Mercury Decide, same named hosted route; Russian; slice aegis2. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 500, "acc": 0.826, "en_acc": 0.84, "auroc": 0.9227, "en_auroc": 0.9279, "yes": 0.466, "en_yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · aegis2 · en_acc | 84.00% | Setup & sourceJevBench multilingual · Russian · aegis2 · en_acc Mercury Decide, same named hosted route; Russian; slice aegis2. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 500, "acc": 0.826, "en_acc": 0.84, "auroc": 0.9227, "en_auroc": 0.9279, "yes": 0.466, "en_yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · aegis2 · en_auroc | 0.9279 coefficient | Setup & sourceJevBench multilingual · Russian · aegis2 · en_auroc Mercury Decide, same named hosted route; Russian; slice aegis2. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 500, "acc": 0.826, "en_acc": 0.84, "auroc": 0.9227, "en_auroc": 0.9279, "yes": 0.466, "en_yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · aegis2 · yes | 46.60% | Setup & sourceJevBench multilingual · Russian · aegis2 · yes Mercury Decide, same named hosted route; Russian; slice aegis2. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 500, "acc": 0.826, "en_acc": 0.84, "auroc": 0.9227, "en_auroc": 0.9279, "yes": 0.466, "en_yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · aegis2 · en_yes | 46.40% | Setup & sourceJevBench multilingual · Russian · aegis2 · en_yes Mercury Decide, same named hosted route; Russian; slice aegis2. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 500, "acc": 0.826, "en_acc": 0.84, "auroc": 0.9227, "en_auroc": 0.9279, "yes": 0.466, "en_yes": 0.464, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · aegis2_response · acc | 73.20% | Setup & sourceJevBench multilingual · Russian · aegis2_response · acc Mercury Decide, same named hosted route; Russian; slice aegis2_response. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 500, "acc": 0.732, "en_acc": 0.772, "auroc": 0.8666, "en_auroc": 0.8876, "yes": 0.328, "en_yes": 0.352, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · aegis2_response · auroc | 0.8666 coefficient | Setup & sourceJevBench multilingual · Russian · aegis2_response · auroc Mercury Decide, same named hosted route; Russian; slice aegis2_response. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 500, "acc": 0.732, "en_acc": 0.772, "auroc": 0.8666, "en_auroc": 0.8876, "yes": 0.328, "en_yes": 0.352, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · aegis2_response · en_acc | 77.20% | Setup & sourceJevBench multilingual · Russian · aegis2_response · en_acc Mercury Decide, same named hosted route; Russian; slice aegis2_response. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 500, "acc": 0.732, "en_acc": 0.772, "auroc": 0.8666, "en_auroc": 0.8876, "yes": 0.328, "en_yes": 0.352, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · aegis2_response · en_auroc | 0.8876 coefficient | Setup & sourceJevBench multilingual · Russian · aegis2_response · en_auroc Mercury Decide, same named hosted route; Russian; slice aegis2_response. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 500, "acc": 0.732, "en_acc": 0.772, "auroc": 0.8666, "en_auroc": 0.8876, "yes": 0.328, "en_yes": 0.352, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · aegis2_response · yes | 32.80% | Setup & sourceJevBench multilingual · Russian · aegis2_response · yes Mercury Decide, same named hosted route; Russian; slice aegis2_response. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 500, "acc": 0.732, "en_acc": 0.772, "auroc": 0.8666, "en_auroc": 0.8876, "yes": 0.328, "en_yes": 0.352, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · aegis2_response · en_yes | 35.20% | Setup & sourceJevBench multilingual · Russian · aegis2_response · en_yes Mercury Decide, same named hosted route; Russian; slice aegis2_response. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 500, "acc": 0.732, "en_acc": 0.772, "auroc": 0.8666, "en_auroc": 0.8876, "yes": 0.328, "en_yes": 0.352, "gold_yes": 0.5}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 500 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · atbench500 · acc | 67.96% | Setup & sourceJevBench multilingual · Russian · atbench500 · acc Mercury Decide, same named hosted route; Russian; slice atbench500. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 490, "acc": 0.6796, "en_acc": 0.6878, "auroc": 0.988, "en_auroc": 0.993, "yes": 0.1837, "en_yes": 0.1918, "gold_yes": 0.5041}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 490 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · atbench500 · auroc | 0.9880 coefficient | Setup & sourceJevBench multilingual · Russian · atbench500 · auroc Mercury Decide, same named hosted route; Russian; slice atbench500. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 490, "acc": 0.6796, "en_acc": 0.6878, "auroc": 0.988, "en_auroc": 0.993, "yes": 0.1837, "en_yes": 0.1918, "gold_yes": 0.5041}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 490 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · atbench500 · en_acc | 68.78% | Setup & sourceJevBench multilingual · Russian · atbench500 · en_acc Mercury Decide, same named hosted route; Russian; slice atbench500. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 490, "acc": 0.6796, "en_acc": 0.6878, "auroc": 0.988, "en_auroc": 0.993, "yes": 0.1837, "en_yes": 0.1918, "gold_yes": 0.5041}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 490 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · atbench500 · en_auroc | 0.9930 coefficient | Setup & sourceJevBench multilingual · Russian · atbench500 · en_auroc Mercury Decide, same named hosted route; Russian; slice atbench500. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 490, "acc": 0.6796, "en_acc": 0.6878, "auroc": 0.988, "en_auroc": 0.993, "yes": 0.1837, "en_yes": 0.1918, "gold_yes": 0.5041}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 490 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · atbench500 · yes | 18.37% | Setup & sourceJevBench multilingual · Russian · atbench500 · yes Mercury Decide, same named hosted route; Russian; slice atbench500. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 490, "acc": 0.6796, "en_acc": 0.6878, "auroc": 0.988, "en_auroc": 0.993, "yes": 0.1837, "en_yes": 0.1918, "gold_yes": 0.5041}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 490 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · atbench500 · en_yes | 19.18% | Setup & sourceJevBench multilingual · Russian · atbench500 · en_yes Mercury Decide, same named hosted route; Russian; slice atbench500. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 490, "acc": 0.6796, "en_acc": 0.6878, "auroc": 0.988, "en_auroc": 0.993, "yes": 0.1837, "en_yes": 0.1918, "gold_yes": 0.5041}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 490 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · jailbreak_classification · acc | 95.49% | Setup & sourceJevBench multilingual · Russian · jailbreak_classification · acc Mercury Decide, same named hosted route; Russian; slice jailbreak_classification. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 399, "acc": 0.9549, "en_acc": 0.9674, "auroc": 0.9895, "en_auroc": 0.993, "yes": 0.3258, "en_yes": 0.3183, "gold_yes": 0.3509}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 399 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · jailbreak_classification · auroc | 0.9895 coefficient | Setup & sourceJevBench multilingual · Russian · jailbreak_classification · auroc Mercury Decide, same named hosted route; Russian; slice jailbreak_classification. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 399, "acc": 0.9549, "en_acc": 0.9674, "auroc": 0.9895, "en_auroc": 0.993, "yes": 0.3258, "en_yes": 0.3183, "gold_yes": 0.3509}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 399 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · jailbreak_classification · en_acc | 96.74% | Setup & sourceJevBench multilingual · Russian · jailbreak_classification · en_acc Mercury Decide, same named hosted route; Russian; slice jailbreak_classification. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 399, "acc": 0.9549, "en_acc": 0.9674, "auroc": 0.9895, "en_auroc": 0.993, "yes": 0.3258, "en_yes": 0.3183, "gold_yes": 0.3509}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 399 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · jailbreak_classification · en_auroc | 0.9930 coefficient | Setup & sourceJevBench multilingual · Russian · jailbreak_classification · en_auroc Mercury Decide, same named hosted route; Russian; slice jailbreak_classification. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 399, "acc": 0.9549, "en_acc": 0.9674, "auroc": 0.9895, "en_auroc": 0.993, "yes": 0.3258, "en_yes": 0.3183, "gold_yes": 0.3509}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 399 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · jailbreak_classification · yes | 32.58% | Setup & sourceJevBench multilingual · Russian · jailbreak_classification · yes Mercury Decide, same named hosted route; Russian; slice jailbreak_classification. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 399, "acc": 0.9549, "en_acc": 0.9674, "auroc": 0.9895, "en_auroc": 0.993, "yes": 0.3258, "en_yes": 0.3183, "gold_yes": 0.3509}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 399 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · jailbreak_classification · en_yes | 31.83% | Setup & sourceJevBench multilingual · Russian · jailbreak_classification · en_yes Mercury Decide, same named hosted route; Russian; slice jailbreak_classification. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 399, "acc": 0.9549, "en_acc": 0.9674, "auroc": 0.9895, "en_auroc": 0.993, "yes": 0.3258, "en_yes": 0.3183, "gold_yes": 0.3509}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 399 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · prompt_injections · acc | 82.76% | Setup & sourceJevBench multilingual · Russian · prompt_injections · acc Mercury Decide, same named hosted route; Russian; slice prompt_injections. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 116, "acc": 0.8276, "en_acc": 0.8103, "auroc": 0.9792, "en_auroc": 0.9851, "yes": 0.3448, "en_yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · prompt_injections · auroc | 0.9792 coefficient | Setup & sourceJevBench multilingual · Russian · prompt_injections · auroc Mercury Decide, same named hosted route; Russian; slice prompt_injections. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 116, "acc": 0.8276, "en_acc": 0.8103, "auroc": 0.9792, "en_auroc": 0.9851, "yes": 0.3448, "en_yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · prompt_injections · en_acc | 81.03% | Setup & sourceJevBench multilingual · Russian · prompt_injections · en_acc Mercury Decide, same named hosted route; Russian; slice prompt_injections. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 116, "acc": 0.8276, "en_acc": 0.8103, "auroc": 0.9792, "en_auroc": 0.9851, "yes": 0.3448, "en_yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · prompt_injections · en_auroc | 0.9851 coefficient | Setup & sourceJevBench multilingual · Russian · prompt_injections · en_auroc Mercury Decide, same named hosted route; Russian; slice prompt_injections. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 116, "acc": 0.8276, "en_acc": 0.8103, "auroc": 0.9792, "en_auroc": 0.9851, "yes": 0.3448, "en_yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · prompt_injections · yes | 34.48% | Setup & sourceJevBench multilingual · Russian · prompt_injections · yes Mercury Decide, same named hosted route; Russian; slice prompt_injections. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 116, "acc": 0.8276, "en_acc": 0.8103, "auroc": 0.9792, "en_auroc": 0.9851, "yes": 0.3448, "en_yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| JevBench multilingual · Russian · prompt_injections · en_yes | 32.76% | Setup & sourceJevBench multilingual · Russian · prompt_injections · en_yes Mercury Decide, same named hosted route; Russian; slice prompt_injections. {"answered": 2005, "cases": 2005, "complete": true} Full source observations: {"n": 116, "acc": 0.8276, "en_acc": 0.8103, "auroc": 0.9792, "en_auroc": 0.9851, "yes": 0.3448, "en_yes": 0.3276, "gold_yes": 0.5172}. Translation provenance: {"zh": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 467}, "_segments": {"records": 5191, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ar": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 493}, "_segments": {"records": 5089, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "hi": {"jailbreak_classification": {"cases": 400, "usable": 397}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 487}, "_segments": {"records": 14759, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "vi": {"jailbreak_classification": {"cases": 400, "usable": 394}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 497}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 463}, "_segments": {"records": 5145, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "sw": {"jailbreak_classification": {"cases": 400, "usable": 398}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 499}, "atbench500": {"cases": 500, "usable": 484}, "_segments": {"records": 5333, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "es": {"jailbreak_classification": {"cases": 400, "usable": 396}, "prompt_injections": {"cases": 116, "usable": 113}, "aegis2": {"cases": 500, "usable": 499}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 451}, "_segments": {"records": 6637, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "fr": {"jailbreak_classification": {"cases": 400, "usable": 395}, "prompt_injections": {"cases": 116, "usable": 115}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 459}, "_segments": {"records": 5132, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}, "ru": {"jailbreak_classification": {"cases": 400, "usable": 399}, "prompt_injections": {"cases": 116, "usable": 116}, "aegis2": {"cases": 500, "usable": 500}, "aegis2_response": {"cases": 500, "usable": 500}, "atbench500": {"cases": 500, "usable": 490}, "_segments": {"records": 5092, "translator": ["gpt-6-astra"], "reasoning_effort": ["low"]}}} Translated binary benchmark, five slices; target-language and English answers use the same retained cases. Translation failures change per-language populations. Mean across five benchmark accuracies, not pooled item accuracy. AUROC is a native0–1 coefficient; delta is paired accuracy percentage points. Yes rate is response propensity, not quality. No Examenos inference or translation. Checked / reported: 2026-10-20 · Samples: 116 Snapshot: 2026-10-16 · Revision: 6954ce9d98d81210d043ca0e94bc72bff6443140 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
Independent · Vals AI
| Evaluation | Result | Evidence |
|---|---|---|
