Muse Wonder Full
Explore Muse Wonder Full from Meta: published specifications, source-linked vendor benchmarks, independent evaluator coverage and recorded pricing when available.
Compare Muse Wonder Full with other models →Compare subscription plansExplore data coverage
Pricing · OpenRouter
No OpenRouter pricing is recorded for this model. Missing rates are not free.
Official / vendor benchmarks
Default headline records. Own-vendor, peer-vendor and third-party provenance remain visible in evidence; configurations may differ.
| Benchmark / evaluator | Headline score | Evidence |
|---|---|---|
| Personal Superintelligence Index (Meta) | 59.1%max effort | All 1 recorded result & sources59.1% · raw 59.1 % Headline · max effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Internal seven-suite composite; official Meta PSI, not an independent index. Source checked 12 October 2026; evaluation date unpublished. Transcribed from model-card page 3 image; max effort except Full SWE-Marathon xhigh. https://research.meta.ai/static/muse-wonder-model-card |
| Harvey LAB-AA v1.1 (vendor-cited) | 13.1%max effort | All 1 recorded result & sources13.1% · raw 13.1 % Headline · max effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Vendor cites AA v1.1 hallucination-gated all-pass rate. Direct AA Harvey board checked separately; new Wonder configurations not yet in its 25-row table. Source checked 12 October 2026; evaluation date unpublished. Transcribed from model-card page 3 image; max effort except Full SWE-Marathon xhigh. https://research.meta.ai/static/muse-wonder-model-card |
| Finance Agent v2 (Vals harness, vendor reports) | 59.1%max effort | All 1 recorded result & sources59.1% · raw 59.1 % Headline · max effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Vendor cites Vals private-test-set accuracy; independently checked Vals values retain full published precision in evaluators.json. Source checked 12 October 2026; evaluation date unpublished. Transcribed from model-card page 3 image; max effort except Full SWE-Marathon xhigh. https://research.meta.ai/static/muse-wonder-model-card |
| HealthBench Professional | 62.3%max effort | All 1 recorded result & sources62.3% · raw 62.3 % Headline · max effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; 525 professional health questions; no tools, GPT-5.4 rubric grader, length-normalized weighted rubric score. Claude scores cited from their Anthropic system cards. Source checked 12 October 2026; evaluation date unpublished. Transcribed from model-card page 3 image; max effort except Full SWE-Marathon xhigh. https://research.meta.ai/static/muse-wonder-model-card |
| AutomationBench-AA (vendor-reported) | 45.4%max effort | All 1 recorded result & sources45.4% · raw 45.4 % Headline · max effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Vendor-cited strict pass@1: every deterministic end-state assertion must pass. Not AA model-page partial reward (68.09/71.33 for Wonder/Full). Source checked 12 October 2026; evaluation date unpublished. Transcribed from model-card page 3 image; max effort except Full SWE-Marathon xhigh. https://research.meta.ai/static/muse-wonder-model-card |
| GDP.PDF (vendor reports) | 33.2%max effort | All 1 recorded result & sources33.2% · raw 33.2 % Headline · max effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Vendor cites Surge professional PDF work score. Direct AA GDP.PDF all-pass for Full is 32.6, not the vendor-cited 33.2; keep separate. Source checked 12 October 2026; evaluation date unpublished. Transcribed from model-card page 3 image; max effort except Full SWE-Marathon xhigh. https://research.meta.ai/static/muse-wonder-model-card |
| JobBench | 75.3%max effort | All 1 recorded result & sources75.3% · raw 75.3 % Headline · max effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; 65 professional tasks across 35 occupations; mean rubric reward. Source checked 12 October 2026; evaluation date unpublished. Transcribed from model-card page 3 image; max effort except Full SWE-Marathon xhigh. https://research.meta.ai/static/muse-wonder-model-card |
| OSWorld V2.1 (108 tasks, partial reward) | 78.4%max effort | All 1 recorded result & sources78.4% · raw 78.4 % Headline · max effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Updated V2.1 108-task GUI workflows; common internal framework preserving task environments/graders. Opus is Anthropic provider-reported partial reward. Source checked 12 October 2026; evaluation date unpublished. Transcribed from model-card page 3 image; max effort except Full SWE-Marathon xhigh. https://research.meta.ai/static/muse-wonder-model-card |
| OSWorld V2.1 (108 tasks, binary) | 39.4%max effort | All 1 recorded result & sources39.4% · raw 39.4 % Headline · max effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Strict binary completion; Opus binary result absent, not zero. Source checked 12 October 2026; evaluation date unpublished. Transcribed from model-card page 3 image; max effort except Full SWE-Marathon xhigh. https://research.meta.ai/static/muse-wonder-model-card |
| MemoryBench (Meta) | 85.5%max effort | All 1 recorded result & sources85.5% · raw 85.5 % Headline · max effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Internal weighted rubric recall; 64K–100K-token multi-turn histories with distractors, conflicts and updates. Source checked 12 October 2026; evaluation date unpublished. Transcribed from model-card page 3 image; max effort except Full SWE-Marathon xhigh. https://research.meta.ai/static/muse-wonder-model-card |
| Terminal-Bench 4.0 (AA, vendor-cited) | 57.1%max effort | All 1 recorded result & sources57.1% · raw 57.1 % Headline · max effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Meta quotes AA reported accuracy; independent exact AA observations remain in evaluators.json. Source checked 12 October 2026; evaluation date unpublished. Transcribed from model-card page 3 image; max effort except Full SWE-Marathon xhigh. https://research.meta.ai/static/muse-wonder-model-card |
| DeepSWE v1.1 | 79%max effort | All 1 recorded result & sources79% · raw 79 % Headline · max effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; 113 tasks, 91 repositories, five languages, pass@1. Meta attributes Wonder/Full/Opus to Datacurve; GPT to OpenAI and Fable to Anthropic. Current public Datacurve board predates Wonder; retain vendor citation. Source checked 12 October 2026; evaluation date unpublished. Transcribed from model-card page 3 image; max effort except Full SWE-Marathon xhigh. https://research.meta.ai/static/muse-wonder-model-card |
| SWE-Marathon | 57.5%xhigh effort | All 1 recorded result & sources57.5% · raw 57.5 % Headline · xhigh effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Abundant AI pass@1; GPT uses Codex and Fable Claude Code, so not a common-harness comparison. Full effort xhigh. Do not conflate with SWE-Marathon v1.1 partial-reward records. Source checked 12 October 2026; evaluation date unpublished. Transcribed from model-card page 3 image; max effort except Full SWE-Marathon xhigh. https://research.meta.ai/static/muse-wonder-model-card |
| ProgramBench (Almost Solved) | 59%max effort | All 1 recorded result & sources59% · raw 59 % Headline · max effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; mini-swe-agent, internet disabled after setup, rollouts passing at least 95% of hidden tests; Almost Solved, not fully resolved. Exact task/revision details unpublished. Source checked 12 October 2026; evaluation date unpublished. Transcribed from model-card page 3 image; max effort except Full SWE-Marathon xhigh. https://research.meta.ai/static/muse-wonder-model-card |
| AA Intelligence Index (vendor-cited) | 56max effort | All 1 recorded result & sources56 · raw 56 index Headline · max effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Rounded vendor citation of AA Intelligence Index v4.3; exact independent index values kept separately. Source checked 12 October 2026; evaluation date unpublished. Transcribed from model-card page 3 image; max effort except Full SWE-Marathon xhigh. https://research.meta.ai/static/muse-wonder-model-card |
| FocusBench (Meta) | 54.2%max effort | All 1 recorded result & sources54.2% · raw 54.2 % Headline · max effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Meta internal personal-agent evaluation of persistent work through blockers, multiple interactions and dynamically changing environments, including housing, travel, IT and finance. Source checked 12 October 2026; evaluation date unpublished. Figure/table transcribed visually; do not infer unpublished configuration details. https://research.meta.ai/articles/introducing-muse-wonder/images/focusbench-light-v1.webp |
