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Model profilesv c917915

Sarvam Prism

Explore Sarvam Prism: exact decision configuration, published specifications, source-linked benchmarks and API tariffs when available.

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68 recorded observations. Published results retain their source and setup; no Examenos evaluation was run. Missing results are not zero. How to read these comparisons →

Official / vendor · Sarvam Prism launch post (vendor measured)

Sarvam Prism · Official / vendor · Sarvam Prism launch post (vendor measured)
EvaluationResultEvidence
Sarvam Prism launch · Average of three indices71.8
Setup & source

Mean of the Jev Decision Index, Sarvam’s recreation of the Artificial Analysis Decision Index and Sarvam’s internal Indian-language benchmark.

Sarvam launch run, 3 November 2026 post.

Printed in the vendor's own table.

Sarvam's own runs of 25 decision models in its launch post, each model on its developers' own inference code. Sarvam-measured response times are medians over 1,000 requests sent one at a time on one NVIDIA B200. Never compare with the Jev board, Artificial Analysis or other vendors' runs. Not ranked here.

Checked / reported: 2026-11-04 · Samples: Not published

Snapshot: 2026-11-03 · Revision: Read 2026-11-04 · Published observations; result reuse terms not specified

Result source · Benchmark source
Sarvam Prism launch · Jev Decision Index (37 public benchmarks)67.0
Setup & source

Sarvam’s run of the Jev Decision Index over its 37 public benchmarks.

Sarvam launch run, 3 November 2026 post.

Printed in the vendor's own table.

Sarvam's own runs of 25 decision models in its launch post, each model on its developers' own inference code. Sarvam-measured response times are medians over 1,000 requests sent one at a time on one NVIDIA B200. Never compare with the Jev board, Artificial Analysis or other vendors' runs. Not ranked here.

Checked / reported: 2026-11-04 · Samples: Not published

Snapshot: 2026-11-03 · Revision: Read 2026-11-04 · Published observations; result reuse terms not specified

Result source · Benchmark source
Sarvam Prism launch · Sarvam recreation of the Artificial Analysis Decision Index65.9
Setup & source

Sarvam’s own recreation of the Artificial Analysis Decision Index, with AA’s private knowledge test replaced by curated hard questions that include an “I don’t know” option. Not an Artificial Analysis result; never enters aa-decision-index-v1.

Sarvam launch run, 3 November 2026 post.

Printed in the vendor's own table.

Sarvam's own runs of 25 decision models in its launch post, each model on its developers' own inference code. Sarvam-measured response times are medians over 1,000 requests sent one at a time on one NVIDIA B200. Never compare with the Jev board, Artificial Analysis or other vendors' runs. Not ranked here.

Checked / reported: 2026-11-04 · Samples: Not published

Snapshot: 2026-11-03 · Revision: Read 2026-11-04 · Published observations; result reuse terms not specified

Result source · Benchmark source
Sarvam Prism launch · Indian-language benchmark (internal)82.5
Setup & source

Sarvam’s internal Indian-language benchmark; tasks and scoring unpublished.

Sarvam launch run, 3 November 2026 post.

Printed in the vendor's own table.

Sarvam's own runs of 25 decision models in its launch post, each model on its developers' own inference code. Sarvam-measured response times are medians over 1,000 requests sent one at a time on one NVIDIA B200. Never compare with the Jev board, Artificial Analysis or other vendors' runs. Not ranked here.

Checked / reported: 2026-11-04 · Samples: Not published

Snapshot: 2026-11-03 · Revision: Read 2026-11-04 · Published observations; result reuse terms not specified

Result source · Benchmark source
Sarvam Prism launch · Median response time, one NVIDIA B20044 ms
Setup & source

Median per-request response time over 1,000 requests sent one at a time on one NVIDIA B200, with each model on its developers’ own inference code. Jev 1.14 and Microsoft-Decision-1 are API-only: the post plots their publicly reported times (196 ms and 85 ms) and gives 431 ms and 533 ms measured from Sarvam’s cluster, a different setup, so neither has a row.

Sarvam launch run, 3 November 2026 post. Timed by Sarvam on one B200.

Printed in the vendor's own table.

Sarvam's own runs of 25 decision models in its launch post, each model on its developers' own inference code. Sarvam-measured response times are medians over 1,000 requests sent one at a time on one NVIDIA B200. Never compare with the Jev board, Artificial Analysis or other vendors' runs. Not ranked here.