| Vals Mercury Decide study · Claim verification · all · accuracy | 97.750% | Setup & sourceVals Mercury Decide study · Claim verification · all · accuracy Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: 400 Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · Claim verification · all · estimated cost | 0.00617 USD/1k cases | Setup & sourceVals Mercury Decide study · Claim verification · all · estimated cost Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: 400 Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · Claim verification · direct_support · accuracy | 96.250% | Setup & sourceVals Mercury Decide study · Claim verification · direct_support · accuracy Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: 80 Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · Claim verification · direct_support · estimated cost | 0.00608 USD/1k cases | Setup & sourceVals Mercury Decide study · Claim verification · direct_support · estimated cost Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: 80 Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · Claim verification · subtle_contradiction · accuracy | 98.750% | Setup & sourceVals Mercury Decide study · Claim verification · subtle_contradiction · accuracy Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: 80 Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · Claim verification · subtle_contradiction · estimated cost | 0.00613 USD/1k cases | Setup & sourceVals Mercury Decide study · Claim verification · subtle_contradiction · estimated cost Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: 80 Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · Claim verification · numeric_discrepancy · accuracy | 100.000% | Setup & sourceVals Mercury Decide study · Claim verification · numeric_discrepancy · accuracy Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: 80 Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · Claim verification · numeric_discrepancy · estimated cost | 0.00637 USD/1k cases | Setup & sourceVals Mercury Decide study · Claim verification · numeric_discrepancy · estimated cost Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: 80 Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · Claim verification · missing_evidence · accuracy | 97.500% | Setup & sourceVals Mercury Decide study · Claim verification · missing_evidence · accuracy Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: 80 Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · Claim verification · missing_evidence · estimated cost | 0.00557 USD/1k cases | Setup & sourceVals Mercury Decide study · Claim verification · missing_evidence · estimated cost Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: 80 Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · Claim verification · non_supporting_citation · accuracy | 96.250% | Setup & sourceVals Mercury Decide study · Claim verification · non_supporting_citation · accuracy Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: 80 Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · Claim verification · non_supporting_citation · estimated cost | 0.00670 USD/1k cases | Setup & sourceVals Mercury Decide study · Claim verification · non_supporting_citation · estimated cost Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: 80 Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · LegalBench33/task · international_citizenship_questions | 69.697% | Setup & sourceVals Mercury Decide study · LegalBench33/task · international_citizenship_questions Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: 33 Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · LegalBench33/task · personal_jurisdiction | 84.848% | Setup & sourceVals Mercury Decide study · LegalBench33/task · personal_jurisdiction Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: 33 Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · LegalBench33/task · learned_hands_consumer | 75.758% | Setup & sourceVals Mercury Decide study · LegalBench33/task · learned_hands_consumer Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: 33 Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · LegalBench33/task · nys_judicial_ethics | 78.788% | Setup & sourceVals Mercury Decide study · LegalBench33/task · nys_judicial_ethics Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: 33 Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · LegalBench33/task · abercrombie | 81.818% | Setup & sourceVals Mercury Decide study · LegalBench33/task · abercrombie Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: 33 Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · LegalBench33/task · definition_classification | 90.909% | Setup & sourceVals Mercury Decide study · LegalBench33/task · definition_classification Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: 33 Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · LegalBench33/task · hearsay | 84.848% | Setup & sourceVals Mercury Decide study · LegalBench33/task · hearsay Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: 33 Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · LegalBench33/task · learned_hands_crime | 87.879% | Setup & sourceVals Mercury Decide study · LegalBench33/task · learned_hands_crime Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: 33 Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · LegalBench33/task · overruling | 93.939% | Setup & sourceVals Mercury Decide study · LegalBench33/task · overruling Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: 33 Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · LegalBench33/task · contract_nli_confidentiality_of_agreement | 96.970% | Setup & sourceVals Mercury Decide study · LegalBench33/task · contract_nli_confidentiality_of_agreement Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: 33 Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · LegalBench33/task · contract_nli_permissible_copy | 96.970% | Setup & sourceVals Mercury Decide study · LegalBench33/task · contract_nli_permissible_copy Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: 33 Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · LegalBench33/task · cuad_governing_law | 100.000% | Setup & sourceVals Mercury Decide study · LegalBench33/task · cuad_governing_law Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: 33 Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · LegalBench396 · accuracy | 86.900% | Setup & sourceVals Mercury Decide study · LegalBench396 · accuracy Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: 396 Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · LegalBench396 · class-balanced accuracy | 82.100% | Setup & sourceVals Mercury Decide study · LegalBench396 · class-balanced accuracy Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: 396 Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · Claims · ECE | 1.100 pp | Setup & sourceVals Mercury Decide study · Claims · ECE Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: 400 Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · LegalBench396 · ECE | 5.800 pp | Setup & sourceVals Mercury Decide study · LegalBench396 · ECE Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: 396 Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · Held-out claims · routing coverage at1%budget | 93.960% | Setup & sourceVals Mercury Decide study · Held-out claims · routing coverage at1%budget Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: 265 Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · Held-out claims · realized error at1%budget | 0.803% | Setup & sourceVals Mercury Decide study · Held-out claims · realized error at1%budget Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: 265 Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · Long document · 1judgments · median | 0.1590 s | Setup & sourceVals Mercury Decide study · Long document · 1judgments · median Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: Not published Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · Long document · 8judgments · median | 0.3068 s | Setup & sourceVals Mercury Decide study · Long document · 8judgments · median Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: Not published Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · Long document · 32judgments · median | 0.3774 s | Setup & sourceVals Mercury Decide study · Long document · 32judgments · median Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: Not published Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · Long document · 64judgments · median | 0.3992 s | Setup & sourceVals Mercury Decide study · Long document · 64judgments · median Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: Not published Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · Paired claim latency / Jev | 1.440 ratio | Setup & sourceVals Mercury Decide study · Paired claim latency / Jev Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: Not published Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Vals Mercury Decide study · Long document64judgments · estimated cost | 0.00220 USD/call | Setup & sourceVals Mercury Decide study · Long document64judgments · estimated cost Vals8October2026 Mercury Decide direct Inception API; no version pin; one call/item, no malformed-response retries; same fixed instructions/labels as Jev study. Claims400SEC10-K items from48companies; LegalBench12preregistered subtasks×33questions. Historical$0.021/M input tariff; costs are usage×listedprice, not verified invoices. Routing threshold fit on30%, frozen before held-out70% (265items). Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Primary chart data module decideStudy.CSyRc3i6.js, parsed as literals without executing source code. Source decimals retained. ECE is a native fraction converted to percentage points; no mixture with Brier or ModelTested confidence score. Served checkpoint SHA/run dates unpublished; study publication8October is not all call execution dates. Checked / reported: 2026-10-20 · Samples: Not published Snapshot: 2026-10-08 · Revision: 8October2026; decideStudy.CSyRc3i6.js · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
Independent · ModelTested
| Evaluation | Result | Evidence |
|---|---|---|
| ModelTested 56-case · All-case accuracy | 93.80% | Setup & sourceExact named hosted API observation; All-case accuracy. Exact OpenRouter inception/mercury-decide, runner1, Inception provider; per-case receipt dates11October2026. Executed weight SHA unknown. 56authored situations (19hard,14public,42hidden), each with2typed questions; score averages per-case accuracy. Confidence100×(1−mean multiclassBrier/2), not ECE. Rounded source cost0.0 is not a free tariff. 56 authored situations, including 19 hard cases, each with two typed questions; 14 public and 42 hidden cases. Source aggregate averages per-case decision accuracy. Confidence score is 100×(1−mean multiclass Brier/2), not ECE or a calibration probability. Small single-run benchmark; current HF access/size does not inherit this evaluator’s stale closed/API-only metadata. No tariff inferred from rounded cost 0.0. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11 · Samples: 56 Snapshot: 2026-10-18 · Revision: 081e8f37130a4a9077b8cffe62827d4c3b9e3b23 · Published aggregate observations; result reuse terms not separately specified Result source · Benchmark source |
| ModelTested 56-case · Hard-case accuracy | 89.50% | Setup & sourceExact named hosted API observation; Hard-case accuracy. Exact OpenRouter inception/mercury-decide, runner1, Inception provider; per-case receipt dates11October2026. Executed weight SHA unknown. 56authored situations (19hard,14public,42hidden), each with2typed questions; score averages per-case accuracy. Confidence100×(1−mean multiclassBrier/2), not ECE. Rounded source cost0.0 is not a free tariff. 56 authored situations, including 19 hard cases, each with two typed questions; 14 public and 42 hidden cases. Source aggregate averages per-case decision accuracy. Confidence score is 100×(1−mean multiclass Brier/2), not ECE or a calibration probability. Small single-run benchmark; current HF access/size does not inherit this evaluator’s stale closed/API-only metadata. No tariff inferred from rounded cost 0.0. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11 · Samples: 19 Snapshot: 2026-10-18 · Revision: 081e8f37130a4a9077b8cffe62827d4c3b9e3b23 · Published aggregate observations; result reuse terms not separately specified Result source · Benchmark source |
| ModelTested 56-case · Public-case accuracy | 96.40% | Setup & sourceExact named hosted API observation; Public-case accuracy. Exact OpenRouter inception/mercury-decide, runner1, Inception provider; per-case receipt dates11October2026. Executed weight SHA unknown. 56authored situations (19hard,14public,42hidden), each with2typed questions; score averages per-case accuracy. Confidence100×(1−mean multiclassBrier/2), not ECE. Rounded source cost0.0 is not a free tariff. 56 authored situations, including 19 hard cases, each with two typed questions; 14 public and 42 hidden cases. Source aggregate averages per-case decision accuracy. Confidence score is 100×(1−mean multiclass Brier/2), not ECE or a calibration probability. Small single-run benchmark; current HF access/size does not inherit this evaluator’s stale closed/API-only metadata. No tariff inferred from rounded cost 0.0. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11 · Samples: 14 Snapshot: 2026-10-18 · Revision: 081e8f37130a4a9077b8cffe62827d4c3b9e3b23 · Published aggregate observations; result reuse terms not separately specified Result source · Benchmark source |
| ModelTested 56-case · Hidden-case accuracy | 92.90% | Setup & sourceExact named hosted API observation; Hidden-case accuracy. Exact OpenRouter inception/mercury-decide, runner1, Inception provider; per-case receipt dates11October2026. Executed weight SHA unknown. 56authored situations (19hard,14public,42hidden), each with2typed questions; score averages per-case accuracy. Confidence100×(1−mean multiclassBrier/2), not ECE. Rounded source cost0.0 is not a free tariff. 56 authored situations, including 19 hard cases, each with two typed questions; 14 public and 42 hidden cases. Source aggregate averages per-case decision accuracy. Confidence score is 100×(1−mean multiclass Brier/2), not ECE or a calibration probability. Small single-run benchmark; current HF access/size does not inherit this evaluator’s stale closed/API-only metadata. No tariff inferred from rounded cost 0.0. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11 · Samples: 42 Snapshot: 2026-10-18 · Revision: 081e8f37130a4a9077b8cffe62827d4c3b9e3b23 · Published aggregate observations; result reuse terms not separately specified Result source · Benchmark source |
| ModelTested 56-case · Brier-based confidence score | 95.10 | Setup & sourceExact named hosted API observation; Brier-based confidence score. Exact OpenRouter inception/mercury-decide, runner1, Inception provider; per-case receipt dates11October2026. Executed weight SHA unknown. 56authored situations (19hard,14public,42hidden), each with2typed questions; score averages per-case accuracy. Confidence100×(1−mean multiclassBrier/2), not ECE. Rounded source cost0.0 is not a free tariff. 56 authored situations, including 19 hard cases, each with two typed questions; 14 public and 42 hidden cases. Source aggregate averages per-case decision accuracy. Confidence score is 100×(1−mean multiclass Brier/2), not ECE or a calibration probability. Small single-run benchmark; current HF access/size does not inherit this evaluator’s stale closed/API-only metadata. No tariff inferred from rounded cost 0.0. Checked / reported: 2026-10-20 · Evaluated: 2026-10-11 · Samples: 56 Snapshot: 2026-10-18 · Revision: 081e8f37130a4a9077b8cffe62827d4c3b9e3b23 · Published aggregate observations; result reuse terms not separately specified Result source · Benchmark source |
Evaluator-published · Benchmark Heaven
| Evaluation | Result | Evidence |
|---|---|---|