| Cyber defense compliance (Meta) | 93.3%max effort | All 1 recorded result & sources93.3% · raw 93.3 % Headline · max effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Meta announcement figure: compliance with defensive cyber requests. Higher is better; dataset, denominator, evaluation dates and detailed harness unpublished. Source checked 12 October 2026; evaluation date unpublished. Figure/table transcribed visually; do not infer unpublished configuration details. https://research.meta.ai/articles/introducing-muse-wonder/images/cyber-defense-compliance-light-v3.webp |
| Cyber misuse refusal (Meta) | 96.9%max effort | All 1 recorded result & sources96.9% · raw 96.9 % Headline · max effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Meta announcement figure: refusal of cyber misuse requests. Higher is better; dataset, denominator and detailed harness unpublished. Source checked 12 October 2026; evaluation date unpublished. Figure/table transcribed visually; do not infer unpublished configuration details. https://research.meta.ai/articles/introducing-muse-wonder/images/cyber-misuse-refusal-light-v2.webp |
| BioTIER refusal (Meta chart) | 98.7%max effort | All 1 recorded result & sources98.7% · raw 98.7 % Headline · max effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Meta launch figure BioTIER refusal rate. Language condition unspecified in the chart; retain separately from model-card English/multilingual/adversarial conditions. Source checked 12 October 2026; evaluation date unpublished. Figure/table transcribed visually; do not infer unpublished configuration details. https://research.meta.ai/articles/introducing-muse-wonder/images/bioweapon-refusal-light-v2.webp |
| Personal information mishandling (Meta) | 2.2%max effort | All 1 recorded result & sources2.2% · raw 2.2 % Headline · max effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Meta launch figure: rate of mishandling personal information; lower is better. Dataset, denominator and evaluation dates unpublished. Source checked 12 October 2026; evaluation date unpublished. Figure/table transcribed visually; do not infer unpublished configuration details. https://research.meta.ai/articles/introducing-muse-wonder/images/discretion-failure-light-v2.webp |
| Unauthorized code execution ASR (Meta) | 10.7%max effort | All 1 recorded result & sources10.7% · raw 10.7 % Headline · max effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Meta launch figure: unauthorized code execution attack success rate; lower is better. Exact prompt-injection harness and denominator unpublished. Source checked 12 October 2026; evaluation date unpublished. Figure/table transcribed visually; do not infer unpublished configuration details. https://research.meta.ai/articles/introducing-muse-wonder/images/unauthorized-code-execution-light-v2.webp |
| CyberGym | 88.4%unknown effort | All 1 recorded result & sources88.4% · raw 88.4 % Headline · unknown effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Model-card page 7: cyber capability; detailed budget/harness not stated. Source checked 12 October 2026; evaluation date unpublished. Figure/table transcribed visually; do not infer unpublished configuration details. https://research.meta.ai/static/muse-wonder-model-card |
| ExploitBench (Meta Wonder assessment) | 58.9%unknown effort | All 1 recorded result & sources58.9% · raw 58.9 % Headline · unknown effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Page 7; revision and detailed harness unpublished; do not merge with dated V8 subsets. Source checked 12 October 2026; evaluation date unpublished. Figure/table transcribed visually; do not infer unpublished configuration details. https://research.meta.ai/static/muse-wonder-model-card |
| ExploitGym (Meta, intended-vulnerability flags) | 21 flagsunknown effort | All 1 recorded result & sources21 flags · raw 21 flags Headline · unknown effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Page 7: intended-vulnerability exploitations, comparable to published ranking. GPT-cyber verification independently confirmed with Gemini 3.1 Pro. Source checked 12 October 2026; evaluation date unpublished. Figure/table transcribed visually; do not infer unpublished configuration details. https://research.meta.ai/static/muse-wonder-model-card |
| ExploitGym (Meta, all captured flags) | 92 flagsunknown effort | All 1 recorded result & sources92 flags · raw 92 flags Headline · unknown effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Page 7: 92 flags captured, but 71 used unintended vulnerabilities and only 21 intended. Not comparable with intended-only ranking; count, not percent. Source checked 12 October 2026; evaluation date unpublished. Figure/table transcribed visually; do not infer unpublished configuration details. https://research.meta.ai/static/muse-wonder-model-card |
| Cyberbench single-turn ASR (Meta) | 0.8%unknown effort | All 1 recorded result & sources0.8% · raw 0.8 % Headline · unknown effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Model-card page 8: adversarial refusal attack success rate; lower is better, not refusal rate. Detailed task count and harness unspecified. Source checked 12 October 2026; evaluation date unpublished. Figure/table transcribed visually; do not infer unpublished configuration details. https://research.meta.ai/static/muse-wonder-model-card |
| Cyberbench multi-turn ASR (Meta) | 0.8%unknown effort | All 1 recorded result & sources0.8% · raw 0.8 % Headline · unknown effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Model-card page 8: adversarial refusal attack success rate; lower is better, not refusal rate. Detailed task count and harness unspecified. Source checked 12 October 2026; evaluation date unpublished. Figure/table transcribed visually; do not infer unpublished configuration details. https://research.meta.ai/static/muse-wonder-model-card |
| Polyguard Cyber single-turn ASR (Meta) | 1.1%unknown effort | All 1 recorded result & sources1.1% · raw 1.1 % Headline · unknown effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Model-card page 8: adversarial refusal attack success rate; lower is better, not refusal rate. PolyGuard cyber subset only. Detailed task count and harness unspecified. Source checked 12 October 2026; evaluation date unpublished. Figure/table transcribed visually; do not infer unpublished configuration details. https://research.meta.ai/static/muse-wonder-model-card |
| Polyguard Cyber multi-turn ASR (Meta) | 2.3%unknown effort | All 1 recorded result & sources2.3% · raw 2.3 % Headline · unknown effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Model-card page 8: adversarial refusal attack success rate; lower is better, not refusal rate. PolyGuard cyber subset only. Detailed task count and harness unspecified. Source checked 12 October 2026; evaluation date unpublished. Figure/table transcribed visually; do not infer unpublished configuration details. https://research.meta.ai/static/muse-wonder-model-card |
| Redcode single-turn ASR (Meta) | 9%unknown effort | All 1 recorded result & sources9% · raw 9 % Headline · unknown effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Model-card page 8: adversarial refusal attack success rate; lower is better, not refusal rate. Detailed task count and harness unspecified. Source checked 12 October 2026; evaluation date unpublished. Figure/table transcribed visually; do not infer unpublished configuration details. https://research.meta.ai/static/muse-wonder-model-card |
| Redcode multi-turn ASR (Meta) | 8%unknown effort | All 1 recorded result & sources8% · raw 8 % Headline · unknown effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Model-card page 8: adversarial refusal attack success rate; lower is better, not refusal rate. Detailed task count and harness unspecified. Source checked 12 October 2026; evaluation date unpublished. Figure/table transcribed visually; do not infer unpublished configuration details. https://research.meta.ai/static/muse-wonder-model-card |
| SecureBio MBCT (Meta) | 59.6%unknown effort | All 1 recorded result & sources59.6% · raw 59.6 % Headline · unknown effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Model-card page 9: dual-use proxy capability, not refusal. SeqQA explicitly uses tools; ABC Fragment Design and Screening Evasion have no numeric scores and remain omitted. Meta BDT averages five tasks from three categories. Source checked 12 October 2026; evaluation date unpublished. Figure/table transcribed visually; do not infer unpublished configuration details. https://research.meta.ai/static/muse-wonder-model-card |