Checked / reported: 2026-11-04 · Samples: 1000

Snapshot: 2026-11-03 · Revision: Read 2026-11-04 · Published observations; result reuse terms not specified

Result source · Benchmark source
Sarvam Prism launch · Actual mistakes at ≥90% confidence, English2.2%
Setup & source

Share of answers given with at least 90% confidence that are wrong. English: 37 public Jev Decision Index benchmarks, 226,088 questions. Lower is better; compare with the expected rate.

Sarvam launch run, 3 November 2026 post. Answers given with at least 90% confidence.

Printed in the vendor's own table.

Sarvam's own runs of 25 decision models in its launch post, each model on its developers' own inference code. Sarvam-measured response times are medians over 1,000 requests sent one at a time on one NVIDIA B200. Never compare with the Jev board, Artificial Analysis or other vendors' runs. Not ranked here.

Checked / reported: 2026-11-04 · Samples: 226088

Snapshot: 2026-11-03 · Revision: Read 2026-11-04 · Published observations; result reuse terms not specified

Result source · Benchmark source
Sarvam Prism launch · Expected mistakes at ≥90% confidence, English3.3%
Setup & source

Mistake rate the model’s own confidence implies on the same answers. English: 37 public Jev Decision Index benchmarks, 226,088 questions. A reference for the actual rate, not a quality score.

Sarvam launch run, 3 November 2026 post. Answers given with at least 90% confidence.

Printed in the vendor's own table.

Sarvam's own runs of 25 decision models in its launch post, each model on its developers' own inference code. Sarvam-measured response times are medians over 1,000 requests sent one at a time on one NVIDIA B200. Never compare with the Jev board, Artificial Analysis or other vendors' runs. Not ranked here.

Checked / reported: 2026-11-04 · Samples: 226088

Snapshot: 2026-11-03 · Revision: Read 2026-11-04 · Published observations; result reuse terms not specified

Result source · Benchmark source
Sarvam Prism launch · Actual mistakes at ≥90% confidence, Indian languages4.4%
Setup & source

Share of answers given with at least 90% confidence that are wrong. Indian languages: the same benchmarks in 10 Indian languages and Hinglish, 20,108 questions. Lower is better; compare with the expected rate.

Sarvam launch run, 3 November 2026 post. Answers given with at least 90% confidence.

Printed in the vendor's own table.

Sarvam's own runs of 25 decision models in its launch post, each model on its developers' own inference code. Sarvam-measured response times are medians over 1,000 requests sent one at a time on one NVIDIA B200. Never compare with the Jev board, Artificial Analysis or other vendors' runs. Not ranked here.

Checked / reported: 2026-11-04 · Samples: 20108

Snapshot: 2026-11-03 · Revision: Read 2026-11-04 · Published observations; result reuse terms not specified

Result source · Benchmark source
Sarvam Prism launch · Expected mistakes at ≥90% confidence, Indian languages5.4%
Setup & source

Mistake rate the model’s own confidence implies on the same answers. Indian languages: the same benchmarks in 10 Indian languages and Hinglish, 20,108 questions. A reference for the actual rate, not a quality score.

Sarvam launch run, 3 November 2026 post. Answers given with at least 90% confidence.

Printed in the vendor's own table.

Sarvam's own runs of 25 decision models in its launch post, each model on its developers' own inference code. Sarvam-measured response times are medians over 1,000 requests sent one at a time on one NVIDIA B200. Never compare with the Jev board, Artificial Analysis or other vendors' runs. Not ranked here.

Checked / reported: 2026-11-04 · Samples: 20108

Snapshot: 2026-11-03 · Revision: Read 2026-11-04 · Published observations; result reuse terms not specified

Result source · Benchmark source
Sarvam Prism launch · Answers that change when options are shuffled0.0%
Setup & source

Share of questions whose answer changes across shuffled option orders. 2,000 questions run four times with options shuffled into four orders. Prism’s row uses its fixed internal option order, which the API applies. Lower is better.

Sarvam launch run, 3 November 2026 post. 2,000 questions run four times with options shuffled into four orders.

Printed in the vendor's own table.

Sarvam's own runs of 25 decision models in its launch post, each model on its developers' own inference code. Sarvam-measured response times are medians over 1,000 requests sent one at a time on one NVIDIA B200. Never compare with the Jev board, Artificial Analysis or other vendors' runs. Not ranked here.

Checked / reported: 2026-11-04 · Samples: 2000

Snapshot: 2026-11-03 · Revision: Read 2026-11-04 · Published observations; result reuse terms not specified

Result source · Benchmark source
Sarvam Prism launch · Answers that change when options are shuffled, options read as sent4.0%
Setup & source

The same test with Prism reading options in the order sent, without its fixed-order step. 2,000 questions run four times with options shuffled into four orders. Lower is better.