| Benchmark Heaven JevBench1.6.1 · calibration axis | 81.343 | Setup & sourceBenchmark Heaven JevBench1.6.1 · calibration axis Benchmark Heaven v1.6.1; measured_in=v1.6.1; named hosted inception/mercury-decide:free.1500decisions (300public+1200sealed); source identity {"model_pin": "provider-reported measurement model slug: inception/mercury-decide:free", "last_measured_on": "2026-10-07", "endpoint_condition": "measured 2026-10-07 on the live v1.6.0/v1.6.1 pool (inputs/input-selfhosted-1500.jsonl, sha256 901983ae...), COMPLETE: 1,500 of 1,500 dispatched, 1,477 answered, 23 invalid. Measured through the release lane's reviewed run_api_full_v161.py UNCHANGED, on Florian's 5 Oct amendment (hosted systems answer the same full S u P as self-hosted ones); provider inception, proxy openrouter, every sealed item exposure-logged before the first request. Florian work order of 6 Oct 2026 ('put it on JevBench', under https://x.com/airesearch12/status/2107569862486659111). NO MAPPING DECISION OF OURS: Mercury Decide publishes the same /v1/systemone contract as Jev and all three primitives come back in the canonical shape (noul a float; choice a label plus probabilities keyed by the item's own option labels; score probabilities keyed by level index '0'..'n-1' - 0-based, unlike ClassOne's), so the vendored typesafe adapter's request body, answer mapping and validations are reused UNCHANGED. or_decisions_r58.OpenRouterDecisionsAdapter rewrites ONLY the URL, because OpenRouter serves the contract at POST /api/alpha/decisions rather than /v1/systemone - its own 400 from chat/completions names that path - and it does so by calling the parent run(), so none of the reviewed mapping is duplicated. The pinned harness/vendor tree was NOT edited; the module is reached by PYTHONPATH. THE 23 LONG ITEMS: on this pool exactly 23 of 1,500 items are 77,857-82,318 tokens and the 24th largest is below 2,048 (run 57's own per-item counts on the identical pool, receipt LONGITEM-TOKENS-R58.json). They are also the 23 items the v1.6.1 cost rule excludes. THIS ROW REFUSES THEM: the context window is 32,768 tokens and all 23 came back as HTTP 422 with the provider's own 'upstream_error: Decision service could not complete the request' - a disclosed refusal, which the harness counts as the system's own rather than as an outage. The invalid set is EXACTLY those 23 and nothing else failed in 1,477 answers. RUN IN TWO PASSES BECAUSE OF A FREE-TIER BURST LIMIT, AND IT DOES NOT MOVE THE SPEED FIGURE: items 1-736 ran back to back at ~1.7 req/s until OpenRouter returned a header-less 429 ('rate_limit_exceeded: Request or spending limit exceeded'), which is run_v16's own stop rule; the row was resumed at 1 req/s and completed. The two passes' medians differ by 0.038 s (0.3624 s vs 0.3246 s over 1,477 answers; 0.3624 vs 0.3104 on the 124 items the Speed axis actually uses), and run_v16 sleeps the spacing BEFORE starting the timer, so the pacing is not in the measurement. Receipt LATENCY-SEGMENTS-mercury-R58.txt. Production API, so NO latency adjustment. Serial, one decision per request, no retry, no batching. add-requests run 58", "adapter_id": null, "measurement_date_status": "run output completion day (UTC)"} Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Checked / reported: 2026-10-20 · Samples: 1500 Snapshot: 2026-10-20 · Revision: v1.6.1; source_sha256=e15347783b8bedeeddd9017a831608a957f5bf0386f05902c50161ce0468f911 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Benchmark Heaven JevBench1.6.1 · cost axis (historical proxy estimate) | 62.083 | Setup & sourceBenchmark Heaven JevBench1.6.1 · cost axis (historical proxy estimate) Benchmark Heaven v1.6.1; measured_in=v1.6.1; named hosted inception/mercury-decide:free.1500decisions (300public+1200sealed); source identity {"model_pin": "provider-reported measurement model slug: inception/mercury-decide:free", "last_measured_on": "2026-10-07", "endpoint_condition": "measured 2026-10-07 on the live v1.6.0/v1.6.1 pool (inputs/input-selfhosted-1500.jsonl, sha256 901983ae...), COMPLETE: 1,500 of 1,500 dispatched, 1,477 answered, 23 invalid. Measured through the release lane's reviewed run_api_full_v161.py UNCHANGED, on Florian's 5 Oct amendment (hosted systems answer the same full S u P as self-hosted ones); provider inception, proxy openrouter, every sealed item exposure-logged before the first request. Florian work order of 6 Oct 2026 ('put it on JevBench', under https://x.com/airesearch12/status/2107569862486659111). NO MAPPING DECISION OF OURS: Mercury Decide publishes the same /v1/systemone contract as Jev and all three primitives come back in the canonical shape (noul a float; choice a label plus probabilities keyed by the item's own option labels; score probabilities keyed by level index '0'..'n-1' - 0-based, unlike ClassOne's), so the vendored typesafe adapter's request body, answer mapping and validations are reused UNCHANGED. or_decisions_r58.OpenRouterDecisionsAdapter rewrites ONLY the URL, because OpenRouter serves the contract at POST /api/alpha/decisions rather than /v1/systemone - its own 400 from chat/completions names that path - and it does so by calling the parent run(), so none of the reviewed mapping is duplicated. The pinned harness/vendor tree was NOT edited; the module is reached by PYTHONPATH. THE 23 LONG ITEMS: on this pool exactly 23 of 1,500 items are 77,857-82,318 tokens and the 24th largest is below 2,048 (run 57's own per-item counts on the identical pool, receipt LONGITEM-TOKENS-R58.json). They are also the 23 items the v1.6.1 cost rule excludes. THIS ROW REFUSES THEM: the context window is 32,768 tokens and all 23 came back as HTTP 422 with the provider's own 'upstream_error: Decision service could not complete the request' - a disclosed refusal, which the harness counts as the system's own rather than as an outage. The invalid set is EXACTLY those 23 and nothing else failed in 1,477 answers. RUN IN TWO PASSES BECAUSE OF A FREE-TIER BURST LIMIT, AND IT DOES NOT MOVE THE SPEED FIGURE: items 1-736 ran back to back at ~1.7 req/s until OpenRouter returned a header-less 429 ('rate_limit_exceeded: Request or spending limit exceeded'), which is run_v16's own stop rule; the row was resumed at 1 req/s and completed. The two passes' medians differ by 0.038 s (0.3624 s vs 0.3246 s over 1,477 answers; 0.3624 vs 0.3104 on the 124 items the Speed axis actually uses), and run_v16 sleeps the spacing BEFORE starting the timer, so the pacing is not in the measurement. Receipt LATENCY-SEGMENTS-mercury-R58.txt. Production API, so NO latency adjustment. Serial, one decision per request, no retry, no batching. add-requests run 58", "adapter_id": null, "measurement_date_status": "run output completion day (UTC)"} Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Checked / reported: 2026-10-20 · Samples: 1500 Snapshot: 2026-10-20 · Revision: v1.6.1; source_sha256=e15347783b8bedeeddd9017a831608a957f5bf0386f05902c50161ce0468f911 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Benchmark Heaven JevBench1.6.1 · intelligence axis | 65.907 | Setup & sourceBenchmark Heaven JevBench1.6.1 · intelligence axis Benchmark Heaven v1.6.1; measured_in=v1.6.1; named hosted inception/mercury-decide:free.1500decisions (300public+1200sealed); source identity {"model_pin": "provider-reported measurement model slug: inception/mercury-decide:free", "last_measured_on": "2026-10-07", "endpoint_condition": "measured 2026-10-07 on the live v1.6.0/v1.6.1 pool (inputs/input-selfhosted-1500.jsonl, sha256 901983ae...), COMPLETE: 1,500 of 1,500 dispatched, 1,477 answered, 23 invalid. Measured through the release lane's reviewed run_api_full_v161.py UNCHANGED, on Florian's 5 Oct amendment (hosted systems answer the same full S u P as self-hosted ones); provider inception, proxy openrouter, every sealed item exposure-logged before the first request. Florian work order of 6 Oct 2026 ('put it on JevBench', under https://x.com/airesearch12/status/2107569862486659111). NO MAPPING DECISION OF OURS: Mercury Decide publishes the same /v1/systemone contract as Jev and all three primitives come back in the canonical shape (noul a float; choice a label plus probabilities keyed by the item's own option labels; score probabilities keyed by level index '0'..'n-1' - 0-based, unlike ClassOne's), so the vendored typesafe adapter's request body, answer mapping and validations are reused UNCHANGED. or_decisions_r58.OpenRouterDecisionsAdapter rewrites ONLY the URL, because OpenRouter serves the contract at POST /api/alpha/decisions rather than /v1/systemone - its own 400 from chat/completions names that path - and it does so by calling the parent run(), so none of the reviewed mapping is duplicated. The pinned harness/vendor tree was NOT edited; the module is reached by PYTHONPATH. THE 23 LONG ITEMS: on this pool exactly 23 of 1,500 items are 77,857-82,318 tokens and the 24th largest is below 2,048 (run 57's own per-item counts on the identical pool, receipt LONGITEM-TOKENS-R58.json). They are also the 23 items the v1.6.1 cost rule excludes. THIS ROW REFUSES THEM: the context window is 32,768 tokens and all 23 came back as HTTP 422 with the provider's own 'upstream_error: Decision service could not complete the request' - a disclosed refusal, which the harness counts as the system's own rather than as an outage. The invalid set is EXACTLY those 23 and nothing else failed in 1,477 answers. RUN IN TWO PASSES BECAUSE OF A FREE-TIER BURST LIMIT, AND IT DOES NOT MOVE THE SPEED FIGURE: items 1-736 ran back to back at ~1.7 req/s until OpenRouter returned a header-less 429 ('rate_limit_exceeded: Request or spending limit exceeded'), which is run_v16's own stop rule; the row was resumed at 1 req/s and completed. The two passes' medians differ by 0.038 s (0.3624 s vs 0.3246 s over 1,477 answers; 0.3624 vs 0.3104 on the 124 items the Speed axis actually uses), and run_v16 sleeps the spacing BEFORE starting the timer, so the pacing is not in the measurement. Receipt LATENCY-SEGMENTS-mercury-R58.txt. Production API, so NO latency adjustment. Serial, one decision per request, no retry, no batching. add-requests run 58", "adapter_id": null, "measurement_date_status": "run output completion day (UTC)"} Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Checked / reported: 2026-10-20 · Samples: 1500 Snapshot: 2026-10-20 · Revision: v1.6.1; source_sha256=e15347783b8bedeeddd9017a831608a957f5bf0386f05902c50161ce0468f911 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Benchmark Heaven JevBench1.6.1 · speed axis | 85.478 | Setup & sourceBenchmark Heaven JevBench1.6.1 · speed axis Benchmark Heaven v1.6.1; measured_in=v1.6.1; named hosted inception/mercury-decide:free.1500decisions (300public+1200sealed); source identity {"model_pin": "provider-reported measurement model slug: inception/mercury-decide:free", "last_measured_on": "2026-10-07", "endpoint_condition": "measured 2026-10-07 on the live v1.6.0/v1.6.1 pool (inputs/input-selfhosted-1500.jsonl, sha256 901983ae...), COMPLETE: 1,500 of 1,500 dispatched, 1,477 answered, 23 invalid. Measured through the release lane's reviewed run_api_full_v161.py UNCHANGED, on Florian's 5 Oct amendment (hosted systems answer the same full S u P as self-hosted ones); provider inception, proxy openrouter, every sealed item exposure-logged before the first request. Florian work order of 6 Oct 2026 ('put it on JevBench', under https://x.com/airesearch12/status/2107569862486659111). NO MAPPING DECISION OF OURS: Mercury Decide publishes the same /v1/systemone contract as Jev and all three primitives come back in the canonical shape (noul a float; choice a label plus probabilities keyed by the item's own option labels; score probabilities keyed by level index '0'..'n-1' - 0-based, unlike ClassOne's), so the vendored typesafe adapter's request body, answer mapping and validations are reused UNCHANGED. or_decisions_r58.OpenRouterDecisionsAdapter rewrites ONLY the URL, because OpenRouter serves the contract at POST /api/alpha/decisions rather than /v1/systemone - its own 400 from chat/completions names that path - and it does so by calling the parent run(), so none of the reviewed mapping is duplicated. The pinned harness/vendor tree was NOT edited; the module is reached by PYTHONPATH. THE 23 LONG ITEMS: on this pool exactly 23 of 1,500 items are 77,857-82,318 tokens and the 24th largest is below 2,048 (run 57's own per-item counts on the identical pool, receipt LONGITEM-TOKENS-R58.json). They are also the 23 items the v1.6.1 cost rule excludes. THIS ROW REFUSES THEM: the context window is 32,768 tokens and all 23 came back as HTTP 422 with the provider's own 'upstream_error: Decision service could not complete the request' - a disclosed refusal, which the harness counts as the system's own rather than as an outage. The invalid set is EXACTLY those 23 and nothing else failed in 1,477 answers. RUN IN TWO PASSES BECAUSE OF A FREE-TIER BURST LIMIT, AND IT DOES NOT MOVE THE SPEED FIGURE: items 1-736 ran back to back at ~1.7 req/s until OpenRouter returned a header-less 429 ('rate_limit_exceeded: Request or spending limit exceeded'), which is run_v16's own stop rule; the row was resumed at 1 req/s and completed. The two passes' medians differ by 0.038 s (0.3624 s vs 0.3246 s over 1,477 answers; 0.3624 vs 0.3104 on the 124 items the Speed axis actually uses), and run_v16 sleeps the spacing BEFORE starting the timer, so the pacing is not in the measurement. Receipt LATENCY-SEGMENTS-mercury-R58.txt. Production API, so NO latency adjustment. Serial, one decision per request, no retry, no batching. add-requests run 58", "adapter_id": null, "measurement_date_status": "run output completion day (UTC)"} Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Checked / reported: 2026-10-20 · Samples: 1500 Snapshot: 2026-10-20 · Revision: v1.6.1; source_sha256=e15347783b8bedeeddd9017a831608a957f5bf0386f05902c50161ce0468f911 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Benchmark Heaven JevBench1.6.1 · Capability | 73.625 | Setup & sourceBenchmark Heaven JevBench1.6.1 · Capability Benchmark Heaven v1.6.1; measured_in=v1.6.1; named hosted inception/mercury-decide:free.1500decisions (300public+1200sealed); source identity {"model_pin": "provider-reported measurement model slug: inception/mercury-decide:free", "last_measured_on": "2026-10-07", "endpoint_condition": "measured 2026-10-07 on the live v1.6.0/v1.6.1 pool (inputs/input-selfhosted-1500.jsonl, sha256 901983ae...), COMPLETE: 1,500 of 1,500 dispatched, 1,477 answered, 23 invalid. Measured through the release lane's reviewed run_api_full_v161.py UNCHANGED, on Florian's 5 Oct amendment (hosted systems answer the same full S u P as self-hosted ones); provider inception, proxy openrouter, every sealed item exposure-logged before the first request. Florian work order of 6 Oct 2026 ('put it on JevBench', under https://x.com/airesearch12/status/2107569862486659111). NO MAPPING DECISION OF OURS: Mercury Decide publishes the same /v1/systemone contract as Jev and all three primitives come back in the canonical shape (noul a float; choice a label plus probabilities keyed by the item's own option labels; score probabilities keyed by level index '0'..'n-1' - 0-based, unlike ClassOne's), so the vendored typesafe adapter's request body, answer mapping and validations are reused UNCHANGED. or_decisions_r58.OpenRouterDecisionsAdapter rewrites ONLY the URL, because OpenRouter serves the contract at POST /api/alpha/decisions rather than /v1/systemone - its own 400 from chat/completions names that path - and it does so by calling the parent run(), so none of the reviewed mapping is duplicated. The pinned harness/vendor tree was NOT edited; the module is reached by PYTHONPATH. THE 23 LONG ITEMS: on this pool exactly 23 of 1,500 items are 77,857-82,318 tokens and the 24th largest is below 2,048 (run 57's own per-item counts on the identical pool, receipt LONGITEM-TOKENS-R58.json). They are also the 23 items the v1.6.1 cost rule excludes. THIS ROW REFUSES THEM: the context window is 32,768 tokens and all 23 came back as HTTP 422 with the provider's own 'upstream_error: Decision service could not complete the request' - a disclosed refusal, which the harness counts as the system's own rather than as an outage. The invalid set is EXACTLY those 23 and nothing else failed in 1,477 answers. RUN IN TWO PASSES BECAUSE OF A FREE-TIER BURST LIMIT, AND IT DOES NOT MOVE THE SPEED FIGURE: items 1-736 ran back to back at ~1.7 req/s until OpenRouter returned a header-less 429 ('rate_limit_exceeded: Request or spending limit exceeded'), which is run_v16's own stop rule; the row was resumed at 1 req/s and completed. The two passes' medians differ by 0.038 s (0.3624 s vs 0.3246 s over 1,477 answers; 0.3624 vs 0.3104 on the 124 items the Speed axis actually uses), and run_v16 sleeps the spacing BEFORE starting the timer, so the pacing is not in the measurement. Receipt LATENCY-SEGMENTS-mercury-R58.txt. Production API, so NO latency adjustment. Serial, one decision per request, no retry, no batching. add-requests run 58", "adapter_id": null, "measurement_date_status": "run output completion day (UTC)"} Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Checked / reported: 2026-10-20 · Samples: 1500 Snapshot: 2026-10-20 · Revision: v1.6.1; source_sha256=e15347783b8bedeeddd9017a831608a957f5bf0386f05902c50161ce0468f911 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Benchmark Heaven JevBench1.6.1 · Four-axis composite (estimated-cost component) | 72.368 | Setup & sourceBenchmark Heaven JevBench1.6.1 · Four-axis composite (estimated-cost component) Benchmark Heaven v1.6.1; measured_in=v1.6.1; named hosted inception/mercury-decide:free.1500decisions (300public+1200sealed); source identity {"model_pin": "provider-reported measurement model slug: inception/mercury-decide:free", "last_measured_on": "2026-10-07", "endpoint_condition": "measured 2026-10-07 on the live v1.6.0/v1.6.1 pool (inputs/input-selfhosted-1500.jsonl, sha256 901983ae...), COMPLETE: 1,500 of 1,500 dispatched, 1,477 answered, 23 invalid. Measured through the release lane's reviewed run_api_full_v161.py UNCHANGED, on Florian's 5 Oct amendment (hosted systems answer the same full S u P as self-hosted ones); provider inception, proxy openrouter, every sealed item exposure-logged before the first request. Florian work order of 6 Oct 2026 ('put it on JevBench', under https://x.com/airesearch12/status/2107569862486659111). NO MAPPING DECISION OF OURS: Mercury Decide publishes the same /v1/systemone contract as Jev and all three primitives come back in the canonical shape (noul a float; choice a label plus probabilities keyed by the item's own option labels; score probabilities keyed by level index '0'..'n-1' - 0-based, unlike ClassOne's), so the vendored typesafe adapter's request body, answer mapping and validations are reused UNCHANGED. or_decisions_r58.OpenRouterDecisionsAdapter rewrites ONLY the URL, because OpenRouter serves the contract at POST /api/alpha/decisions rather than /v1/systemone - its own 400 from chat/completions names that path - and it does so by calling the parent run(), so none of the reviewed mapping is duplicated. The pinned harness/vendor tree was NOT edited; the module is reached by PYTHONPATH. THE 23 LONG ITEMS: on this pool exactly 23 of 1,500 items are 77,857-82,318 tokens and the 24th largest is below 2,048 (run 57's own per-item counts on the identical pool, receipt LONGITEM-TOKENS-R58.json). They are also the 23 items the v1.6.1 cost rule excludes. THIS ROW REFUSES THEM: the context window is 32,768 tokens and all 23 came back as HTTP 422 with the provider's own 'upstream_error: Decision service could not complete the request' - a disclosed refusal, which the harness counts as the system's own rather than as an outage. The invalid set is EXACTLY those 23 and nothing else failed in 1,477 answers. RUN IN TWO PASSES BECAUSE OF A FREE-TIER BURST LIMIT, AND IT DOES NOT MOVE THE SPEED FIGURE: items 1-736 ran back to back at ~1.7 req/s until OpenRouter returned a header-less 429 ('rate_limit_exceeded: Request or spending limit exceeded'), which is run_v16's own stop rule; the row was resumed at 1 req/s and completed. The two passes' medians differ by 0.038 s (0.3624 s vs 0.3246 s over 1,477 answers; 0.3624 vs 0.3104 on the 124 items the Speed axis actually uses), and run_v16 sleeps the spacing BEFORE starting the timer, so the pacing is not in the measurement. Receipt LATENCY-SEGMENTS-mercury-R58.txt. Production API, so NO latency adjustment. Serial, one decision per request, no retry, no batching. add-requests run 58", "adapter_id": null, "measurement_date_status": "run output completion day (UTC)"} Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Checked / reported: 2026-10-20 · Samples: 1500 Snapshot: 2026-10-20 · Revision: v1.6.1; source_sha256=e15347783b8bedeeddd9017a831608a957f5bf0386f05902c50161ce0468f911 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Benchmark Heaven JevBench1.6.1 · I_open | 67.129 | Setup & sourceBenchmark Heaven JevBench1.6.1 · I_open Benchmark Heaven v1.6.1; measured_in=v1.6.1; named hosted inception/mercury-decide:free.1500decisions (300public+1200sealed); source identity {"model_pin": "provider-reported measurement model slug: inception/mercury-decide:free", "last_measured_on": "2026-10-07", "endpoint_condition": "measured 2026-10-07 on the live v1.6.0/v1.6.1 pool (inputs/input-selfhosted-1500.jsonl, sha256 901983ae...), COMPLETE: 1,500 of 1,500 dispatched, 1,477 answered, 23 invalid. Measured through the release lane's reviewed run_api_full_v161.py UNCHANGED, on Florian's 5 Oct amendment (hosted systems answer the same full S u P as self-hosted ones); provider inception, proxy openrouter, every sealed item exposure-logged before the first request. Florian work order of 6 Oct 2026 ('put it on JevBench', under https://x.com/airesearch12/status/2107569862486659111). NO MAPPING DECISION OF OURS: Mercury Decide publishes the same /v1/systemone contract as Jev and all three primitives come back in the canonical shape (noul a float; choice a label plus probabilities keyed by the item's own option labels; score probabilities keyed by level index '0'..'n-1' - 0-based, unlike ClassOne's), so the vendored typesafe adapter's request body, answer mapping and validations are reused UNCHANGED. or_decisions_r58.OpenRouterDecisionsAdapter rewrites ONLY the URL, because OpenRouter serves the contract at POST /api/alpha/decisions rather than /v1/systemone - its own 400 from chat/completions names that path - and it does so by calling the parent run(), so none of the reviewed mapping is duplicated. The pinned harness/vendor tree was NOT edited; the module is reached by PYTHONPATH. THE 23 LONG ITEMS: on this pool exactly 23 of 1,500 items are 77,857-82,318 tokens and the 24th largest is below 2,048 (run 57's own per-item counts on the identical pool, receipt LONGITEM-TOKENS-R58.json). They are also the 23 items the v1.6.1 cost rule excludes. THIS ROW REFUSES THEM: the context window is 32,768 tokens and all 23 came back as HTTP 422 with the provider's own 'upstream_error: Decision service could not complete the request' - a disclosed refusal, which the harness counts as the system's own rather than as an outage. The invalid set is EXACTLY those 23 and nothing else failed in 1,477 answers. RUN IN TWO PASSES BECAUSE OF A FREE-TIER BURST LIMIT, AND IT DOES NOT MOVE THE SPEED FIGURE: items 1-736 ran back to back at ~1.7 req/s until OpenRouter returned a header-less 429 ('rate_limit_exceeded: Request or spending limit exceeded'), which is run_v16's own stop rule; the row was resumed at 1 req/s and completed. The two passes' medians differ by 0.038 s (0.3624 s vs 0.3246 s over 1,477 answers; 0.3624 vs 0.3104 on the 124 items the Speed axis actually uses), and run_v16 sleeps the spacing BEFORE starting the timer, so the pacing is not in the measurement. Receipt LATENCY-SEGMENTS-mercury-R58.txt. Production API, so NO latency adjustment. Serial, one decision per request, no retry, no batching. add-requests run 58", "adapter_id": null, "measurement_date_status": "run output completion day (UTC)"} Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Checked / reported: 2026-10-20 · Samples: 300 Snapshot: 2026-10-20 · Revision: v1.6.1; source_sha256=e15347783b8bedeeddd9017a831608a957f5bf0386f05902c50161ce0468f911 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Benchmark Heaven JevBench1.6.1 · I_sealed | 64.685 | Setup & sourceBenchmark Heaven JevBench1.6.1 · I_sealed Benchmark Heaven v1.6.1; measured_in=v1.6.1; named hosted inception/mercury-decide:free.1500decisions (300public+1200sealed); source identity {"model_pin": "provider-reported measurement model slug: inception/mercury-decide:free", "last_measured_on": "2026-10-07", "endpoint_condition": "measured 2026-10-07 on the live v1.6.0/v1.6.1 pool (inputs/input-selfhosted-1500.jsonl, sha256 901983ae...), COMPLETE: 1,500 of 1,500 dispatched, 1,477 answered, 23 invalid. Measured through the release lane's reviewed run_api_full_v161.py UNCHANGED, on Florian's 5 Oct amendment (hosted systems answer the same full S u P as self-hosted ones); provider inception, proxy openrouter, every sealed item exposure-logged before the first request. Florian work order of 6 Oct 2026 ('put it on JevBench', under https://x.com/airesearch12/status/2107569862486659111). NO MAPPING DECISION OF OURS: Mercury Decide publishes the same /v1/systemone contract as Jev and all three primitives come back in the canonical shape (noul a float; choice a label plus probabilities keyed by the item's own option labels; score probabilities keyed by level index '0'..'n-1' - 0-based, unlike ClassOne's), so the vendored typesafe adapter's request body, answer mapping and validations are reused UNCHANGED. or_decisions_r58.OpenRouterDecisionsAdapter rewrites ONLY the URL, because OpenRouter serves the contract at POST /api/alpha/decisions rather than /v1/systemone - its own 400 from chat/completions names that path - and it does so by calling the parent run(), so none of the reviewed mapping is duplicated. The pinned harness/vendor tree was NOT edited; the module is reached by PYTHONPATH. THE 23 LONG ITEMS: on this pool exactly 23 of 1,500 items are 77,857-82,318 tokens and the 24th largest is below 2,048 (run 57's own per-item counts on the identical pool, receipt LONGITEM-TOKENS-R58.json). They are also the 23 items the v1.6.1 cost rule excludes. THIS ROW REFUSES THEM: the context window is 32,768 tokens and all 23 came back as HTTP 422 with the provider's own 'upstream_error: Decision service could not complete the request' - a disclosed refusal, which the harness counts as the system's own rather than as an outage. The invalid set is EXACTLY those 23 and nothing else failed in 1,477 answers. RUN IN TWO PASSES BECAUSE OF A FREE-TIER BURST LIMIT, AND IT DOES NOT MOVE THE SPEED FIGURE: items 1-736 ran back to back at ~1.7 req/s until OpenRouter returned a header-less 429 ('rate_limit_exceeded: Request or spending limit exceeded'), which is run_v16's own stop rule; the row was resumed at 1 req/s and completed. The two passes' medians differ by 0.038 s (0.3624 s vs 0.3246 s over 1,477 answers; 0.3624 vs 0.3104 on the 124 items the Speed axis actually uses), and run_v16 sleeps the spacing BEFORE starting the timer, so the pacing is not in the measurement. Receipt LATENCY-SEGMENTS-mercury-R58.txt. Production API, so NO latency adjustment. Serial, one decision per request, no retry, no batching. add-requests run 58", "adapter_id": null, "measurement_date_status": "run output completion day (UTC)"} Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Checked / reported: 2026-10-20 · Samples: 1200 Snapshot: 2026-10-20 · Revision: v1.6.1; source_sha256=e15347783b8bedeeddd9017a831608a957f5bf0386f05902c50161ce0468f911 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Benchmark Heaven JevBench1.6.1 · gap | 2.444 pp | Setup & sourceBenchmark Heaven JevBench1.6.1 · gap Benchmark Heaven v1.6.1; measured_in=v1.6.1; named hosted inception/mercury-decide:free.1500decisions (300public+1200sealed); source identity {"model_pin": "provider-reported measurement model slug: inception/mercury-decide:free", "last_measured_on": "2026-10-07", "endpoint_condition": "measured 2026-10-07 on the live v1.6.0/v1.6.1 pool (inputs/input-selfhosted-1500.jsonl, sha256 901983ae...), COMPLETE: 1,500 of 1,500 dispatched, 1,477 answered, 23 invalid. Measured through the release lane's reviewed run_api_full_v161.py UNCHANGED, on Florian's 5 Oct amendment (hosted systems answer the same full S u P as self-hosted ones); provider inception, proxy openrouter, every sealed item exposure-logged before the first request. Florian work order of 6 Oct 2026 ('put it on JevBench', under https://x.com/airesearch12/status/2107569862486659111). NO MAPPING DECISION OF OURS: Mercury Decide publishes the same /v1/systemone contract as Jev and all three primitives come back in the canonical shape (noul a float; choice a label plus probabilities keyed by the item's own option labels; score probabilities keyed by level index '0'..'n-1' - 0-based, unlike ClassOne's), so the vendored typesafe adapter's request body, answer mapping and validations are reused UNCHANGED. or_decisions_r58.OpenRouterDecisionsAdapter rewrites ONLY the URL, because OpenRouter serves the contract at POST /api/alpha/decisions rather than /v1/systemone - its own 400 from chat/completions names that path - and it does so by calling the parent run(), so none of the reviewed mapping is duplicated. The pinned harness/vendor tree was NOT edited; the module is reached by PYTHONPATH. THE 23 LONG ITEMS: on this pool exactly 23 of 1,500 items are 77,857-82,318 tokens and the 24th largest is below 2,048 (run 57's own per-item counts on the identical pool, receipt LONGITEM-TOKENS-R58.json). They are also the 23 items the v1.6.1 cost rule excludes. THIS ROW REFUSES THEM: the context window is 32,768 tokens and all 23 came back as HTTP 422 with the provider's own 'upstream_error: Decision service could not complete the request' - a disclosed refusal, which the harness counts as the system's own rather than as an outage. The invalid set is EXACTLY those 23 and nothing else failed in 1,477 answers. RUN IN TWO PASSES BECAUSE OF A FREE-TIER BURST LIMIT, AND IT DOES NOT MOVE THE SPEED FIGURE: items 1-736 ran back to back at ~1.7 req/s until OpenRouter returned a header-less 429 ('rate_limit_exceeded: Request or spending limit exceeded'), which is run_v16's own stop rule; the row was resumed at 1 req/s and completed. The two passes' medians differ by 0.038 s (0.3624 s vs 0.3246 s over 1,477 answers; 0.3624 vs 0.3104 on the 124 items the Speed axis actually uses), and run_v16 sleeps the spacing BEFORE starting the timer, so the pacing is not in the measurement. Receipt LATENCY-SEGMENTS-mercury-R58.txt. Production API, so NO latency adjustment. Serial, one decision per request, no retry, no batching. add-requests run 58", "adapter_id": null, "measurement_date_status": "run output completion day (UTC)"} Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Checked / reported: 2026-10-20 · Samples: 1500 Snapshot: 2026-10-20 · Revision: v1.6.1; source_sha256=e15347783b8bedeeddd9017a831608a957f5bf0386f05902c50161ce0468f911 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Benchmark Heaven JevBench1.6.1 · Calibration · choice · score | 77.909 | Setup & sourceBenchmark Heaven JevBench1.6.1 · Calibration · choice · score Benchmark Heaven v1.6.1; measured_in=v1.6.1; named hosted inception/mercury-decide:free.1500decisions (300public+1200sealed); source identity {"model_pin": "provider-reported measurement model slug: inception/mercury-decide:free", "last_measured_on": "2026-10-07", "endpoint_condition": "measured 2026-10-07 on the live v1.6.0/v1.6.1 pool (inputs/input-selfhosted-1500.jsonl, sha256 901983ae...), COMPLETE: 1,500 of 1,500 dispatched, 1,477 answered, 23 invalid. Measured through the release lane's reviewed run_api_full_v161.py UNCHANGED, on Florian's 5 Oct amendment (hosted systems answer the same full S u P as self-hosted ones); provider inception, proxy openrouter, every sealed item exposure-logged before the first request. Florian work order of 6 Oct 2026 ('put it on JevBench', under https://x.com/airesearch12/status/2107569862486659111). NO MAPPING DECISION OF OURS: Mercury Decide publishes the same /v1/systemone contract as Jev and all three primitives come back in the canonical shape (noul a float; choice a label plus probabilities keyed by the item's own option labels; score probabilities keyed by level index '0'..'n-1' - 0-based, unlike ClassOne's), so the vendored typesafe adapter's request body, answer mapping and validations are reused UNCHANGED. or_decisions_r58.OpenRouterDecisionsAdapter rewrites ONLY the URL, because OpenRouter serves the contract at POST /api/alpha/decisions rather than /v1/systemone - its own 400 from chat/completions names that path - and it does so by calling the parent run(), so none of the reviewed mapping is duplicated. The pinned harness/vendor tree was NOT edited; the module is reached by PYTHONPATH. THE 23 LONG ITEMS: on this pool exactly 23 of 1,500 items are 77,857-82,318 tokens and the 24th largest is below 2,048 (run 57's own per-item counts on the identical pool, receipt LONGITEM-TOKENS-R58.json). They are also the 23 items the v1.6.1 cost rule excludes. THIS ROW REFUSES THEM: the context window is 32,768 tokens and all 23 came back as HTTP 422 with the provider's own 'upstream_error: Decision service could not complete the request' - a disclosed refusal, which the harness counts as the system's own rather than as an outage. The invalid set is EXACTLY those 23 and nothing else failed in 1,477 answers. RUN IN TWO PASSES BECAUSE OF A FREE-TIER BURST LIMIT, AND IT DOES NOT MOVE THE SPEED FIGURE: items 1-736 ran back to back at ~1.7 req/s