| SecureBio HPCT (Meta) | 66.5%unknown effort | All 1 recorded result & sources66.5% · raw 66.5 % Headline · unknown effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Model-card page 9: dual-use proxy capability, not refusal. SeqQA explicitly uses tools; ABC Fragment Design and Screening Evasion have no numeric scores and remain omitted. Meta BDT averages five tasks from three categories. Source checked 12 October 2026; evaluation date unpublished. Figure/table transcribed visually; do not infer unpublished configuration details. https://research.meta.ai/static/muse-wonder-model-card |
| SecureBio VCT (Meta) | 55.9%unknown effort | All 1 recorded result & sources55.9% · raw 55.9 % Headline · unknown effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Model-card page 9: dual-use proxy capability, not refusal. SeqQA explicitly uses tools; ABC Fragment Design and Screening Evasion have no numeric scores and remain omitted. Meta BDT averages five tasks from three categories. Source checked 12 October 2026; evaluation date unpublished. Figure/table transcribed visually; do not infer unpublished configuration details. https://research.meta.ai/static/muse-wonder-model-card |
| SecureBio average (Meta) | 60.7%unknown effort | All 1 recorded result & sources60.7% · raw 60.7 % Headline · unknown effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Model-card page 9: dual-use proxy capability, not refusal. SeqQA explicitly uses tools; ABC Fragment Design and Screening Evasion have no numeric scores and remain omitted. Meta BDT averages five tasks from three categories. Source checked 12 October 2026; evaluation date unpublished. Figure/table transcribed visually; do not infer unpublished configuration details. https://research.meta.ai/static/muse-wonder-model-card |
| LAB-Bench v1 ProtocolQA (Meta) | 89%unknown effort | All 1 recorded result & sources89% · raw 89 % Headline · unknown effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Model-card page 9: dual-use proxy capability, not refusal. SeqQA explicitly uses tools; ABC Fragment Design and Screening Evasion have no numeric scores and remain omitted. Meta BDT averages five tasks from three categories. Source checked 12 October 2026; evaluation date unpublished. Figure/table transcribed visually; do not infer unpublished configuration details. https://research.meta.ai/static/muse-wonder-model-card |
| LAB-Bench v1 SeqQA + tools (Meta) | 95.6%unknown effort | All 1 recorded result & sources95.6% · raw 95.6 % Headline · unknown effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Model-card page 9: dual-use proxy capability, not refusal. SeqQA explicitly uses tools; ABC Fragment Design and Screening Evasion have no numeric scores and remain omitted. Meta BDT averages five tasks from three categories. Source checked 12 October 2026; evaluation date unpublished. Figure/table transcribed visually; do not infer unpublished configuration details. https://research.meta.ai/static/muse-wonder-model-card |
| ABC Bench liquid handling (Meta) | 100%unknown effort | All 1 recorded result & sources100% · raw 100 % Headline · unknown effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Model-card page 9: dual-use proxy capability, not refusal. SeqQA explicitly uses tools; ABC Fragment Design and Screening Evasion have no numeric scores and remain omitted. Meta BDT averages five tasks from three categories. Source checked 12 October 2026; evaluation date unpublished. Figure/table transcribed visually; do not infer unpublished configuration details. https://research.meta.ai/static/muse-wonder-model-card |
| Meta BioDesign Tools (Meta) | 79.4%unknown effort | All 1 recorded result & sources79.4% · raw 79.4 % Headline · unknown effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Model-card page 9: dual-use proxy capability, not refusal. SeqQA explicitly uses tools; ABC Fragment Design and Screening Evasion have no numeric scores and remain omitted. Meta BDT averages five tasks from three categories. Source checked 12 October 2026; evaluation date unpublished. Figure/table transcribed visually; do not infer unpublished configuration details. https://research.meta.ai/static/muse-wonder-model-card |
| BioTIER english (Meta) | 98.7%unknown effort | All 1 recorded result & sources98.7% · raw 98.7 % Headline · unknown effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Model-card page 10: high-risk bio/chem prompt refusal rate, higher is better. Multilingual condition spans ten language buckets. Detailed denominator unpublished. Source checked 12 October 2026; evaluation date unpublished. Figure/table transcribed visually; do not infer unpublished configuration details. https://research.meta.ai/static/muse-wonder-model-card |
| BioTIER multilingual (Meta) | 98.7%unknown effort | All 1 recorded result & sources98.7% · raw 98.7 % Headline · unknown effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Model-card page 10: high-risk bio/chem prompt refusal rate, higher is better. Multilingual condition spans ten language buckets. Detailed denominator unpublished. Source checked 12 October 2026; evaluation date unpublished. Figure/table transcribed visually; do not infer unpublished configuration details. https://research.meta.ai/static/muse-wonder-model-card |
| BioTIER adversarial (Meta) | 98.2%unknown effort | All 1 recorded result & sources98.2% · raw 98.2 % Headline · unknown effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Model-card page 10: high-risk bio/chem prompt refusal rate, higher is better. Multilingual condition spans ten language buckets. Detailed denominator unpublished. Source checked 12 October 2026; evaluation date unpublished. Figure/table transcribed visually; do not infer unpublished configuration details. https://research.meta.ai/static/muse-wonder-model-card |
| Chemistry refusal english (Meta) | 100%unknown effort | All 1 recorded result & sources100% · raw 100 % Headline · unknown effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Model-card page 10: high-risk bio/chem prompt refusal rate, higher is better. Multilingual condition spans ten language buckets. Detailed denominator unpublished. Source checked 12 October 2026; evaluation date unpublished. Figure/table transcribed visually; do not infer unpublished configuration details. https://research.meta.ai/static/muse-wonder-model-card |
| Chemistry refusal multilingual (Meta) | 100%unknown effort | All 1 recorded result & sources100% · raw 100 % Headline · unknown effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Model-card page 10: high-risk bio/chem prompt refusal rate, higher is better. Multilingual condition spans ten language buckets. Detailed denominator unpublished. Source checked 12 October 2026; evaluation date unpublished. Figure/table transcribed visually; do not infer unpublished configuration details. https://research.meta.ai/static/muse-wonder-model-card |
| Chemistry refusal adversarial (Meta) | 99.8%unknown effort | All 1 recorded result & sources99.8% · raw 99.8 % Headline · unknown effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Model-card page 10: high-risk bio/chem prompt refusal rate, higher is better. Multilingual condition spans ten language buckets. Detailed denominator unpublished. Source checked 12 October 2026; evaluation date unpublished. Figure/table transcribed visually; do not infer unpublished configuration details. https://research.meta.ai/static/muse-wonder-model-card |
| MASK honesty (Meta assessment) | 87.3%unknown effort | All 1 recorded result & sources87.3% · raw 87.3 % Headline · unknown effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Model-card page 10: honesty under pressure; higher is better. Split/harness unspecified, so not merged with public-split MASK records. Source checked 12 October 2026; evaluation date unpublished. Figure/table transcribed visually; do not infer unpublished configuration details. https://research.meta.ai/static/muse-wonder-model-card |
| Agentic misalignment (Meta assessment) | 0%unknown effort | All 1 recorded result & sources0% · raw 0 % Headline · unknown effort · Own vendor Source/record date: 2026-10-12 Harness: Meta launch evaluation; Model-card page 10: harmful action rate, lower is better; zero is explicitly published, not an imputed gap. Scenario distribution and sample size unpublished. Source checked 12 October 2026; evaluation date unpublished. Figure/table transcribed visually; do not infer unpublished configuration details. https://research.meta.ai/static/muse-wonder-model-card |
Independent evaluators
Evaluator harnesses are distinct from vendor measurements. Missing coverage is not a failed test.