Sarvam launch run, 3 November 2026 post. 2,000 questions run four times with options shuffled into four orders.

Printed in the vendor's own table.

Sarvam's own runs of 25 decision models in its launch post, each model on its developers' own inference code. Sarvam-measured response times are medians over 1,000 requests sent one at a time on one NVIDIA B200. Never compare with the Jev board, Artificial Analysis or other vendors' runs. Not ranked here.

Checked / reported: 2026-11-04 · Samples: 2000

Snapshot: 2026-11-03 · Revision: Read 2026-11-04 · Published observations; result reuse terms not specified

Result source · Benchmark source
Sarvam Prism launch · Answers that change when the same request is re-sent0.0%
Setup & source

Share of 2,000 questions whose answer changes when the identical request is sent four times. Lower is better.

Sarvam launch run, 3 November 2026 post. Same request re-sent four times.

Printed in the vendor's own table.

Sarvam's own runs of 25 decision models in its launch post, each model on its developers' own inference code. Sarvam-measured response times are medians over 1,000 requests sent one at a time on one NVIDIA B200. Never compare with the Jev board, Artificial Analysis or other vendors' runs. Not ranked here.

Checked / reported: 2026-11-04 · Samples: 2000

Snapshot: 2026-11-03 · Revision: Read 2026-11-04 · Published observations; result reuse terms not specified

Result source · Benchmark source
Sarvam Prism launch · Judging recorded agent runs · Did the task succeed?75.0%
Setup & source

Accuracy on whether each recorded run completed its task. Sarvam’s set of 700 recorded agent runs (1,770 questions): AgentRewardBench web-agent runs and τ-bench conversations for success and review, Who&When and TRAIL failed runs for the responsible agent. Labels come from human experts or the environment’s own check, never another model.

Sarvam launch run, 3 November 2026 post.

Printed in the vendor's own table.

Sarvam's own runs of 25 decision models in its launch post, each model on its developers' own inference code. Sarvam-measured response times are medians over 1,000 requests sent one at a time on one NVIDIA B200. Never compare with the Jev board, Artificial Analysis or other vendors' runs. Not ranked here.

Checked / reported: 2026-11-04 · Samples: Not published

Snapshot: 2026-11-03 · Revision: Read 2026-11-04 · Published observations; result reuse terms not specified

Result source · Benchmark source
Sarvam Prism launch · Judging recorded agent runs · Does the run need human review?86.4%
Setup & source

Accuracy on whether each recorded run needs a person to review it. Sarvam’s set of 700 recorded agent runs (1,770 questions): AgentRewardBench web-agent runs and τ-bench conversations for success and review, Who&When and TRAIL failed runs for the responsible agent. Labels come from human experts or the environment’s own check, never another model.

Sarvam launch run, 3 November 2026 post.

Printed in the vendor's own table.

Sarvam's own runs of 25 decision models in its launch post, each model on its developers' own inference code. Sarvam-measured response times are medians over 1,000 requests sent one at a time on one NVIDIA B200. Never compare with the Jev board, Artificial Analysis or other vendors' runs. Not ranked here.

Checked / reported: 2026-11-04 · Samples: Not published

Snapshot: 2026-11-03 · Revision: Read 2026-11-04 · Published observations; result reuse terms not specified

Result source · Benchmark source
Sarvam Prism launch · Judging recorded agent runs · Which agent caused the failure?69.6%
Setup & source

Accuracy on which agent caused each failed run. Sarvam’s set of 700 recorded agent runs (1,770 questions): AgentRewardBench web-agent runs and τ-bench conversations for success and review, Who&When and TRAIL failed runs for the responsible agent. Labels come from human experts or the environment’s own check, never another model.

Sarvam launch run, 3 November 2026 post.

Printed in the vendor's own table.

Sarvam's own runs of 25 decision models in its launch post, each model on its developers' own inference code. Sarvam-measured response times are medians over 1,000 requests sent one at a time on one NVIDIA B200. Never compare with the Jev board, Artificial Analysis or other vendors' runs. Not ranked here.

Checked / reported: 2026-11-04 · Samples: Not published

Snapshot: 2026-11-03 · Revision: Read 2026-11-04 · Published observations; result reuse terms not specified

Result source · Benchmark source
Sarvam Prism launch · Judging recorded agent runs · All questions78.5%
Setup & source

Accuracy over all 1,770 questions, which also include repeated loops, side effects, the first wrong step and the error type. Sarvam’s set of 700 recorded agent runs (1,770 questions): AgentRewardBench web-agent runs and τ-bench conversations for success and review, Who&When and TRAIL failed runs for the responsible agent. Labels come from human experts or the environment’s own check, never another model.