until OpenRouter returned a header-less 429 ('rate_limit_exceeded: Request or spending limit exceeded'), which is run_v16's own stop rule; the row was resumed at 1 req/s and completed. The two passes' medians differ by 0.038 s (0.3624 s vs 0.3246 s over 1,477 answers; 0.3624 vs 0.3104 on the 124 items the Speed axis actually uses), and run_v16 sleeps the spacing BEFORE starting the timer, so the pacing is not in the measurement. Receipt LATENCY-SEGMENTS-mercury-R58.txt. Production API, so NO latency adjustment. Serial, one decision per request, no retry, no batching. add-requests run 58", "adapter_id": null, "measurement_date_status": "run output completion day (UTC)"} Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Checked / reported: 2026-10-20 · Samples: 737 Snapshot: 2026-10-20 · Revision: v1.6.1; source_sha256=e15347783b8bedeeddd9017a831608a957f5bf0386f05902c50161ce0468f911 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Benchmark Heaven JevBench1.6.1 · Calibration · choice · ece_hard | 11.045 pp | Setup & sourceBenchmark Heaven JevBench1.6.1 · Calibration · choice · ece_hard Benchmark Heaven v1.6.1; measured_in=v1.6.1; named hosted inception/mercury-decide:free.1500decisions (300public+1200sealed); source identity {"model_pin": "provider-reported measurement model slug: inception/mercury-decide:free", "last_measured_on": "2026-10-07", "endpoint_condition": "measured 2026-10-07 on the live v1.6.0/v1.6.1 pool (inputs/input-selfhosted-1500.jsonl, sha256 901983ae...), COMPLETE: 1,500 of 1,500 dispatched, 1,477 answered, 23 invalid. Measured through the release lane's reviewed run_api_full_v161.py UNCHANGED, on Florian's 5 Oct amendment (hosted systems answer the same full S u P as self-hosted ones); provider inception, proxy openrouter, every sealed item exposure-logged before the first request. Florian work order of 6 Oct 2026 ('put it on JevBench', under https://x.com/airesearch12/status/2107569862486659111). NO MAPPING DECISION OF OURS: Mercury Decide publishes the same /v1/systemone contract as Jev and all three primitives come back in the canonical shape (noul a float; choice a label plus probabilities keyed by the item's own option labels; score probabilities keyed by level index '0'..'n-1' - 0-based, unlike ClassOne's), so the vendored typesafe adapter's request body, answer mapping and validations are reused UNCHANGED. or_decisions_r58.OpenRouterDecisionsAdapter rewrites ONLY the URL, because OpenRouter serves the contract at POST /api/alpha/decisions rather than /v1/systemone - its own 400 from chat/completions names that path - and it does so by calling the parent run(), so none of the reviewed mapping is duplicated. The pinned harness/vendor tree was NOT edited; the module is reached by PYTHONPATH. THE 23 LONG ITEMS: on this pool exactly 23 of 1,500 items are 77,857-82,318 tokens and the 24th largest is below 2,048 (run 57's own per-item counts on the identical pool, receipt LONGITEM-TOKENS-R58.json). They are also the 23 items the v1.6.1 cost rule excludes. THIS ROW REFUSES THEM: the context window is 32,768 tokens and all 23 came back as HTTP 422 with the provider's own 'upstream_error: Decision service could not complete the request' - a disclosed refusal, which the harness counts as the system's own rather than as an outage. The invalid set is EXACTLY those 23 and nothing else failed in 1,477 answers. RUN IN TWO PASSES BECAUSE OF A FREE-TIER BURST LIMIT, AND IT DOES NOT MOVE THE SPEED FIGURE: items 1-736 ran back to back at ~1.7 req/s until OpenRouter returned a header-less 429 ('rate_limit_exceeded: Request or spending limit exceeded'), which is run_v16's own stop rule; the row was resumed at 1 req/s and completed. The two passes' medians differ by 0.038 s (0.3624 s vs 0.3246 s over 1,477 answers; 0.3624 vs 0.3104 on the 124 items the Speed axis actually uses), and run_v16 sleeps the spacing BEFORE starting the timer, so the pacing is not in the measurement. Receipt LATENCY-SEGMENTS-mercury-R58.txt. Production API, so NO latency adjustment. Serial, one decision per request, no retry, no batching. add-requests run 58", "adapter_id": null, "measurement_date_status": "run output completion day (UTC)"} Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Checked / reported: 2026-10-20 · Samples: 737 Snapshot: 2026-10-20 · Revision: v1.6.1; source_sha256=e15347783b8bedeeddd9017a831608a957f5bf0386f05902c50161ce0468f911 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Benchmark Heaven JevBench1.6.1 · Calibration · noul · score | 82.372 | Setup & sourceBenchmark Heaven JevBench1.6.1 · Calibration · noul · score Benchmark Heaven v1.6.1; measured_in=v1.6.1; named hosted inception/mercury-decide:free.1500decisions (300public+1200sealed); source identity {"model_pin": "provider-reported measurement model slug: inception/mercury-decide:free", "last_measured_on": "2026-10-07", "endpoint_condition": "measured 2026-10-07 on the live v1.6.0/v1.6.1 pool (inputs/input-selfhosted-1500.jsonl, sha256 901983ae...), COMPLETE: 1,500 of 1,500 dispatched, 1,477 answered, 23 invalid. Measured through the release lane's reviewed run_api_full_v161.py UNCHANGED, on Florian's 5 Oct amendment (hosted systems answer the same full S u P as self-hosted ones); provider inception, proxy openrouter, every sealed item exposure-logged before the first request. Florian work order of 6 Oct 2026 ('put it on JevBench', under https://x.com/airesearch12/status/2107569862486659111). NO MAPPING DECISION OF OURS: Mercury Decide publishes the same /v1/systemone contract as Jev and all three primitives come back in the canonical shape (noul a float; choice a label plus probabilities keyed by the item's own option labels; score probabilities keyed by level index '0'..'n-1' - 0-based, unlike ClassOne's), so the vendored typesafe adapter's request body, answer mapping and validations are reused UNCHANGED. or_decisions_r58.OpenRouterDecisionsAdapter rewrites ONLY the URL, because OpenRouter serves the contract at POST /api/alpha/decisions rather than /v1/systemone - its own 400 from chat/completions names that path - and it does so by calling the parent run(), so none of the reviewed mapping is duplicated. The pinned harness/vendor tree was NOT edited; the module is reached by PYTHONPATH. THE 23 LONG ITEMS: on this pool exactly 23 of 1,500 items are 77,857-82,318 tokens and the 24th largest is below 2,048 (run 57's own per-item counts on the identical pool, receipt LONGITEM-TOKENS-R58.json). They are also the 23 items the v1.6.1 cost rule excludes. THIS ROW REFUSES THEM: the context window is 32,768 tokens and all 23 came back as HTTP 422 with the provider's own 'upstream_error: Decision service could not complete the request' - a disclosed refusal, which the harness counts as the system's own rather than as an outage. The invalid set is EXACTLY those 23 and nothing else failed in 1,477 answers. RUN IN TWO PASSES BECAUSE OF A FREE-TIER BURST LIMIT, AND IT DOES NOT MOVE THE SPEED FIGURE: items 1-736 ran back to back at ~1.7 req/s until OpenRouter returned a header-less 429 ('rate_limit_exceeded: Request or spending limit exceeded'), which is run_v16's own stop rule; the row was resumed at 1 req/s and completed. The two passes' medians differ by 0.038 s (0.3624 s vs 0.3246 s over 1,477 answers; 0.3624 vs 0.3104 on the 124 items the Speed axis actually uses), and run_v16 sleeps the spacing BEFORE starting the timer, so the pacing is not in the measurement. Receipt LATENCY-SEGMENTS-mercury-R58.txt. Production API, so NO latency adjustment. Serial, one decision per request, no retry, no batching. add-requests run 58", "adapter_id": null, "measurement_date_status": "run output completion day (UTC)"} Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Checked / reported: 2026-10-20 · Samples: 371 Snapshot: 2026-10-20 · Revision: v1.6.1; source_sha256=e15347783b8bedeeddd9017a831608a957f5bf0386f05902c50161ce0468f911 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Benchmark Heaven JevBench1.6.1 · Calibration · noul · brier | 0.101512 Brier | Setup & sourceBenchmark Heaven JevBench1.6.1 · Calibration · noul · brier Benchmark Heaven v1.6.1; measured_in=v1.6.1; named hosted inception/mercury-decide:free.1500decisions (300public+1200sealed); source identity {"model_pin": "provider-reported measurement model slug: inception/mercury-decide:free", "last_measured_on": "2026-10-07", "endpoint_condition": "measured 2026-10-07 on the live v1.6.0/v1.6.1 pool (inputs/input-selfhosted-1500.jsonl, sha256 901983ae...), COMPLETE: 1,500 of 1,500 dispatched, 1,477 answered, 23 invalid. Measured through the release lane's reviewed run_api_full_v161.py UNCHANGED, on Florian's 5 Oct amendment (hosted systems answer the same full S u P as self-hosted ones); provider inception, proxy openrouter, every sealed item exposure-logged before the first request. Florian work order of 6 Oct 2026 ('put it on JevBench', under https://x.com/airesearch12/status/2107569862486659111). NO MAPPING DECISION OF OURS: Mercury Decide publishes the same /v1/systemone contract as Jev and all three primitives come back in the canonical shape (noul a float; choice a label plus probabilities keyed by the item's own option labels; score probabilities keyed by level index '0'..'n-1' - 0-based, unlike ClassOne's), so the vendored typesafe adapter's request body, answer mapping and validations are reused UNCHANGED. or_decisions_r58.OpenRouterDecisionsAdapter rewrites ONLY the URL, because OpenRouter serves the contract at POST /api/alpha/decisions rather than /v1/systemone - its own 400 from chat/completions names that path - and it does so by calling the parent run(), so none of the reviewed mapping is duplicated. The pinned harness/vendor tree was NOT edited; the module is reached by PYTHONPATH. THE 23 LONG ITEMS: on this pool exactly 23 of 1,500 items are 77,857-82,318 tokens and the 24th largest is below 2,048 (run 57's own per-item counts on the identical pool, receipt LONGITEM-TOKENS-R58.json). They are also the 23 items the v1.6.1 cost rule excludes. THIS ROW REFUSES THEM: the context window is 32,768 tokens and all 23 came back as HTTP 422 with the provider's own 'upstream_error: Decision service could not complete the request' - a disclosed refusal, which the harness counts as the system's own rather than as an outage. The invalid set is EXACTLY those 23 and nothing else failed in 1,477 answers. RUN IN TWO PASSES BECAUSE OF A FREE-TIER BURST LIMIT, AND IT DOES NOT MOVE THE SPEED FIGURE: items 1-736 ran back to back at ~1.7 req/s until OpenRouter returned a header-less 429 ('rate_limit_exceeded: Request or spending limit exceeded'), which is run_v16's own stop rule; the row was resumed at 1 req/s and completed. The two passes' medians differ by 0.038 s (0.3624 s vs 0.3246 s over 1,477 answers; 0.3624 vs 0.3104 on the 124 items the Speed axis actually uses), and run_v16 sleeps the spacing BEFORE starting the timer, so the pacing is not in the measurement. Receipt LATENCY-SEGMENTS-mercury-R58.txt. Production API, so NO latency adjustment. Serial, one decision per request, no retry, no batching. add-requests run 58", "adapter_id": null, "measurement_date_status": "run output completion day (UTC)"} Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Checked / reported: 2026-10-20 · Samples: 371 Snapshot: 2026-10-20 · Revision: v1.6.1; source_sha256=e15347783b8bedeeddd9017a831608a957f5bf0386f05902c50161ce0468f911 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Benchmark Heaven JevBench1.6.1 · Calibration · noul · ece | 8.814 pp | Setup & sourceBenchmark Heaven JevBench1.6.1 · Calibration · noul · ece Benchmark Heaven v1.6.1; measured_in=v1.6.1; named hosted inception/mercury-decide:free.1500decisions (300public+1200sealed); source identity {"model_pin": "provider-reported measurement model slug: inception/mercury-decide:free", "last_measured_on": "2026-10-07", "endpoint_condition": "measured 2026-10-07 on the live v1.6.0/v1.6.1 pool (inputs/input-selfhosted-1500.jsonl, sha256 901983ae...), COMPLETE: 1,500 of 1,500 dispatched, 1,477 answered, 23 invalid. Measured through the release lane's reviewed run_api_full_v161.py UNCHANGED, on Florian's 5 Oct amendment (hosted systems answer the same full S u P as self-hosted ones); provider inception, proxy openrouter, every sealed item exposure-logged before the first request. Florian work order of 6 Oct 2026 ('put it on JevBench', under https://x.com/airesearch12/status/2107569862486659111). NO MAPPING DECISION OF OURS: Mercury Decide publishes the same /v1/systemone contract as Jev and all three primitives come back in the canonical shape (noul a float; choice a label plus probabilities keyed by the item's own option labels; score probabilities keyed by level index '0'..'n-1' - 0-based, unlike ClassOne's), so the vendored typesafe adapter's request body, answer mapping and validations are reused UNCHANGED. or_decisions_r58.OpenRouterDecisionsAdapter rewrites ONLY the URL, because OpenRouter serves the contract at POST /api/alpha/decisions rather than /v1/systemone - its own 400 from chat/completions names that path - and it does so by calling the parent run(), so none of the reviewed mapping is duplicated. The pinned harness/vendor tree was NOT edited; the module is reached by PYTHONPATH. THE 23 LONG ITEMS: on this pool exactly 23 of 1,500 items are 77,857-82,318 tokens and the 24th largest is below 2,048 (run 57's own per-item counts on the identical pool, receipt LONGITEM-TOKENS-R58.json). They are also the 23 items the v1.6.1 cost rule excludes. THIS ROW REFUSES THEM: the context window is 32,768 tokens and all 23 came back as HTTP 422 with the provider's own 'upstream_error: Decision service could not complete the request' - a disclosed refusal, which the harness counts as the system's own rather than as an outage. The invalid set is EXACTLY those 23 and nothing else failed in 1,477 answers. RUN IN TWO PASSES BECAUSE OF A FREE-TIER BURST LIMIT, AND IT DOES NOT MOVE THE SPEED FIGURE: items 1-736 ran back to back at ~1.7 req/s until OpenRouter returned a header-less 429 ('rate_limit_exceeded: Request or spending limit exceeded'), which is run_v16's own stop rule; the row was resumed at 1 req/s and completed. The two passes' medians differ by 0.038 s (0.3624 s vs 0.3246 s over 1,477 answers; 0.3624 vs 0.3104 on the 124 items the Speed axis actually uses), and run_v16 sleeps the spacing BEFORE starting the timer, so the pacing is not in the measurement. Receipt LATENCY-SEGMENTS-mercury-R58.txt. Production API, so NO latency adjustment. Serial, one decision per request, no retry, no batching. add-requests run 58", "adapter_id": null, "measurement_date_status": "run output completion day (UTC)"} Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Checked / reported: 2026-10-20 · Samples: 371 Snapshot: 2026-10-20 · Revision: v1.6.1; source_sha256=e15347783b8bedeeddd9017a831608a957f5bf0386f05902c50161ce0468f911 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Benchmark Heaven JevBench1.6.1 · Calibration · noul · abstention_rate | 10.243% | Setup & sourceBenchmark Heaven JevBench1.6.1 · Calibration · noul · abstention_rate Benchmark Heaven v1.6.1; measured_in=v1.6.1; named hosted inception/mercury-decide:free.1500decisions (300public+1200sealed); source identity {"model_pin": "provider-reported measurement model slug: inception/mercury-decide:free", "last_measured_on": "2026-10-07", "endpoint_condition": "measured 2026-10-07 on the live v1.6.0/v1.6.1 pool (inputs/input-selfhosted-1500.jsonl, sha256 901983ae...), COMPLETE: 1,500 of 1,500 dispatched, 1,477 answered, 23 invalid. Measured through the release lane's reviewed run_api_full_v161.py UNCHANGED, on Florian's 5 Oct amendment (hosted systems answer the same full S u P as self-hosted ones); provider inception, proxy openrouter, every sealed item exposure-logged before the first request. Florian work order of 6 Oct 2026 ('put it on JevBench', under https://x.com/airesearch12/status/2107569862486659111). NO MAPPING DECISION OF OURS: Mercury Decide publishes the same /v1/systemone contract as Jev and all three primitives come back in the canonical shape (noul a float; choice a label plus probabilities keyed by the