| Benchmark / evaluator | Headline score | Evidence |
|---|---|---|
| Vals Index v2.2 · Vals AI | 66.787%max effort | All 1 recorded result & sources66.787% · raw 66.787 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. GDP-weighted aggregate with revised Finance v2.1, EMB v1.1, HLAB v1.1, Code Migration v1.1 and all-pass Tax. Old Index versions are not comparable. Source default includes provider-refusal fallback tasks for Opus/Sonnet; failure-controlled scores are separate. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":3558.574,"stderr":1.066,"cost_per_test":6.809627,"token_totals":{"input_tokens":11051421288,"output_tokens":96958718,"reasoning_tokens":50663639,"cache_read_tokens":10611361430,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/vals_index |
| Vals Index v2.2 · Cost per task · Vals AI | $6.809627/taskmax effort | All 1 recorded result & sources$6.809627/task · raw 6.809627 USD/task Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. GDP-weighted aggregate with revised Finance v2.1, EMB v1.1, HLAB v1.1, Code Migration v1.1 and all-pass Tax. Old Index versions are not comparable. Source default includes provider-refusal fallback tasks for Opus/Sonnet; failure-controlled scores are separate. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":3558.574,"stderr":1.066,"cost_per_test":6.809627,"token_totals":{"input_tokens":11051421288,"output_tokens":96958718,"reasoning_tokens":50663639,"cache_read_tokens":10611361430,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} Source score standard error describes the benchmark quality score, not uncertainty in cost or latency. https://www.vals.ai/benchmarks/vals_index |
| Vals Index v2.2 · Task latency · Vals AI | 3558.574 smax effort | All 1 recorded result & sources3558.574 s · raw 3558.574 s Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. GDP-weighted aggregate with revised Finance v2.1, EMB v1.1, HLAB v1.1, Code Migration v1.1 and all-pass Tax. Old Index versions are not comparable. Source default includes provider-refusal fallback tasks for Opus/Sonnet; failure-controlled scores are separate. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":3558.574,"stderr":1.066,"cost_per_test":6.809627,"token_totals":{"input_tokens":11051421288,"output_tokens":96958718,"reasoning_tokens":50663639,"cache_read_tokens":10611361430,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} Source score standard error describes the benchmark quality score, not uncertainty in cost or latency. https://www.vals.ai/benchmarks/vals_index |
| Vals Index v2.2 · Vibe Code Bench v1.1 · Vals AI | 85.996%max effort | All 1 recorded result & sources85.996% · raw 85.996 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: OpenHands. GDP-weighted aggregate with revised Finance v2.1, EMB v1.1, HLAB v1.1, Code Migration v1.1 and all-pass Tax. Old Index versions are not comparable. Source default includes provider-refusal fallback tasks for Opus/Sonnet; failure-controlled scores are separate. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":648.336,"stderr":1.933,"cost_per_test":2.293448,"token_totals":{"input_tokens":222902077,"output_tokens":2071146,"reasoning_tokens":144351,"cache_read_tokens":215357588,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":"OpenHands"} https://www.vals.ai/benchmarks/vals_index |
| Vals Index v2.2 · Finance Agent v2.1 · Vals AI | 67.575%max effort | All 1 recorded result & sources67.575% · raw 67.575 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. GDP-weighted aggregate with revised Finance v2.1, EMB v1.1, HLAB v1.1, Code Migration v1.1 and all-pass Tax. Old Index versions are not comparable. Source default includes provider-refusal fallback tasks for Opus/Sonnet; failure-controlled scores are separate. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":850.298,"stderr":1.98,"cost_per_test":2.680843,"token_totals":{"input_tokens":389317179,"output_tokens":18193553,"reasoning_tokens":11613004,"cache_read_tokens":188800282,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/vals_index |
| Vals Index v2.2 · EMB v1.1 · Vals AI | 74.998%max effort | All 1 recorded result & sources74.998% · raw 74.998 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. GDP-weighted aggregate with revised Finance v2.1, EMB v1.1, HLAB v1.1, Code Migration v1.1 and all-pass Tax. Old Index versions are not comparable. Source default includes provider-refusal fallback tasks for Opus/Sonnet; failure-controlled scores are separate. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1684.504,"stderr":2.141,"cost_per_test":4.58223,"token_totals":{"input_tokens":983252171,"output_tokens":8330149,"reasoning_tokens":5099887,"cache_read_tokens":955848482,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/vals_index |
| Vals Index v2.2 · Code Migration v1.1 (index subset 50 CLI + 10 COBOL) · Vals AI | 61.652%max effort | All 1 recorded result & sources61.652% · raw 61.652 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. GDP-weighted aggregate with revised Finance v2.1, EMB v1.1, HLAB v1.1, Code Migration v1.1 and all-pass Tax. Old Index versions are not comparable. Source default includes provider-refusal fallback tasks for Opus/Sonnet; failure-controlled scores are separate. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":15566.738,"stderr":4.371,"cost_per_test":23.236252,"token_totals":{"input_tokens":4997748393,"output_tokens":15267636,"reasoning_tokens":5439846,"cache_read_tokens":4951032316,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/vals_index |
| Vals Index v2.2 · Legal Research · Vals AI | 53.365%max effort | All 1 recorded result & sources53.365% · raw 53.365 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. GDP-weighted aggregate with revised Finance v2.1, EMB v1.1, HLAB v1.1, Code Migration v1.1 and all-pass Tax. Old Index versions are not comparable. Source default includes provider-refusal fallback tasks for Opus/Sonnet; failure-controlled scores are separate. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1654.378,"stderr":3.467,"cost_per_test":3.595401,"token_totals":{"input_tokens":760777228,"output_tokens":19689738,"reasoning_tokens":13012367,"cache_read_tokens":707647460,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/vals_index |
| Vals Index v2.2 · HLAB v1.1 · Vals AI | 23.333%max effort | All 1 recorded result & sources23.333% · raw 23.333 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. GDP-weighted aggregate with revised Finance v2.1, EMB v1.1, HLAB v1.1, Code Migration v1.1 and all-pass Tax. Old Index versions are not comparable. Source default includes provider-refusal fallback tasks for Opus/Sonnet; failure-controlled scores are separate. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2649.375,"stderr":3.547,"cost_per_test":5.413598,"token_totals":{"input_tokens":1349672470,"output_tokens":13499459,"reasoning_tokens":2307478,"cache_read_tokens":1308495584,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/vals_index |
| Vals Index v2.2 · Terminal-Bench 4.0 · Vals AI | 58.081%max effort | All 1 recorded result & sources58.081% · raw 58.081 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. GDP-weighted aggregate with revised Finance v2.1, EMB v1.1, HLAB v1.1, Code Migration v1.1 and all-pass Tax. Old Index versions are not comparable. Source default includes provider-refusal fallback tasks for Opus/Sonnet; failure-controlled scores are separate. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":4330.665,"stderr":3.312,"cost_per_test":10.528007,"token_totals":{"input_tokens":2090144775,"output_tokens":9938507,"reasoning_tokens":6960300,"cache_read_tokens":2069605468,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/vals_index |
| Vals Index v2.2 · Tax Agent · Vals AI | 42.997%max effort | All 1 recorded result & sources42.997% · raw 42.997 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. GDP-weighted aggregate with revised Finance v2.1, EMB v1.1, HLAB v1.1, Code Migration v1.1 and all-pass Tax. Old Index versions are not comparable. Source default includes provider-refusal fallback tasks for Opus/Sonnet; failure-controlled scores are separate. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1084.296,"stderr":3.572,"cost_per_test":2.147235,"token_totals":{"input_tokens":257606995,"output_tokens":9968530,"reasoning_tokens":6086406,"cache_read_tokens":214574250,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/vals_index |
| Finance Agent v2.1 · Vals AI | 67.575%max effort | All 1 recorded result & sources67.575% · raw 67.575 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. FAB v2 harness on expert-reviewed FABv2.1 questions/rubrics, revised judge jury and hedged-answer prompt. Partial-credit accuracy differs from all-pass. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":850.298,"stderr":1.98,"cost_per_test":2.680843,"token_totals":{"input_tokens":389317179,"output_tokens":18193553,"reasoning_tokens":11613004,"cache_read_tokens":188800282,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/fabv2-1 |