Sarvam launch run, 3 November 2026 post.

Printed in the vendor's own table.

Sarvam's own runs of 25 decision models in its launch post, each model on its developers' own inference code. Sarvam-measured response times are medians over 1,000 requests sent one at a time on one NVIDIA B200. Never compare with the Jev board, Artificial Analysis or other vendors' runs. Not ranked here.

Checked / reported: 2026-11-04 · Samples: 1770

Snapshot: 2026-11-03 · Revision: Read 2026-11-04 · Published observations; result reuse terms not specified

Result source · Benchmark source
Sarvam Prism launch · Cybersecurity decisions (internal, 5,517 questions)89.0%
Setup & source

Accuracy on Sarvam’s internal benchmark of 5,517 questions across nine tasks built from vulnerabilities published since July 2026: phishing artifacts, jailbreak prompts and MITRE attack-type classification. Sarvam says it will release the set later.

Sarvam launch run, 3 November 2026 post.

Printed in the vendor's own table.

Sarvam's own runs of 25 decision models in its launch post, each model on its developers' own inference code. Sarvam-measured response times are medians over 1,000 requests sent one at a time on one NVIDIA B200. Never compare with the Jev board, Artificial Analysis or other vendors' runs. Not ranked here.

Checked / reported: 2026-11-04 · Samples: 5517

Snapshot: 2026-11-03 · Revision: Read 2026-11-04 · Published observations; result reuse terms not specified

Result source · Benchmark source

Evaluator-published · etsabary System 1 Decision Benchmark

Sarvam Prism · Evaluator-published · etsabary System 1 Decision Benchmark
EvaluationResultEvidence
System 1 Decision Benchmark v4 · All-question accuracy63.978%
Setup & source

Correct answers over all 2,157 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 2157

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · Macro-category accuracy63.846%
Setup & source

Equal-weight mean over the 43 categories.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 2157

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · Added 140 AQuA questions60.714%
Setup & source

Accuracy on the 140 questions new in v4.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 140

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · Accuracy among usable responses63.978%
Setup & source

Correct answers over usable responses only; shown beside coverage.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 2157

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · Usable-response coverage100.000%
Setup & source

Share of the 2,157 inputs with a usable response.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 2157

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · Median client time407.4 ms
Setup & source

Pooled primary client time, network and failed requests included.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 2157

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · P95 client time465.5 ms
Setup & source

Pooled primary client time, network and failed requests included.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 2157

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F01 · Lookup and filtering88.372%
Setup & source

Lookup and filtering: 43 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 43

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F02 · Forward conditionals89.130%
Setup & source

Forward conditionals: 46 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 46

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F03 · Necessary conditions82.692%
Setup & source

Necessary conditions: 52 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 52

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F04 · Boolean scope92.593%
Setup & source

Boolean scope: 54 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 54

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F05 · Quantifiers and sets89.796%
Setup & source

Quantifiers and sets: 49 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 49

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F06 · Comparisons92.500%
Setup & source

Comparisons: 40 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 40

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F07 · Scheduling57.895%
Setup & source

Scheduling: 76 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 76

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F08 · One-to-one assignments85.075%
Setup & source

One-to-one assignments: 67 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 67

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F09 · Exact truth counting42.254%
Setup & source

Exact truth counting: 71 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 71

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F10 · Truth-teller consistency48.649%
Setup & source

Truth-teller consistency: 74 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 74

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F11 · Sufficiency and inconsistency65.854%
Setup & source

Sufficiency and inconsistency: 41 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 41

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F12 · Object swaps42.308%
Setup & source

Object swaps: 52 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 52

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F13 · Sequential procedures22.917%
Setup & source

Sequential procedures: 48 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 48

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F14 · Temporal intervals78.571%
Setup & source

Temporal intervals: 42 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 42

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F15 · Spatial tracking51.020%
Setup & source

Spatial tracking: 49 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 49

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F16 · Reference binding56.000%
Setup & source

Reference binding: 50 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 50

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F17 · Beliefs and perspectives96.000%
Setup & source

Beliefs and perspectives: 50 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 50

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F18 · Causal intervention88.000%
Setup & source

Causal intervention: 50 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 50

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F19 · Exceptions and priorities87.931%
Setup & source

Exceptions and priorities: 58 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 58

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F20 · Planning95.349%
Setup & source

Planning: 43 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 43

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F21 · Directed reachability93.023%
Setup & source

Directed reachability: 43 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 43

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F22 · Preference ordering88.235%
Setup & source

Preference ordering: 51 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 51

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F23 · Rule counterexamples96.154%
Setup & source