item's own option labels; score probabilities keyed by level index '0'..'n-1' - 0-based, unlike ClassOne's), so the vendored typesafe adapter's request body, answer mapping and validations are reused UNCHANGED. or_decisions_r58.OpenRouterDecisionsAdapter rewrites ONLY the URL, because OpenRouter serves the contract at POST /api/alpha/decisions rather than /v1/systemone - its own 400 from chat/completions names that path - and it does so by calling the parent run(), so none of the reviewed mapping is duplicated. The pinned harness/vendor tree was NOT edited; the module is reached by PYTHONPATH. THE 23 LONG ITEMS: on this pool exactly 23 of 1,500 items are 77,857-82,318 tokens and the 24th largest is below 2,048 (run 57's own per-item counts on the identical pool, receipt LONGITEM-TOKENS-R58.json). They are also the 23 items the v1.6.1 cost rule excludes. THIS ROW REFUSES THEM: the context window is 32,768 tokens and all 23 came back as HTTP 422 with the provider's own 'upstream_error: Decision service could not complete the request' - a disclosed refusal, which the harness counts as the system's own rather than as an outage. The invalid set is EXACTLY those 23 and nothing else failed in 1,477 answers. RUN IN TWO PASSES BECAUSE OF A FREE-TIER BURST LIMIT, AND IT DOES NOT MOVE THE SPEED FIGURE: items 1-736 ran back to back at ~1.7 req/s until OpenRouter returned a header-less 429 ('rate_limit_exceeded: Request or spending limit exceeded'), which is run_v16's own stop rule; the row was resumed at 1 req/s and completed. The two passes' medians differ by 0.038 s (0.3624 s vs 0.3246 s over 1,477 answers; 0.3624 vs 0.3104 on the 124 items the Speed axis actually uses), and run_v16 sleeps the spacing BEFORE starting the timer, so the pacing is not in the measurement. Receipt LATENCY-SEGMENTS-mercury-R58.txt. Production API, so NO latency adjustment. Serial, one decision per request, no retry, no batching. add-requests run 58", "adapter_id": null, "measurement_date_status": "run output completion day (UTC)"} Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Checked / reported: 2026-10-20 · Samples: 371 Snapshot: 2026-10-20 · Revision: v1.6.1; source_sha256=e15347783b8bedeeddd9017a831608a957f5bf0386f05902c50161ce0468f911 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Benchmark Heaven JevBench1.6.1 · Calibration · score · score | 83.749 | Setup & sourceBenchmark Heaven JevBench1.6.1 · Calibration · score · score Benchmark Heaven v1.6.1; measured_in=v1.6.1; named hosted inception/mercury-decide:free.1500decisions (300public+1200sealed); source identity {"model_pin": "provider-reported measurement model slug: inception/mercury-decide:free", "last_measured_on": "2026-10-07", "endpoint_condition": "measured 2026-10-07 on the live v1.6.0/v1.6.1 pool (inputs/input-selfhosted-1500.jsonl, sha256 901983ae...), COMPLETE: 1,500 of 1,500 dispatched, 1,477 answered, 23 invalid. Measured through the release lane's reviewed run_api_full_v161.py UNCHANGED, on Florian's 5 Oct amendment (hosted systems answer the same full S u P as self-hosted ones); provider inception, proxy openrouter, every sealed item exposure-logged before the first request. Florian work order of 6 Oct 2026 ('put it on JevBench', under https://x.com/airesearch12/status/2107569862486659111). NO MAPPING DECISION OF OURS: Mercury Decide publishes the same /v1/systemone contract as Jev and all three primitives come back in the canonical shape (noul a float; choice a label plus probabilities keyed by the item's own option labels; score probabilities keyed by level index '0'..'n-1' - 0-based, unlike ClassOne's), so the vendored typesafe adapter's request body, answer mapping and validations are reused UNCHANGED. or_decisions_r58.OpenRouterDecisionsAdapter rewrites ONLY the URL, because OpenRouter serves the contract at POST /api/alpha/decisions rather than /v1/systemone - its own 400 from chat/completions names that path - and it does so by calling the parent run(), so none of the reviewed mapping is duplicated. The pinned harness/vendor tree was NOT edited; the module is reached by PYTHONPATH. THE 23 LONG ITEMS: on this pool exactly 23 of 1,500 items are 77,857-82,318 tokens and the 24th largest is below 2,048 (run 57's own per-item counts on the identical pool, receipt LONGITEM-TOKENS-R58.json). They are also the 23 items the v1.6.1 cost rule excludes. THIS ROW REFUSES THEM: the context window is 32,768 tokens and all 23 came back as HTTP 422 with the provider's own 'upstream_error: Decision service could not complete the request' - a disclosed refusal, which the harness counts as the system's own rather than as an outage. The invalid set is EXACTLY those 23 and nothing else failed in 1,477 answers. RUN IN TWO PASSES BECAUSE OF A FREE-TIER BURST LIMIT, AND IT DOES NOT MOVE THE SPEED FIGURE: items 1-736 ran back to back at ~1.7 req/s until OpenRouter returned a header-less 429 ('rate_limit_exceeded: Request or spending limit exceeded'), which is run_v16's own stop rule; the row was resumed at 1 req/s and completed. The two passes' medians differ by 0.038 s (0.3624 s vs 0.3246 s over 1,477 answers; 0.3624 vs 0.3104 on the 124 items the Speed axis actually uses), and run_v16 sleeps the spacing BEFORE starting the timer, so the pacing is not in the measurement. Receipt LATENCY-SEGMENTS-mercury-R58.txt. Production API, so NO latency adjustment. Serial, one decision per request, no retry, no batching. add-requests run 58", "adapter_id": null, "measurement_date_status": "run output completion day (UTC)"} Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Checked / reported: 2026-10-20 · Samples: 369 Snapshot: 2026-10-20 · Revision: v1.6.1; source_sha256=e15347783b8bedeeddd9017a831608a957f5bf0386f05902c50161ce0468f911 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Benchmark Heaven JevBench1.6.1 · Calibration · score · nrps | 0.062397 RPS | Setup & sourceBenchmark Heaven JevBench1.6.1 · Calibration · score · nrps Benchmark Heaven v1.6.1; measured_in=v1.6.1; named hosted inception/mercury-decide:free.1500decisions (300public+1200sealed); source identity {"model_pin": "provider-reported measurement model slug: inception/mercury-decide:free", "last_measured_on": "2026-10-07", "endpoint_condition": "measured 2026-10-07 on the live v1.6.0/v1.6.1 pool (inputs/input-selfhosted-1500.jsonl, sha256 901983ae...), COMPLETE: 1,500 of 1,500 dispatched, 1,477 answered, 23 invalid. Measured through the release lane's reviewed run_api_full_v161.py UNCHANGED, on Florian's 5 Oct amendment (hosted systems answer the same full S u P as self-hosted ones); provider inception, proxy openrouter, every sealed item exposure-logged before the first request. Florian work order of 6 Oct 2026 ('put it on JevBench', under https://x.com/airesearch12/status/2107569862486659111). NO MAPPING DECISION OF OURS: Mercury Decide publishes the same /v1/systemone contract as Jev and all three primitives come back in the canonical shape (noul a float; choice a label plus probabilities keyed by the item's own option labels; score probabilities keyed by level index '0'..'n-1' - 0-based, unlike ClassOne's), so the vendored typesafe adapter's request body, answer mapping and validations are reused UNCHANGED. or_decisions_r58.OpenRouterDecisionsAdapter rewrites ONLY the URL, because OpenRouter serves the contract at POST /api/alpha/decisions rather than /v1/systemone - its own 400 from chat/completions names that path - and it does so by calling the parent run(), so none of the reviewed mapping is duplicated. The pinned harness/vendor tree was NOT edited; the module is reached by PYTHONPATH. THE 23 LONG ITEMS: on this pool exactly 23 of 1,500 items are 77,857-82,318 tokens and the 24th largest is below 2,048 (run 57's own per-item counts on the identical pool, receipt LONGITEM-TOKENS-R58.json). They are also the 23 items the v1.6.1 cost rule excludes. THIS ROW REFUSES THEM: the context window is 32,768 tokens and all 23 came back as HTTP 422 with the provider's own 'upstream_error: Decision service could not complete the request' - a disclosed refusal, which the harness counts as the system's own rather than as an outage. The invalid set is EXACTLY those 23 and nothing else failed in 1,477 answers. RUN IN TWO PASSES BECAUSE OF A FREE-TIER BURST LIMIT, AND IT DOES NOT MOVE THE SPEED FIGURE: items 1-736 ran back to back at ~1.7 req/s until OpenRouter returned a header-less 429 ('rate_limit_exceeded: Request or spending limit exceeded'), which is run_v16's own stop rule; the row was resumed at 1 req/s and completed. The two passes' medians differ by 0.038 s (0.3624 s vs 0.3246 s over 1,477 answers; 0.3624 vs 0.3104 on the 124 items the Speed axis actually uses), and run_v16 sleeps the spacing BEFORE starting the timer, so the pacing is not in the measurement. Receipt LATENCY-SEGMENTS-mercury-R58.txt. Production API, so NO latency adjustment. Serial, one decision per request, no retry, no batching. add-requests run 58", "adapter_id": null, "measurement_date_status": "run output completion day (UTC)"} Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Checked / reported: 2026-10-20 · Samples: 369 Snapshot: 2026-10-20 · Revision: v1.6.1; source_sha256=e15347783b8bedeeddd9017a831608a957f5bf0386f05902c50161ce0468f911 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Benchmark Heaven JevBench1.6.1 · Calibration · score · top_ece | 13.131 pp | Setup & sourceBenchmark Heaven JevBench1.6.1 · Calibration · score · top_ece Benchmark Heaven v1.6.1; measured_in=v1.6.1; named hosted inception/mercury-decide:free.1500decisions (300public+1200sealed); source identity {"model_pin": "provider-reported measurement model slug: inception/mercury-decide:free", "last_measured_on": "2026-10-07", "endpoint_condition": "measured 2026-10-07 on the live v1.6.0/v1.6.1 pool (inputs/input-selfhosted-1500.jsonl, sha256 901983ae...), COMPLETE: 1,500 of 1,500 dispatched, 1,477 answered, 23 invalid. Measured through the release lane's reviewed run_api_full_v161.py UNCHANGED, on Florian's 5 Oct amendment (hosted systems answer the same full S u P as self-hosted ones); provider inception, proxy openrouter, every sealed item exposure-logged before the first request. Florian work order of 6 Oct 2026 ('put it on JevBench', under https://x.com/airesearch12/status/2107569862486659111). NO MAPPING DECISION OF OURS: Mercury Decide publishes the same /v1/systemone contract as Jev and all three primitives come back in the canonical shape (noul a float; choice a label plus probabilities keyed by the item's own option labels; score probabilities keyed by level index '0'..'n-1' - 0-based, unlike ClassOne's), so the vendored typesafe adapter's request body, answer mapping and validations are reused UNCHANGED. or_decisions_r58.OpenRouterDecisionsAdapter rewrites ONLY the URL, because OpenRouter serves the contract at POST /api/alpha/decisions rather than /v1/systemone - its own 400 from chat/completions names that path - and it does so by calling the parent run(), so none of the reviewed mapping is duplicated. The pinned harness/vendor tree was NOT edited; the module is reached by PYTHONPATH. THE 23 LONG ITEMS: on this pool exactly 23 of 1,500 items are 77,857-82,318 tokens and the 24th largest is below 2,048 (run 57's own per-item counts on the identical pool, receipt LONGITEM-TOKENS-R58.json). They are also the 23 items the v1.6.1 cost rule excludes. THIS ROW REFUSES THEM: the context window is 32,768 tokens and all 23 came back as HTTP 422 with the provider's own 'upstream_error: Decision service could not complete the request' - a disclosed refusal, which the harness counts as the system's own rather than as an outage. The invalid set is EXACTLY those 23 and nothing else failed in 1,477 answers. RUN IN TWO PASSES BECAUSE OF A FREE-TIER BURST LIMIT, AND IT DOES NOT MOVE THE SPEED FIGURE: items 1-736 ran back to back at ~1.7 req/s until OpenRouter returned a header-less 429 ('rate_limit_exceeded: Request or spending limit exceeded'), which is run_v16's own stop rule; the row was resumed at 1 req/s and completed. The two passes' medians differ by 0.038 s (0.3624 s vs 0.3246 s over 1,477 answers; 0.3624 vs 0.3104 on the 124 items the Speed axis actually uses), and run_v16 sleeps the spacing BEFORE starting the timer, so the pacing is not in the measurement. Receipt LATENCY-SEGMENTS-mercury-R58.txt. Production API, so NO latency adjustment. Serial, one decision per request, no retry, no batching. add-requests run 58", "adapter_id": null, "measurement_date_status": "run output completion day (UTC)"} Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Checked / reported: 2026-10-20 · Samples: 369 Snapshot: 2026-10-20 · Revision: v1.6.1; source_sha256=e15347783b8bedeeddd9017a831608a957f5bf0386f05902c50161ce0468f911 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Benchmark Heaven JevBench1.6.1 · Calibration · score · interval90_coverage | 87.534% | Setup & sourceBenchmark Heaven JevBench1.6.1 · Calibration · score · interval90_coverage Benchmark Heaven v1.6.1; measured_in=v1.6.1; named hosted inception/mercury-decide:free.1500decisions (300public+1200sealed); source identity {"model_pin": "provider-reported measurement model slug: inception/mercury-decide:free", "last_measured_on": "2026-10-07", "endpoint_condition": "measured 2026-10-07 on the live v1.6.0/v1.6.1 pool (inputs/input-selfhosted-1500.jsonl, sha256 901983ae...), COMPLETE: 1,500 of 1,500 dispatched, 1,477 answered, 23 invalid. Measured through the release lane's reviewed run_api_full_v161.py UNCHANGED, on Florian's 5 Oct amendment (hosted systems answer the same full S u P as self-hosted ones); provider inception, proxy openrouter, every sealed item exposure-logged before the first request. Florian work order of 6 Oct 2026 ('put it on JevBench', under https://x.com/airesearch12/status/2107569862486659111). NO MAPPING DECISION OF OURS: Mercury Decide publishes the same /v1/systemone contract as Jev and all three primitives come back in the canonical shape (noul a float; choice a label plus probabilities keyed by the item's own option labels; score probabilities keyed by level index '0'..'n-1' - 0-based, unlike ClassOne's), so the vendored typesafe adapter's request body, answer mapping and validations are reused UNCHANGED. or_decisions_r58.OpenRouterDecisionsAdapter rewrites ONLY the URL, because OpenRouter serves the contract at POST /api/alpha/decisions rather than /v1/systemone - its own 400 from chat/completions names that path - and it does so by calling the parent run(), so none of the reviewed mapping is duplicated. The pinned harness/vendor tree was NOT edited; the module is reached by PYTHONPATH. THE 23 LONG ITEMS: on this pool exactly 23 of 1,500 items are 77,857-82,318 tokens and the 24th largest is below 2,048 (run 57's own per-item counts on the identical pool, receipt LONGITEM-TOKENS-R58.json). They are also the 23 items the v1.6.1 cost rule excludes. THIS ROW REFUSES THEM: the context window is 32,768 tokens and all 23 came back as HTTP 422 with the provider's own 'upstream_error: Decision service could not complete the request' - a disclosed refusal, which the harness counts as the system's own rather than as an outage. The invalid set is EXACTLY those 23 and nothing else failed in 1,477 answers. RUN IN TWO PASSES BECAUSE OF A FREE-TIER BURST LIMIT, AND IT DOES NOT MOVE THE SPEED FIGURE: items 1-736 ran back to back at ~1.7 req/s until OpenRouter returned a header-less 429 ('rate_limit_exceeded: Request or spending limit exceeded'), which is run_v16's own stop rule; the row was resumed at 1 req/s and completed. The two passes' medians differ by 0.038 s (0.3624 s vs 0.3246 s over 1,477 answers; 0.3624 vs 0.3104 on the 124 items the Speed axis actually uses), and run_v16 sleeps the spacing BEFORE starting the timer, so the pacing is not in the measurement. Receipt LATENCY-SEGMENTS-mercury-R58.txt. Production API, so NO latency adjustment. Serial, one decision per request, no retry, no batching. add-requests run 58", "adapter_id": null, "measurement_date_status": "run output completion day (UTC)"} Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Checked / reported: 2026-10-20 · Samples: 369 Snapshot: 