| Finance Agent v2.1 · Cost per task · Vals AI | $2.680843/taskmax effort | All 1 recorded result & sources$2.680843/task · raw 2.680843 USD/task Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. FAB v2 harness on expert-reviewed FABv2.1 questions/rubrics, revised judge jury and hedged-answer prompt. Partial-credit accuracy differs from all-pass. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":850.298,"stderr":1.98,"cost_per_test":2.680843,"token_totals":{"input_tokens":389317179,"output_tokens":18193553,"reasoning_tokens":11613004,"cache_read_tokens":188800282,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} Source score standard error describes the benchmark quality score, not uncertainty in cost or latency. https://www.vals.ai/benchmarks/fabv2-1 |
| Finance Agent v2.1 · Task latency · Vals AI | 850.298 smax effort | All 1 recorded result & sources850.298 s · raw 850.298 s Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. FAB v2 harness on expert-reviewed FABv2.1 questions/rubrics, revised judge jury and hedged-answer prompt. Partial-credit accuracy differs from all-pass. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":850.298,"stderr":1.98,"cost_per_test":2.680843,"token_totals":{"input_tokens":389317179,"output_tokens":18193553,"reasoning_tokens":11613004,"cache_read_tokens":188800282,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} Source score standard error describes the benchmark quality score, not uncertainty in cost or latency. https://www.vals.ai/benchmarks/fabv2-1 |
| Finance Agent v2.1 · All-Pass Accuracy · Vals AI | 54.880%max effort | All 1 recorded result & sources54.880% · raw 54.88 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. FAB v2 harness on expert-reviewed FABv2.1 questions/rubrics, revised judge jury and hedged-answer prompt. Partial-credit accuracy differs from all-pass. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":850.298,"stderr":2.2,"cost_per_test":2.680843,"token_totals":{"input_tokens":389317179,"output_tokens":18193553,"reasoning_tokens":11613004,"cache_read_tokens":188800282,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/fabv2-1 |
| Finance Agent v2.1 · General Qualitative Analysis · Vals AI | 76.051%max effort | All 1 recorded result & sources76.051% · raw 76.051 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. FAB v2 harness on expert-reviewed FABv2.1 questions/rubrics, revised judge jury and hedged-answer prompt. Partial-credit accuracy differs from all-pass. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1157.917,"stderr":5.287,"cost_per_test":3.202414,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/fabv2-1 |
| Finance Agent v2.1 · General Quantitative Analysis · Vals AI | 84.886%max effort | All 1 recorded result & sources84.886% · raw 84.886 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. FAB v2 harness on expert-reviewed FABv2.1 questions/rubrics, revised judge jury and hedged-answer prompt. Partial-credit accuracy differs from all-pass. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":683.77,"stderr":4.335,"cost_per_test":2.504633,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/fabv2-1 |
| Finance Agent v2.1 · Market Analysis · Vals AI | 67.361%max effort | All 1 recorded result & sources67.361% · raw 67.361 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. FAB v2 harness on expert-reviewed FABv2.1 questions/rubrics, revised judge jury and hedged-answer prompt. Partial-credit accuracy differs from all-pass. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":520.944,"stderr":6.694,"cost_per_test":1.430893,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/fabv2-1 |
| Finance Agent v2.1 · Comparables · Vals AI | 55.011%max effort | All 1 recorded result & sources55.011% · raw 55.011 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. FAB v2 harness on expert-reviewed FABv2.1 questions/rubrics, revised judge jury and hedged-answer prompt. Partial-credit accuracy differs from all-pass. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1094.974,"stderr":6.639,"cost_per_test":3.896655,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/fabv2-1 |
| Finance Agent v2.1 · Precedents · Vals AI | 44.181%max effort | All 1 recorded result & sources44.181% · raw 44.181 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. FAB v2 harness on expert-reviewed FABv2.1 questions/rubrics, revised judge jury and hedged-answer prompt. Partial-credit accuracy differs from all-pass. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1253.085,"stderr":7.015,"cost_per_test":4.151451,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/fabv2-1 |
| Finance Agent v2.1 · Adjustments · Vals AI | 74.737%max effort | All 1 recorded result & sources74.737% · raw 74.737 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. FAB v2 harness on expert-reviewed FABv2.1 questions/rubrics, revised judge jury and hedged-answer prompt. Partial-credit accuracy differs from all-pass. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":888.018,"stderr":6.048,"cost_per_test":2.686259,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/fabv2-1 |
| Finance Agent v2.1 · Earnings Analysis · Vals AI | 84.794%max effort | All 1 recorded result & sources84.794% · raw 84.794 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. FAB v2 harness on expert-reviewed FABv2.1 questions/rubrics, revised judge jury and hedged-answer prompt. Partial-credit accuracy differs from all-pass. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":436.722,"stderr":4.939,"cost_per_test":1.018528,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/fabv2-1 |
| Finance Agent v2.1 · Disclosure Analysis · Vals AI | 80.595%max effort | All 1 recorded result & sources80.595% · raw 80.595 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. FAB v2 harness on expert-reviewed FABv2.1 questions/rubrics, revised judge jury and hedged-answer prompt. Partial-credit accuracy differs from all-pass. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":962.739,"stderr":5.226,"cost_per_test":3.162266,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/fabv2-1 |
| Finance Agent v2.1 · Financial Modeling · Vals AI | 40.557%max effort | All 1 recorded result & sources40.557% · raw 40.557 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. FAB v2 harness on expert-reviewed FABv2.1 questions/rubrics, revised judge jury and hedged-answer prompt. Partial-credit accuracy differs from all-pass. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":735.548,"stderr":6.661,"cost_per_test":2.261304,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/fabv2-1 |
| Excel Modeling Benchmark v1.1 · Vals AI | 74.998%max effort | All 1 recorded result & sources74.998% · raw 74.998 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Seven equally weighted category scores combining Template and Scratch. GPT-6 Luna Scratch judge and Template sheet-name scoring fixes; not comparable with v1.0. Partial credit is not client-ready quality. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1684.504,"stderr":2.141,"cost_per_test":4.58223,"token_totals":{"input_tokens":983252171,"output_tokens":8330149,"reasoning_tokens":5099887,"cache_read_tokens":955848482,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/emb-v1-1 |
| Excel Modeling Benchmark v1.1 · Cost per task · Vals AI | $4.58223/taskmax effort | All 1 recorded result & sources$4.58223/task · raw 4.58223 USD/task Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Seven equally weighted category scores combining Template and Scratch. GPT-6 Luna Scratch judge and Template sheet-name scoring fixes; not comparable with v1.0. Partial credit is not client-ready quality. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1684.504,"stderr":2.141,"cost_per_test":4.58223,"token_totals":{"input_tokens":983252171,"output_tokens":8330149,"reasoning_tokens":5099887,"cache_read_tokens":955848482,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} Source score standard error describes the benchmark quality score, not uncertainty in cost or latency. https://www.vals.ai/benchmarks/emb-v1-1 |
| Excel Modeling Benchmark v1.1 · Task latency · Vals AI | 1684.504 smax effort | All 1 recorded result & sources1684.504 s · raw 1684.504 s Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Seven equally weighted category scores combining Template and Scratch. GPT-6 Luna Scratch judge and Template sheet-name scoring fixes; not comparable with v1.0. Partial credit is not client-ready quality. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1684.504,"stderr":2.141,"cost_per_test":4.58223,"token_totals":{"input_tokens":983252171,"output_tokens":8330149,"reasoning_tokens":5099887,"cache_read_tokens":955848482,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} Source score standard error describes the benchmark quality score, not uncertainty in cost or latency. https://www.vals.ai/benchmarks/emb-v1-1 |
| Excel Modeling Benchmark v1.1 · Template · Vals AI | 79.861%max effort | All 1 recorded result & sources79.861% · raw 79.861 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Seven equally weighted category scores combining Template and Scratch. GPT-6 Luna Scratch judge and Template sheet-name scoring fixes; not comparable with v1.0. Partial credit is not client-ready quality. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1834.408,"stderr":2.635,"cost_per_test":5.314337,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/emb-v1-1 |