Rule counterexamples: 52 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 52

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F24 · Authority and stale records88.372%
Setup & source

Authority and stale records: 43 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 43

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F25 · Fault diagnosis88.000%
Setup & source

Fault diagnosis: 50 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 50

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F26 · Probabilistic risk50.000%
Setup & source

Probabilistic risk: 40 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 40

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F27 · Value of information20.000%
Setup & source

Value of information: 40 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 40

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F28 · Robust decisions without a prior25.000%
Setup & source

Robust decisions without a prior: 40 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 40

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F29 · Strategic decisions42.500%
Setup & source

Strategic decisions: 40 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 40

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F30 · Concurrent-history consistency50.000%
Setup & source

Concurrent-history consistency: 40 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 40

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F31 · Information-flow security42.500%
Setup & source

Information-flow security: 40 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 40

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F32 · Numerical pattern recognition52.174%
Setup & source

Numerical pattern recognition: 23 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 23

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · F33 · Quantitative reasoning54.000%
Setup & source

Quantitative reasoning: 200 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 200

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · P01 · Understanding requests and routing70.000%
Setup & source

Understanding requests and routing: 40 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 40

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · P02 · Recognizing multiple requested actions47.500%
Setup & source

Recognizing multiple requested actions: 40 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 40

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · P03 · Tracking current conversational intention42.500%
Setup & source

Tracking current conversational intention: 40 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 40

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · P04 · Selecting a tool or requesting clarification52.500%
Setup & source

Selecting a tool or requesting clarification: 40 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 40

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · P05 · Checking authorization and scope50.000%
Setup & source

Checking authorization and scope: 40 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 40

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · P06 · Making decisions with untrusted content35.000%
Setup & source

Making decisions with untrusted content: 40 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 40

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · P07 · Applying a contextual content policy57.500%
Setup & source

Applying a contextual content policy: 40 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 40

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · P08 · Extracting and normalizing facts45.000%
Setup & source

Extracting and normalizing facts: 40 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 40

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · P09 · Checking claims against supplied evidence62.500%
Setup & source

Checking claims against supplied evidence: 40 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 40

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · P10 · Assigning severity or priority from a rubric40.000%
Setup & source

Assigning severity or priority from a rubric: 40 questions.

Sarvam Prism · direct API; Hosted native; collected 2026-11-05 to 2026-11-05 America/Toronto (1 days); one primary response per input, no scored retries. Identity: Exact provider-returned model identifier; hidden weights are not independently attested.

129 no-answer transient failures were retried before the selected answers; their latency is excluded.

Development benchmark, not an independently sampled test: 2,157 questions in 43 categories, the unchanged 2,017-question v3 bank plus 140 AQuA questions with source keys. The 23 numerical-pattern (MAIQ) and 200 quantitative (AQuA) questions are borrowed; the rest is predominantly project-developed with model-guided development, and Jev plus retained Microsoft and Drex feedback are development exposure. The AQuA additions were selected for misses by Fastino, Mammoth, GPT-6 Sol, D3 Ultra and Drex Max, which spreads but does not remove selection bias. Earlier primary responses are retained and newly added inputs were collected in later sessions, so one configuration can span several dates and routes. Strict accuracy counts an unusable response as not correct in the fixed denominator. Timing pools primary client times with the network included. The scoring key is private. A different number from v2 is a new bank, not a model change. Not ranked here.

Checked / reported: 2026-11-08 · Samples: 40

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source
System 1 Decision Benchmark v4 · Tariff-based cost per 1,000 questions0.01944 USD/1k decisions
Setup & source

Estimate from a published tariff for calls without a reported charge, in USD per 1,000 questions; kept apart from reported charges.

Sarvam Prism · direct API; System 1 v4 ledger.

2157 calls at a published tariff out of 2,157. Sarvam's INR 4 per million input tokens at its illustrative INR 90 per USD, excluding tax; not a billing receipt.

Tariff-based estimate from the same ledger. Known run subtotal divided by 2,157 and multiplied by 1,000, not the bill for a separate 1,000-call run. A partial value is only the known subtotal: missing charges stay missing, so the true cost is higher by an unknown amount. Providers, routes, dates and access terms differ; these are not current tariffs. Free public access is not a price and has no row. Development benchmark; not ranked here.

Checked / reported: 2026-11-08 · Samples: 2157

Snapshot: 2026-11-06 · Revision: 224ee46dc1c16a8ecf2c154a2144b4d2fdc45de1 · Published summary observations; upstream task/result terms retained (AQuA-RAT Apache-2.0; MAIQ declared MIT, original question rights not established)

Result source · Benchmark source