2026-10-20 · Revision: v1.6.1; source_sha256=e15347783b8bedeeddd9017a831608a957f5bf0386f05902c50161ce0468f911 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Benchmark Heaven JevBench1.6.1 · Calibration · score · interval90_width | 14.589% | Setup & sourceBenchmark Heaven JevBench1.6.1 · Calibration · score · interval90_width Benchmark Heaven v1.6.1; measured_in=v1.6.1; named hosted inception/mercury-decide:free.1500decisions (300public+1200sealed); source identity {"model_pin": "provider-reported measurement model slug: inception/mercury-decide:free", "last_measured_on": "2026-10-07", "endpoint_condition": "measured 2026-10-07 on the live v1.6.0/v1.6.1 pool (inputs/input-selfhosted-1500.jsonl, sha256 901983ae...), COMPLETE: 1,500 of 1,500 dispatched, 1,477 answered, 23 invalid. Measured through the release lane's reviewed run_api_full_v161.py UNCHANGED, on Florian's 5 Oct amendment (hosted systems answer the same full S u P as self-hosted ones); provider inception, proxy openrouter, every sealed item exposure-logged before the first request. Florian work order of 6 Oct 2026 ('put it on JevBench', under https://x.com/airesearch12/status/2107569862486659111). NO MAPPING DECISION OF OURS: Mercury Decide publishes the same /v1/systemone contract as Jev and all three primitives come back in the canonical shape (noul a float; choice a label plus probabilities keyed by the item's own option labels; score probabilities keyed by level index '0'..'n-1' - 0-based, unlike ClassOne's), so the vendored typesafe adapter's request body, answer mapping and validations are reused UNCHANGED. or_decisions_r58.OpenRouterDecisionsAdapter rewrites ONLY the URL, because OpenRouter serves the contract at POST /api/alpha/decisions rather than /v1/systemone - its own 400 from chat/completions names that path - and it does so by calling the parent run(), so none of the reviewed mapping is duplicated. The pinned harness/vendor tree was NOT edited; the module is reached by PYTHONPATH. THE 23 LONG ITEMS: on this pool exactly 23 of 1,500 items are 77,857-82,318 tokens and the 24th largest is below 2,048 (run 57's own per-item counts on the identical pool, receipt LONGITEM-TOKENS-R58.json). They are also the 23 items the v1.6.1 cost rule excludes. THIS ROW REFUSES THEM: the context window is 32,768 tokens and all 23 came back as HTTP 422 with the provider's own 'upstream_error: Decision service could not complete the request' - a disclosed refusal, which the harness counts as the system's own rather than as an outage. The invalid set is EXACTLY those 23 and nothing else failed in 1,477 answers. RUN IN TWO PASSES BECAUSE OF A FREE-TIER BURST LIMIT, AND IT DOES NOT MOVE THE SPEED FIGURE: items 1-736 ran back to back at ~1.7 req/s until OpenRouter returned a header-less 429 ('rate_limit_exceeded: Request or spending limit exceeded'), which is run_v16's own stop rule; the row was resumed at 1 req/s and completed. The two passes' medians differ by 0.038 s (0.3624 s vs 0.3246 s over 1,477 answers; 0.3624 vs 0.3104 on the 124 items the Speed axis actually uses), and run_v16 sleeps the spacing BEFORE starting the timer, so the pacing is not in the measurement. Receipt LATENCY-SEGMENTS-mercury-R58.txt. Production API, so NO latency adjustment. Serial, one decision per request, no retry, no batching. add-requests run 58", "adapter_id": null, "measurement_date_status": "run output completion day (UTC)"} Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Checked / reported: 2026-10-20 · Samples: 369 Snapshot: 2026-10-20 · Revision: v1.6.1; source_sha256=e15347783b8bedeeddd9017a831608a957f5bf0386f05902c50161ce0468f911 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Benchmark Heaven JevBench1.6.1 · Timing · p50_s_raw | 0.332 s | Setup & sourceBenchmark Heaven JevBench1.6.1 · Timing · p50_s_raw Benchmark Heaven v1.6.1; measured_in=v1.6.1; named hosted inception/mercury-decide:free.1500decisions (300public+1200sealed); source identity {"model_pin": "provider-reported measurement model slug: inception/mercury-decide:free", "last_measured_on": "2026-10-07", "endpoint_condition": "measured 2026-10-07 on the live v1.6.0/v1.6.1 pool (inputs/input-selfhosted-1500.jsonl, sha256 901983ae...), COMPLETE: 1,500 of 1,500 dispatched, 1,477 answered, 23 invalid. Measured through the release lane's reviewed run_api_full_v161.py UNCHANGED, on Florian's 5 Oct amendment (hosted systems answer the same full S u P as self-hosted ones); provider inception, proxy openrouter, every sealed item exposure-logged before the first request. Florian work order of 6 Oct 2026 ('put it on JevBench', under https://x.com/airesearch12/status/2107569862486659111). NO MAPPING DECISION OF OURS: Mercury Decide publishes the same /v1/systemone contract as Jev and all three primitives come back in the canonical shape (noul a float; choice a label plus probabilities keyed by the item's own option labels; score probabilities keyed by level index '0'..'n-1' - 0-based, unlike ClassOne's), so the vendored typesafe adapter's request body, answer mapping and validations are reused UNCHANGED. or_decisions_r58.OpenRouterDecisionsAdapter rewrites ONLY the URL, because OpenRouter serves the contract at POST /api/alpha/decisions rather than /v1/systemone - its own 400 from chat/completions names that path - and it does so by calling the parent run(), so none of the reviewed mapping is duplicated. The pinned harness/vendor tree was NOT edited; the module is reached by PYTHONPATH. THE 23 LONG ITEMS: on this pool exactly 23 of 1,500 items are 77,857-82,318 tokens and the 24th largest is below 2,048 (run 57's own per-item counts on the identical pool, receipt LONGITEM-TOKENS-R58.json). They are also the 23 items the v1.6.1 cost rule excludes. THIS ROW REFUSES THEM: the context window is 32,768 tokens and all 23 came back as HTTP 422 with the provider's own 'upstream_error: Decision service could not complete the request' - a disclosed refusal, which the harness counts as the system's own rather than as an outage. The invalid set is EXACTLY those 23 and nothing else failed in 1,477 answers. RUN IN TWO PASSES BECAUSE OF A FREE-TIER BURST LIMIT, AND IT DOES NOT MOVE THE SPEED FIGURE: items 1-736 ran back to back at ~1.7 req/s until OpenRouter returned a header-less 429 ('rate_limit_exceeded: Request or spending limit exceeded'), which is run_v16's own stop rule; the row was resumed at 1 req/s and completed. The two passes' medians differ by 0.038 s (0.3624 s vs 0.3246 s over 1,477 answers; 0.3624 vs 0.3104 on the 124 items the Speed axis actually uses), and run_v16 sleeps the spacing BEFORE starting the timer, so the pacing is not in the measurement. Receipt LATENCY-SEGMENTS-mercury-R58.txt. Production API, so NO latency adjustment. Serial, one decision per request, no retry, no batching. add-requests run 58", "adapter_id": null, "measurement_date_status": "run output completion day (UTC)"} Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Checked / reported: 2026-10-20 · Samples: 124 Snapshot: 2026-10-20 · Revision: v1.6.1; source_sha256=e15347783b8bedeeddd9017a831608a957f5bf0386f05902c50161ce0468f911 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Benchmark Heaven JevBench1.6.1 · Timing · p50_s_adjusted | 0.332 s | Setup & sourceBenchmark Heaven JevBench1.6.1 · Timing · p50_s_adjusted Benchmark Heaven v1.6.1; measured_in=v1.6.1; named hosted inception/mercury-decide:free.1500decisions (300public+1200sealed); source identity {"model_pin": "provider-reported measurement model slug: inception/mercury-decide:free", "last_measured_on": "2026-10-07", "endpoint_condition": "measured 2026-10-07 on the live v1.6.0/v1.6.1 pool (inputs/input-selfhosted-1500.jsonl, sha256 901983ae...), COMPLETE: 1,500 of 1,500 dispatched, 1,477 answered, 23 invalid. Measured through the release lane's reviewed run_api_full_v161.py UNCHANGED, on Florian's 5 Oct amendment (hosted systems answer the same full S u P as self-hosted ones); provider inception, proxy openrouter, every sealed item exposure-logged before the first request. Florian work order of 6 Oct 2026 ('put it on JevBench', under https://x.com/airesearch12/status/2107569862486659111). NO MAPPING DECISION OF OURS: Mercury Decide publishes the same /v1/systemone contract as Jev and all three primitives come back in the canonical shape (noul a float; choice a label plus probabilities keyed by the item's own option labels; score probabilities keyed by level index '0'..'n-1' - 0-based, unlike ClassOne's), so the vendored typesafe adapter's request body, answer mapping and validations are reused UNCHANGED. or_decisions_r58.OpenRouterDecisionsAdapter rewrites ONLY the URL, because OpenRouter serves the contract at POST /api/alpha/decisions rather than /v1/systemone - its own 400 from chat/completions names that path - and it does so by calling the parent run(), so none of the reviewed mapping is duplicated. The pinned harness/vendor tree was NOT edited; the module is reached by PYTHONPATH. THE 23 LONG ITEMS: on this pool exactly 23 of 1,500 items are 77,857-82,318 tokens and the 24th largest is below 2,048 (run 57's own per-item counts on the identical pool, receipt LONGITEM-TOKENS-R58.json). They are also the 23 items the v1.6.1 cost rule excludes. THIS ROW REFUSES THEM: the context window is 32,768 tokens and all 23 came back as HTTP 422 with the provider's own 'upstream_error: Decision service could not complete the request' - a disclosed refusal, which the harness counts as the system's own rather than as an outage. The invalid set is EXACTLY those 23 and nothing else failed in 1,477 answers. RUN IN TWO PASSES BECAUSE OF A FREE-TIER BURST LIMIT, AND IT DOES NOT MOVE THE SPEED FIGURE: items 1-736 ran back to back at ~1.7 req/s until OpenRouter returned a header-less 429 ('rate_limit_exceeded: Request or spending limit exceeded'), which is run_v16's own stop rule; the row was resumed at 1 req/s and completed. The two passes' medians differ by 0.038 s (0.3624 s vs 0.3246 s over 1,477 answers; 0.3624 vs 0.3104 on the 124 items the Speed axis actually uses), and run_v16 sleeps the spacing BEFORE starting the timer, so the pacing is not in the measurement. Receipt LATENCY-SEGMENTS-mercury-R58.txt. Production API, so NO latency adjustment. Serial, one decision per request, no retry, no batching. add-requests run 58", "adapter_id": null, "measurement_date_status": "run output completion day (UTC)"} Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Checked / reported: 2026-10-20 · Samples: 124 Snapshot: 2026-10-20 · Revision: v1.6.1; source_sha256=e15347783b8bedeeddd9017a831608a957f5bf0386f05902c50161ce0468f911 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Benchmark Heaven JevBench1.6.1 · Timing · p95_s_raw | 0.853 s | Setup & sourceBenchmark Heaven JevBench1.6.1 · Timing · p95_s_raw Benchmark Heaven v1.6.1; measured_in=v1.6.1; named hosted inception/mercury-decide:free.1500decisions (300public+1200sealed); source identity {"model_pin": "provider-reported measurement model slug: inception/mercury-decide:free", "last_measured_on": "2026-10-07", "endpoint_condition": "measured 2026-10-07 on the live v1.6.0/v1.6.1 pool (inputs/input-selfhosted-1500.jsonl, sha256 901983ae...), COMPLETE: 1,500 of 1,500 dispatched, 1,477 answered, 23 invalid. Measured through the release lane's reviewed run_api_full_v161.py UNCHANGED, on Florian's 5 Oct amendment (hosted systems answer the same full S u P as self-hosted ones); provider inception, proxy openrouter, every sealed item exposure-logged before the first request. Florian work order of 6 Oct 2026 ('put it on JevBench', under https://x.com/airesearch12/status/2107569862486659111). NO MAPPING DECISION OF OURS: Mercury Decide publishes the same /v1/systemone contract as Jev and all three primitives come back in the canonical shape (noul a float; choice a label plus probabilities keyed by the item's own option labels; score probabilities keyed by level index '0'..'n-1' - 0-based, unlike ClassOne's), so the vendored typesafe adapter's request body, answer mapping and validations are reused UNCHANGED. or_decisions_r58.OpenRouterDecisionsAdapter rewrites ONLY the URL, because OpenRouter serves the contract at POST /api/alpha/decisions rather than /v1/systemone - its own 400 from chat/completions names that path - and it does so by calling the parent run(), so none of the reviewed mapping is duplicated. The pinned harness/vendor tree was NOT edited; the module is reached by PYTHONPATH. THE 23 LONG ITEMS: on this pool exactly 23 of 1,500 items are 77,857-82,318 tokens and the 24th largest is below 2,048 (run 57's own per-item counts on the identical pool, receipt LONGITEM-TOKENS-R58.json). They are also the 23 items the v1.6.1 cost rule excludes. THIS ROW REFUSES THEM: the context window is 32,768 tokens and all 23 came back as HTTP 422 with the provider's own 'upstream_error: Decision service could not complete the request' - a disclosed refusal, which the harness counts as the system's own rather than as an outage. The invalid set is EXACTLY those 23 and nothing else failed in 1,477 answers. RUN IN TWO PASSES BECAUSE OF A FREE-TIER BURST LIMIT, AND IT DOES NOT MOVE THE SPEED FIGURE: items 1-736 ran back to back at ~1.7 req/s until OpenRouter returned a header-less 429 ('rate_limit_exceeded: Request or spending limit exceeded'), which is run_v16's own stop rule; the row was resumed at 1 req/s and completed. The two passes' medians differ by 0.038 s (0.3624 s vs 0.3246 s over 1,477 answers; 0.3624 vs 0.3104 on the 124 items the Speed axis actually uses), and run_v16 sleeps the spacing BEFORE starting the timer, so the pacing is not in the measurement. Receipt LATENCY-SEGMENTS-mercury-R58.txt. Production API, so NO latency adjustment. Serial, one decision per request, no retry, no batching. add-requests run 58", "adapter_id": null, "measurement_date_status": "run output completion day (UTC)"} Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Checked / reported: 2026-10-20 · Samples: 124 Snapshot: 2026-10-20 · Revision: v1.6.1; source_sha256=e15347783b8bedeeddd9017a831608a957f5bf0386f05902c50161ce0468f911 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Benchmark Heaven JevBench1.6.1 · Timing · p95_s_adjusted | 0.853 s | Setup & sourceBenchmark Heaven JevBench1.6.1 · Timing · p95_s_adjusted Benchmark Heaven v1.6.1; measured_in=v1.6.1; named hosted inception/mercury-decide:free.1500decisions (300public+1200sealed); source identity {"model_pin": "provider-reported measurement model slug: inception/mercury-decide:free", "last_measured_on": "2026-10-07", "endpoint_condition": "measured 2026-10-07 on the live v1.6.0/v1.6.1 pool (inputs/input-selfhosted-1500.jsonl, sha256 901983ae...), COMPLETE: 1,500 of 1,500 dispatched, 1,477 answered, 23 invalid. Measured through the release lane's reviewed run_api_full_v161.py UNCHANGED, on Florian's 5 Oct amendment (hosted systems answer the same full S u P as self-hosted ones); provider inception, proxy openrouter, every sealed item exposure-logged before the first request. Florian work order of 6 Oct 2026 ('put it on JevBench', under https://x.com/airesearch12/status/2107569862486659111). NO MAPPING DECISION OF OURS: Mercury Decide publishes the same /v1/systemone contract as Jev and all three primitives come back in the canonical shape (noul a float; choice a label plus probabilities keyed by the item's own option labels; score probabilities keyed by level index '0'..'n-1' - 0-based, unlike ClassOne's), so the vendored typesafe adapter's request body, answer mapping and validations are reused UNCHANGED. or_decisions_r58.OpenRouterDecisionsAdapter rewrites ONLY the URL, because OpenRouter serves the contract at POST /api/alpha/decisions rather than /v1/systemone - its own 400 from chat/completions names that path - and it does so by calling the parent run(), so none of the reviewed mapping is duplicated. The pinned harness/vendor tree was NOT edited; the module is reached by PYTHONPATH. THE 23 LONG ITEMS: on this pool exactly 23 of 1,500 items are 77,857-82,318 tokens and the 24th largest is below 2,048 (run 57's own per-item counts on the identical pool, receipt LONGITEM-TOKENS-R58.json). They are also the 23 items the v1.6.1 