| Excel Modeling Benchmark v1.1 · Scratch · Vals AI | 70.032%max effort | All 1 recorded result & sources70.032% · raw 70.032 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Seven equally weighted category scores combining Template and Scratch. GPT-6 Luna Scratch judge and Template sheet-name scoring fixes; not comparable with v1.0. Partial credit is not client-ready quality. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1534.599,"stderr":2.614,"cost_per_test":3.850123,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/emb-v1-1 |
| Excel Modeling Benchmark v1.1 · LBO · Vals AI | 63.496%max effort | All 1 recorded result & sources63.496% · raw 63.496 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Seven equally weighted category scores combining Template and Scratch. GPT-6 Luna Scratch judge and Template sheet-name scoring fixes; not comparable with v1.0. Partial credit is not client-ready quality. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2261.66,"stderr":4.727,"cost_per_test":7.053456,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/emb-v1-1 |
| Excel Modeling Benchmark v1.1 · DCF · Vals AI | 65.743%max effort | All 1 recorded result & sources65.743% · raw 65.743 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Seven equally weighted category scores combining Template and Scratch. GPT-6 Luna Scratch judge and Template sheet-name scoring fixes; not comparable with v1.0. Partial credit is not client-ready quality. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1613.553,"stderr":7.305,"cost_per_test":3.903815,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/emb-v1-1 |
| Excel Modeling Benchmark v1.1 · M&A · Vals AI | 83.423%max effort | All 1 recorded result & sources83.423% · raw 83.423 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Seven equally weighted category scores combining Template and Scratch. GPT-6 Luna Scratch judge and Template sheet-name scoring fixes; not comparable with v1.0. Partial credit is not client-ready quality. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1362.463,"stderr":3.078,"cost_per_test":3.075349,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/emb-v1-1 |
| Excel Modeling Benchmark v1.1 · Operating · Vals AI | 74.631%max effort | All 1 recorded result & sources74.631% · raw 74.631 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Seven equally weighted category scores combining Template and Scratch. GPT-6 Luna Scratch judge and Template sheet-name scoring fixes; not comparable with v1.0. Partial credit is not client-ready quality. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1570.029,"stderr":5.192,"cost_per_test":3.836765,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/emb-v1-1 |
| Excel Modeling Benchmark v1.1 · Comps · Vals AI | 80.197%max effort | All 1 recorded result & sources80.197% · raw 80.197 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Seven equally weighted category scores combining Template and Scratch. GPT-6 Luna Scratch judge and Template sheet-name scoring fixes; not comparable with v1.0. Partial credit is not client-ready quality. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1974.807,"stderr":3.914,"cost_per_test":6.137566,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/emb-v1-1 |
| Excel Modeling Benchmark v1.1 · Dataroom · Vals AI | 86.553%max effort | All 1 recorded result & sources86.553% · raw 86.553 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Seven equally weighted category scores combining Template and Scratch. GPT-6 Luna Scratch judge and Template sheet-name scoring fixes; not comparable with v1.0. Partial credit is not client-ready quality. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1361.668,"stderr":3.59,"cost_per_test":3.621869,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/emb-v1-1 |
| Excel Modeling Benchmark v1.1 · Misc · Vals AI | 70.941%max effort | All 1 recorded result & sources70.941% · raw 70.941 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Seven equally weighted category scores combining Template and Scratch. GPT-6 Luna Scratch judge and Template sheet-name scoring fixes; not comparable with v1.0. Partial credit is not client-ready quality. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1515.655,"stderr":3.367,"cost_per_test":3.877366,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/emb-v1-1 |
| Excel Modeling Benchmark v1.1 · Template · LBO · Vals AI | 70.179%max effort | All 1 recorded result & sources70.179% · raw 70.179 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Seven equally weighted category scores combining Template and Scratch. GPT-6 Luna Scratch judge and Template sheet-name scoring fixes; not comparable with v1.0. Partial credit is not client-ready quality. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1684.504,"stderr":2.141,"cost_per_test":4.58223,"token_totals":{"input_tokens":983252171,"output_tokens":8330149,"reasoning_tokens":5099887,"cache_read_tokens":955848482,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/emb-v1-1 |
| Excel Modeling Benchmark v1.1 · Scratch · LBO · Vals AI | 56.814%max effort | All 1 recorded result & sources56.814% · raw 56.814 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Seven equally weighted category scores combining Template and Scratch. GPT-6 Luna Scratch judge and Template sheet-name scoring fixes; not comparable with v1.0. Partial credit is not client-ready quality. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1684.504,"stderr":2.141,"cost_per_test":4.58223,"token_totals":{"input_tokens":983252171,"output_tokens":8330149,"reasoning_tokens":5099887,"cache_read_tokens":955848482,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/emb-v1-1 |
| Excel Modeling Benchmark v1.1 · Template · DCF · Vals AI | 71.220%max effort | All 1 recorded result & sources71.220% · raw 71.22 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Seven equally weighted category scores combining Template and Scratch. GPT-6 Luna Scratch judge and Template sheet-name scoring fixes; not comparable with v1.0. Partial credit is not client-ready quality. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1684.504,"stderr":2.141,"cost_per_test":4.58223,"token_totals":{"input_tokens":983252171,"output_tokens":8330149,"reasoning_tokens":5099887,"cache_read_tokens":955848482,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/emb-v1-1 |
| Excel Modeling Benchmark v1.1 · Scratch · DCF · Vals AI | 60.265%max effort | All 1 recorded result & sources60.265% · raw 60.265 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Seven equally weighted category scores combining Template and Scratch. GPT-6 Luna Scratch judge and Template sheet-name scoring fixes; not comparable with v1.0. Partial credit is not client-ready quality. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1684.504,"stderr":2.141,"cost_per_test":4.58223,"token_totals":{"input_tokens":983252171,"output_tokens":8330149,"reasoning_tokens":5099887,"cache_read_tokens":955848482,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/emb-v1-1 |
| Excel Modeling Benchmark v1.1 · Template · MA · Vals AI | 87.451%max effort | All 1 recorded result & sources87.451% · raw 87.451 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Seven equally weighted category scores combining Template and Scratch. GPT-6 Luna Scratch judge and Template sheet-name scoring fixes; not comparable with v1.0. Partial credit is not client-ready quality. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1684.504,"stderr":2.141,"cost_per_test":4.58223,"token_totals":{"input_tokens":983252171,"output_tokens":8330149,"reasoning_tokens":5099887,"cache_read_tokens":955848482,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/emb-v1-1 |
| Excel Modeling Benchmark v1.1 · Scratch · MA · Vals AI | 79.396%max effort | All 1 recorded result & sources79.396% · raw 79.396 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Seven equally weighted category scores combining Template and Scratch. GPT-6 Luna Scratch judge and Template sheet-name scoring fixes; not comparable with v1.0. Partial credit is not client-ready quality. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1684.504,"stderr":2.141,"cost_per_test":4.58223,"token_totals":{"input_tokens":983252171,"output_tokens":8330149,"reasoning_tokens":5099887,"cache_read_tokens":955848482,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/emb-v1-1 |
| Excel Modeling Benchmark v1.1 · Template · OPERATING · Vals AI | 81.012%max effort | All 1 recorded result & sources81.012% · raw 81.012 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Seven equally weighted category scores combining Template and Scratch. GPT-6 Luna Scratch judge and Template sheet-name scoring fixes; not comparable with v1.0. Partial credit is not client-ready quality. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1684.504,"stderr":2.141,"cost_per_test":4.58223,"token_totals":{"input_tokens":983252171,"output_tokens":8330149,"reasoning_tokens":5099887,"cache_read_tokens":955848482,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/emb-v1-1 |
| Excel Modeling Benchmark v1.1 · Scratch · OPERATING · Vals AI | 68.250%max effort | All 1 recorded result & sources68.250% · raw 68.25 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Seven equally weighted category scores combining Template and Scratch. GPT-6 Luna Scratch judge and Template sheet-name scoring fixes; not comparable with v1.0. Partial credit is not client-ready quality. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1684.504,"stderr":2.141,"cost_per_test":4.58223,"token_totals":{"input_tokens":983252171,"output_tokens":8330149,"reasoning_tokens":5099887,"cache_read_tokens":955848482,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/emb-v1-1 |
| Excel Modeling Benchmark v1.1 · Template · COMPS · Vals AI | 87.495%max effort | All 1 recorded result & sources87.495% · raw 87.495 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Seven equally weighted category scores combining Template and Scratch. GPT-6 Luna Scratch judge and Template sheet-name scoring fixes; not comparable with v1.0. Partial credit is not client-ready quality. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1684.504,"stderr":2.141,"cost_per_test":4.58223,"token_totals":{"input_tokens":983252171,"output_tokens":8330149,"reasoning_tokens":5099887,"cache_read_tokens":955848482,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/emb-v1-1 |
| Excel Modeling Benchmark v1.1 · Scratch · COMPS · Vals AI | 72.900%max effort | All 1 recorded result & sources72.900% · raw 72.9 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Seven equally weighted category scores combining Template and Scratch. GPT-6 Luna Scratch judge and Template sheet-name scoring fixes; not comparable with v1.0. Partial credit is not client-ready quality. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1684.504,"stderr":2.141,"cost_per_test":4.58223,"token_totals":{"input_tokens":983252171,"output_tokens":8330149,"reasoning_tokens":5099887,"cache_read_tokens":955848482,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/emb-v1-1 |
| Excel Modeling Benchmark v1.1 · Template · DATAROOM · Vals AI | 89.005%max effort | All 1 recorded result & sources89.005% · raw 89.005 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Seven equally weighted category scores combining Template and Scratch. GPT-6 Luna Scratch judge and Template sheet-name scoring fixes; not comparable with v1.0. Partial credit is not client-ready quality. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1684.504,"stderr":2.141,"cost_per_test":4.58223,"token_totals":{"input_tokens":983252171,"output_tokens":8330149,"reasoning_tokens":5099887,"cache_read_tokens":955848482,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/emb-v1-1 |
| Excel Modeling Benchmark v1.1 · Scratch · DATAROOM · Vals AI | 84.100%max effort | All 1 recorded result & sources84.100% · raw 84.1 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Seven equally weighted category scores combining Template and Scratch. GPT-6 Luna Scratch judge and Template sheet-name scoring fixes; not comparable with v1.0. Partial credit is not client-ready quality. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1684.504,"stderr":2.141,"cost_per_test":4.58223,"token_totals":{"input_tokens":983252171,"output_tokens":8330149,"reasoning_tokens":5099887,"cache_read_tokens":955848482,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/emb-v1-1 |
| Excel Modeling Benchmark v1.1 · Template · MISC · Vals AI | 71.617%max effort | All 1 recorded result & sources71.617% · raw 71.617 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Seven equally weighted category scores combining Template and Scratch. GPT-6 Luna Scratch judge and Template sheet-name scoring fixes; not comparable with v1.0. Partial credit is not client-ready quality. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1684.504,"stderr":2.141,"cost_per_test":4.58223,"token_totals":{"input_tokens":983252171,"output_tokens":8330149,"reasoning_tokens":5099887,"cache_read_tokens":955848482,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/emb-v1-1 |
| Excel Modeling Benchmark v1.1 · Scratch · MISC · Vals AI | 70.265%max effort | All 1 recorded result & sources70.265% · raw 70.265 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Seven equally weighted category scores combining Template and Scratch. GPT-6 Luna Scratch judge and Template sheet-name scoring fixes; not comparable with v1.0. Partial credit is not client-ready quality. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1684.504,"stderr":2.141,"cost_per_test":4.58223,"token_totals":{"input_tokens":983252171,"output_tokens":8330149,"reasoning_tokens":5099887,"cache_read_tokens":955848482,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/emb-v1-1 |
| Excel Modeling Benchmark v1.1 · Scratch rubric · Numerical · Vals AI | 61.835%max effort | All 1 recorded result & sources61.835% · raw 61.835 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Seven equally weighted category scores combining Template and Scratch. GPT-6 Luna Scratch judge and Template sheet-name scoring fixes; not comparable with v1.0. Partial credit is not client-ready quality. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1684.504,"stderr":2.141,"cost_per_test":4.58223,"token_totals":{"input_tokens":983252171,"output_tokens":8330149,"reasoning_tokens":5099887,"cache_read_tokens":955848482,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/emb-v1-1 |
| Excel Modeling Benchmark v1.1 · Scratch rubric · Formula · Vals AI | 88.417%max effort | All 1 recorded result & sources88.417% · raw 88.417 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Seven equally weighted category scores combining Template and Scratch. GPT-6 Luna Scratch judge and Template sheet-name scoring fixes; not comparable with v1.0. Partial credit is not client-ready quality. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1684.504,"stderr":2.141,"cost_per_test":4.58223,"token_totals":{"input_tokens":983252171,"output_tokens":8330149,"reasoning_tokens":5099887,"cache_read_tokens":955848482,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/emb-v1-1 |
| Excel Modeling Benchmark v1.1 · Scratch rubric · Presentation · Vals AI | 79.753%max effort | All 1 recorded result & sources79.753% · raw 79.753 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Seven equally weighted category scores combining Template and Scratch. GPT-6 Luna Scratch judge and Template sheet-name scoring fixes; not comparable with v1.0. Partial credit is not client-ready quality. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1684.504,"stderr":2.141,"cost_per_test":4.58223,"token_totals":{"input_tokens":983252171,"output_tokens":8330149,"reasoning_tokens":5099887,"cache_read_tokens":955848482,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/emb-v1-1 |
| Code Migration v1.1 (Pi, full) · Vals AI | 62.790%max effort | All 1 recorded result & sources62.790% · raw 62.79 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: Pi. Pi agent harness, revised hidden tests, full 120 CLI + 10 COBOL tasks; 75% CLI and 25% COBOL weighting. Distinct from Index selected 50 CLI +10 COBOL subset and old mini-SWE-agent v1. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":15501.972,"stderr":3.175,"cost_per_test":23.584618,"token_totals":{"input_tokens":11830929459,"output_tokens":35940066,"reasoning_tokens":12452527,"cache_read_tokens":11728671116,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/code-migration-v1-1 |
| Code Migration v1.1 (Pi, full) · Cost per task · Vals AI | $23.584618/taskmax effort | All 1 recorded result & sources$23.584618/task · raw 23.584618 USD/task Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: Pi. Pi agent harness, revised hidden tests, full 120 CLI + 10 COBOL tasks; 75% CLI and 25% COBOL weighting. Distinct from Index selected 50 CLI +10 COBOL subset and old mini-SWE-agent v1. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":15501.972,"stderr":3.175,"cost_per_test":23.584618,"token_totals":{"input_tokens":11830929459,"output_tokens":35940066,"reasoning_tokens":12452527,"cache_read_tokens":11728671116,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} Source score standard error describes the benchmark quality score, not uncertainty in cost or latency. https://www.vals.ai/benchmarks/code-migration-v1-1 |
| Code Migration v1.1 (Pi, full) · Task latency · Vals AI | 15501.972 smax effort | All 1 recorded result & sources15501.972 s · raw 15501.972 s Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: Pi. Pi agent harness, revised hidden tests, full 120 CLI + 10 COBOL tasks; 75% CLI and 25% COBOL weighting. Distinct from Index selected 50 CLI +10 COBOL subset and old mini-SWE-agent v1. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":15501.972,"stderr":3.175,"cost_per_test":23.584618,"token_totals":{"input_tokens":11830929459,"output_tokens":35940066,"reasoning_tokens":12452527,"cache_read_tokens":11728671116,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} Source score standard error describes the benchmark quality score, not uncertainty in cost or latency. https://www.vals.ai/benchmarks/code-migration-v1-1 |