cost rule excludes. THIS ROW REFUSES THEM: the context window is 32,768 tokens and all 23 came back as HTTP 422 with the provider's own 'upstream_error: Decision service could not complete the request' - a disclosed refusal, which the harness counts as the system's own rather than as an outage. The invalid set is EXACTLY those 23 and nothing else failed in 1,477 answers. RUN IN TWO PASSES BECAUSE OF A FREE-TIER BURST LIMIT, AND IT DOES NOT MOVE THE SPEED FIGURE: items 1-736 ran back to back at ~1.7 req/s until OpenRouter returned a header-less 429 ('rate_limit_exceeded: Request or spending limit exceeded'), which is run_v16's own stop rule; the row was resumed at 1 req/s and completed. The two passes' medians differ by 0.038 s (0.3624 s vs 0.3246 s over 1,477 answers; 0.3624 vs 0.3104 on the 124 items the Speed axis actually uses), and run_v16 sleeps the spacing BEFORE starting the timer, so the pacing is not in the measurement. Receipt LATENCY-SEGMENTS-mercury-R58.txt. Production API, so NO latency adjustment. Serial, one decision per request, no retry, no batching. add-requests run 58", "adapter_id": null, "measurement_date_status": "run output completion day (UTC)"} Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Checked / reported: 2026-10-20 · Samples: 124 Snapshot: 2026-10-20 · Revision: v1.6.1; source_sha256=e15347783b8bedeeddd9017a831608a957f5bf0386f05902c50161ce0468f911 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Benchmark Heaven JevBench1.6.1 · Historical proxy estimated cost | 0.01836 USD/1k decisions | Setup & sourceBenchmark Heaven JevBench1.6.1 · Historical proxy estimated cost Benchmark Heaven v1.6.1; measured_in=v1.6.1; named hosted inception/mercury-decide:free.1500decisions (300public+1200sealed); source identity {"model_pin": "provider-reported measurement model slug: inception/mercury-decide:free", "last_measured_on": "2026-10-07", "endpoint_condition": "measured 2026-10-07 on the live v1.6.0/v1.6.1 pool (inputs/input-selfhosted-1500.jsonl, sha256 901983ae...), COMPLETE: 1,500 of 1,500 dispatched, 1,477 answered, 23 invalid. Measured through the release lane's reviewed run_api_full_v161.py UNCHANGED, on Florian's 5 Oct amendment (hosted systems answer the same full S u P as self-hosted ones); provider inception, proxy openrouter, every sealed item exposure-logged before the first request. Florian work order of 6 Oct 2026 ('put it on JevBench', under https://x.com/airesearch12/status/2107569862486659111). NO MAPPING DECISION OF OURS: Mercury Decide publishes the same /v1/systemone contract as Jev and all three primitives come back in the canonical shape (noul a float; choice a label plus probabilities keyed by the item's own option labels; score probabilities keyed by level index '0'..'n-1' - 0-based, unlike ClassOne's), so the vendored typesafe adapter's request body, answer mapping and validations are reused UNCHANGED. or_decisions_r58.OpenRouterDecisionsAdapter rewrites ONLY the URL, because OpenRouter serves the contract at POST /api/alpha/decisions rather than /v1/systemone - its own 400 from chat/completions names that path - and it does so by calling the parent run(), so none of the reviewed mapping is duplicated. The pinned harness/vendor tree was NOT edited; the module is reached by PYTHONPATH. THE 23 LONG ITEMS: on this pool exactly 23 of 1,500 items are 77,857-82,318 tokens and the 24th largest is below 2,048 (run 57's own per-item counts on the identical pool, receipt LONGITEM-TOKENS-R58.json). They are also the 23 items the v1.6.1 cost rule excludes. THIS ROW REFUSES THEM: the context window is 32,768 tokens and all 23 came back as HTTP 422 with the provider's own 'upstream_error: Decision service could not complete the request' - a disclosed refusal, which the harness counts as the system's own rather than as an outage. The invalid set is EXACTLY those 23 and nothing else failed in 1,477 answers. RUN IN TWO PASSES BECAUSE OF A FREE-TIER BURST LIMIT, AND IT DOES NOT MOVE THE SPEED FIGURE: items 1-736 ran back to back at ~1.7 req/s until OpenRouter returned a header-less 429 ('rate_limit_exceeded: Request or spending limit exceeded'), which is run_v16's own stop rule; the row was resumed at 1 req/s and completed. The two passes' medians differ by 0.038 s (0.3624 s vs 0.3246 s over 1,477 answers; 0.3624 vs 0.3104 on the 124 items the Speed axis actually uses), and run_v16 sleeps the spacing BEFORE starting the timer, so the pacing is not in the measurement. Receipt LATENCY-SEGMENTS-mercury-R58.txt. Production API, so NO latency adjustment. Serial, one decision per request, no retry, no batching. add-requests run 58", "adapter_id": null, "measurement_date_status": "run output completion day (UTC)"} Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Distinct from Leanmcp JevBench and community HF Decision Index. WebMCP feed reportsv1.6.29 while page shell saysboardv1.7.46; preserve exact feed revision and source artifact. Intelligence is chance-corrected/weighted. Calibration is a mixed source index, not ECE. Cost and four-axis composite incorporate an explicitly labeled Mercury2.5 proxy tariff because the original7October run was free; this is historical source methodology, not current Mercury Decide pricing. No paid tariff is inferred. Source-computed values are retained; no Examenos recomputation. Per-type support/validity details are in each record. Checked / reported: 2026-10-20 · Samples: 1500 Snapshot: 2026-10-20 · Revision: v1.6.1; source_sha256=e15347783b8bedeeddd9017a831608a957f5bf0386f05902c50161ce0468f911 · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
Evaluator-published · etsabary development study
| Evaluation | Result | Evidence |
|---|---|---|
| Decision reference DEVELOPMENT1342 · All-case accuracy | 75.782% | Setup & sourceDecision reference DEVELOPMENT1342 · All-case accuracy Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 1342 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · Macro-family accuracy | 73.344% | Setup & sourceDecision reference DEVELOPMENT1342 · Macro-family accuracy Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 1342 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · median_ms | 238.431 ms | Setup & sourceDecision reference DEVELOPMENT1342 · median_ms Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 1342 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · p95_ms | 388.373 ms | Setup & sourceDecision reference DEVELOPMENT1342 · p95_ms Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 1342 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · Captured total cost | 0.009334 USD/run | Setup & sourceDecision reference DEVELOPMENT1342 · Captured total cost Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 1342 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · Captured cost per1000 | 0.006956 USD/1k decisions | Setup & sourceDecision reference DEVELOPMENT1342 · Captured cost per1000 Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 1342 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · F01 · Lookup and filtering | 88.372% | Setup & sourceDecision reference DEVELOPMENT1342 · F01 · Lookup and filtering Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 43 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · F02 · Forward conditionals | 93.478% | Setup & sourceDecision reference DEVELOPMENT1342 · F02 · Forward conditionals Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 46 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · F03 · Necessary conditions | 53.846% | Setup & sourceDecision reference DEVELOPMENT1342 · F03 · Necessary conditions Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 52 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · F04 · Boolean scope | 90.741% | Setup & sourceDecision reference DEVELOPMENT1342 · F04 · Boolean scope Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 54 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · F05 · Quantifiers and sets | 93.878% | Setup & sourceDecision reference DEVELOPMENT1342 · F05 · Quantifiers and sets Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 49 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · F06 · Comparisons | 92.500% | Setup & sourceDecision reference DEVELOPMENT1342 · F06 · Comparisons Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 40 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · F07 · Scheduling | 65.789% | Setup & sourceDecision reference DEVELOPMENT1342 · F07 · Scheduling Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 76 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · F08 · One-to-one assignments | 77.612% | Setup & sourceDecision reference DEVELOPMENT1342 · F08 · One-to-one assignments Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 67 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · F09 · Exact truth counting | 52.113% | Setup & sourceDecision reference DEVELOPMENT1342 · F09 · Exact truth counting Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 71 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · F10 · Truth-teller consistency | 52.703% | Setup & sourceDecision reference DEVELOPMENT1342 · F10 · Truth-teller consistency Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 74 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · F11 · Sufficiency and inconsistency | 73.171% | Setup & sourceDecision reference DEVELOPMENT1342 · F11 · Sufficiency and inconsistency Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 41 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · F12 · Object swaps | 65.385% | Setup & sourceDecision reference DEVELOPMENT1342 · F12 · Object swaps Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 52 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · F13 · Sequential procedures | 25.000% | Setup & sourceDecision reference DEVELOPMENT1342 · F13 · Sequential procedures Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 48 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · F14 · Temporal intervals | 83.333% | Setup & sourceDecision reference DEVELOPMENT1342 · F14 · Temporal intervals Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 42 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · F15 · Spatial tracking | 63.265% | Setup & sourceDecision reference DEVELOPMENT1342 · F15 · Spatial tracking Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 49 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · F16 · Reference binding | 70.000% | Setup & sourceDecision reference DEVELOPMENT1342 · F16 · Reference binding Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 50 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · F17 · Beliefs and perspectives | 86.000% | Setup & sourceDecision reference DEVELOPMENT1342 · F17 · Beliefs and perspectives Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 50 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · F18 · Causal intervention | 70.000% | Setup & sourceDecision reference DEVELOPMENT1342 · F18 · Causal intervention Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 50 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · F19 · Exceptions and priorities | 94.828% | Setup & sourceDecision reference DEVELOPMENT1342 · F19 · Exceptions and priorities Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 58 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · F20 · Planning | 88.372% | Setup & sourceDecision reference DEVELOPMENT1342 · F20 · Planning Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 43 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · F21 · Directed reachability | 93.023% | Setup & sourceDecision reference DEVELOPMENT1342 · F21 · Directed reachability Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 43 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · F22 · Preference ordering | 92.157% | Setup & sourceDecision reference DEVELOPMENT1342 · F22 · Preference ordering Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 51 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · F23 · Rule counterexamples | 98.077% | Setup & sourceDecision reference DEVELOPMENT1342 · F23 · Rule counterexamples Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 52 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · F24 · Authority and stale records | 93.023% | Setup & sourceDecision reference DEVELOPMENT1342 · F24 · Authority and stale records Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 43 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · F25 · Fault diagnosis | 92.000% | Setup & sourceDecision reference DEVELOPMENT1342 · F25 · Fault diagnosis Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 50 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · F26 · Probabilistic risk | 62.500% | Setup & sourceDecision reference DEVELOPMENT1342 · F26 · Probabilistic risk Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 8 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · F27 · Value of information | 37.500% | Setup & sourceDecision reference DEVELOPMENT1342 · F27 · Value of information Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 8 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · F28 · Robust decisions without a prior | 37.500% | Setup & sourceDecision reference DEVELOPMENT1342 · F28 · Robust decisions without a prior Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 8 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · F29 · Strategic decisions | 62.500% | Setup & sourceDecision reference DEVELOPMENT1342 · F29 · Strategic decisions Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 8 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · F30 · Concurrent-history consistency | 62.500% | Setup & sourceDecision reference DEVELOPMENT1342 · F30 · Concurrent-history consistency Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 8 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · F31 · Information-flow security | 62.500% | Setup & sourceDecision reference DEVELOPMENT1342 · F31 · Information-flow security Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 8 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · release-exclusion-diagnostic | 77.241% | Setup & sourceDecision reference DEVELOPMENT1342 · release-exclusion-diagnostic Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 1305 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · new-domains | 54.167% | Setup & sourceDecision reference DEVELOPMENT1342 · new-domains Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 48 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · Confidence≥0.8 · selected accuracy | 89.815% | Setup & sourceDecision reference DEVELOPMENT1342 · Confidence≥0.8 · selected accuracy Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 972 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · Confidence≥0.9 · selected accuracy | 92.642% | Setup & sourceDecision reference DEVELOPMENT1342 · Confidence≥0.9 · selected accuracy Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 897 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |
| Decision reference DEVELOPMENT1342 · Confidence≥0.95 · selected accuracy | 94.537% | Setup & sourceDecision reference DEVELOPMENT1342 · Confidence≥0.95 · selected accuracy Source consolidated development overview19October2026; Mercury Decide direct native Decision route through OpenRouter, returned inception/mercury-decide-20260930 on1342calls; Inception provider.1136items18October+206items19October (sourceToronto dates). First-attempt measurements, failed deliveries remain failures. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. NOT a held-out scored release.37author-development cases permanently excluded from release diagnostics; dependent variants/correlated routes and unbalanced31families. Six new domains have only8questions each. No independent-trial inference or broad reliability claim. Mixed original dates/providers/request loads, not synchronized reruns. Median/p95 excludes retry/queue waits. Captured charges/prices are dated workload observations, not token tariffs. Checked / reported: 2026-10-20 · Samples: 842 Snapshot: 2026-10-19 · Revision: 419978f2753b4e3bb70a8be9aca7fe0c9e59bc9f · Published summary observations; upstream task/result terms retained Result source · Benchmark source |