| Code Migration v1.1 (Pi, full) · CLI · Vals AI | 52.721%max effort | All 1 recorded result & sources52.721% · raw 52.721 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: Pi. Pi agent harness, revised hidden tests, full 120 CLI + 10 COBOL tasks; 75% CLI and 25% COBOL weighting. Distinct from Index selected 50 CLI +10 COBOL subset and old mini-SWE-agent v1. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":17699.003,"stderr":3.532,"cost_per_test":28.113158,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/code-migration-v1-1 |
| Code Migration v1.1 (Pi, full) · COBOL · Vals AI | 93.000%max effort | All 1 recorded result & sources93.000% · raw 93 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: Pi. Pi agent harness, revised hidden tests, full 120 CLI + 10 COBOL tasks; 75% CLI and 25% COBOL weighting. Distinct from Index selected 50 CLI +10 COBOL subset and old mini-SWE-agent v1. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":8910.877,"stderr":7.0,"cost_per_test":9.999,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/code-migration-v1-1 |
| Code Migration v1.1 (Pi, full) · Code Quality · Vals AI | 3.238 points/5max effort | All 1 recorded result & sources3.238 points/5 · raw 3.238 points/5 Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: Pi. Pi agent harness, revised hidden tests, full 120 CLI + 10 COBOL tasks; 75% CLI and 25% COBOL weighting. Distinct from Index selected 50 CLI +10 COBOL subset and old mini-SWE-agent v1. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":15501.972,"stderr":0.043,"cost_per_test":23.584618,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/code-migration-v1-1 |
| HLAB v1.1 (Vals) · Task Pass Rate · Vals AI | 23.333%max effort | All 1 recorded result & sources23.333% · raw 23.333 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2649.375,"stderr":3.547,"cost_per_test":5.413598,"token_totals":{"input_tokens":1349672470,"output_tokens":13499459,"reasoning_tokens":2307478,"cache_read_tokens":1308495584,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Cost per task · Vals AI | $5.413598/taskmax effort | All 1 recorded result & sources$5.413598/task · raw 5.413598 USD/task Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2649.375,"stderr":3.547,"cost_per_test":5.413598,"token_totals":{"input_tokens":1349672470,"output_tokens":13499459,"reasoning_tokens":2307478,"cache_read_tokens":1308495584,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} Source score standard error describes the benchmark quality score, not uncertainty in cost or latency. https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Task latency · Vals AI | 2649.375 smax effort | All 1 recorded result & sources2649.375 s · raw 2649.375 s Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2649.375,"stderr":3.547,"cost_per_test":5.413598,"token_totals":{"input_tokens":1349672470,"output_tokens":13499459,"reasoning_tokens":2307478,"cache_read_tokens":1308495584,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} Source score standard error describes the benchmark quality score, not uncertainty in cost or latency. https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Task Pass Rate · Antitrust Competition · Vals AI | 40.000%max effort | All 1 recorded result & sources40.000% · raw 40 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2044.898,"stderr":18.708,"cost_per_test":6.005504,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Task Pass Rate · Arbitration International Dispute Resolution · Vals AI | 10.000%max effort | All 1 recorded result & sources10.000% · raw 10 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2620.15,"stderr":10.0,"cost_per_test":5.114031,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Task Pass Rate · Banking Finance · Vals AI | 30.000%max effort | All 1 recorded result & sources30.000% · raw 30 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":3124.788,"stderr":20.0,"cost_per_test":5.41453,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Task Pass Rate · Bankruptcy Restructuring · Vals AI | 30.000%max effort | All 1 recorded result & sources30.000% · raw 30 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2901.7,"stderr":20.0,"cost_per_test":6.272163,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Task Pass Rate · Capital Markets · Vals AI | 20.000%max effort | All 1 recorded result & sources20.000% · raw 20 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2353.468,"stderr":20.0,"cost_per_test":4.235198,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Task Pass Rate · Corporate Governance · Vals AI | 20.000%max effort | All 1 recorded result & sources20.000% · raw 20 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2735.374,"stderr":20.0,"cost_per_test":5.218937,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Task Pass Rate · Corporate Ma · Vals AI | 30.000%max effort | All 1 recorded result & sources30.000% · raw 30 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2894.524,"stderr":20.0,"cost_per_test":5.165325,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Task Pass Rate · Data Privacy Cybersecurity · Vals AI | 20.000%max effort | All 1 recorded result & sources20.000% · raw 20 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2553.994,"stderr":20.0,"cost_per_test":5.724329,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Task Pass Rate · Emerging Companies Venture Capital · Vals AI | 0.000%max effort | All 1 recorded result & sources0.000% · raw 0 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2502.37,"stderr":0.0,"cost_per_test":6.394651,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Task Pass Rate · Employment Labor · Vals AI | 0.000%max effort | All 1 recorded result & sources0.000% · raw 0 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2510.782,"stderr":0.0,"cost_per_test":4.65707,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Task Pass Rate · Energy Natural Resources · Vals AI | 60.000%max effort | All 1 recorded result & sources60.000% · raw 60 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":3120.71,"stderr":24.495,"cost_per_test":6.264605,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Task Pass Rate · Environmental Esg · Vals AI | 20.000%max effort | All 1 recorded result & sources20.000% · raw 20 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2908.808,"stderr":20.0,"cost_per_test":4.77579,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Task Pass Rate · Funds Asset Management · Vals AI | 40.000%max effort | All 1 recorded result & sources40.000% · raw 40 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":3311.582,"stderr":24.495,"cost_per_test":6.091472,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Task Pass Rate · Healthcare Life Sciences · Vals AI | 40.000%max effort | All 1 recorded result & sources40.000% · raw 40 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2539.434,"stderr":18.708,"cost_per_test":4.848495,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Task Pass Rate · Immigration · Vals AI | 20.000%max effort | All 1 recorded result & sources20.000% · raw 20 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2604.304,"stderr":20.0,"cost_per_test":4.272067,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Task Pass Rate · Insurance · Vals AI | 30.000%max effort | All 1 recorded result & sources30.000% · raw 30 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2466.874,"stderr":20.0,"cost_per_test":4.928353,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Task Pass Rate · Intellectual Property · Vals AI | 30.000%max effort | All 1 recorded result & sources30.000% · raw 30 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2474.152,"stderr":20.0,"cost_per_test":5.894615,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Task Pass Rate · International Trade Sanctions · Vals AI | 20.000%max effort | All 1 recorded result & sources20.000% · raw 20 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2063.232,"stderr":12.247,"cost_per_test":4.26355,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Task Pass Rate · Litigation Dispute Resolution · Vals AI | 0.000%max effort | All 1 recorded result & sources0.000% · raw 0 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2486.446,"stderr":0.0,"cost_per_test":5.721406,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Task Pass Rate · Real Estate · Vals AI | 40.000%max effort | All 1 recorded result & sources40.000% · raw 40 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2871.286,"stderr":24.495,"cost_per_test":6.578616,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Task Pass Rate · Structured Finance Securitization · Vals AI | 20.000%max effort | All 1 recorded result & sources20.000% · raw 20 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2426.824,"stderr":20.0,"cost_per_test":6.8176,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Task Pass Rate · Tax · Vals AI | 0.000%max effort | All 1 recorded result & sources0.000% · raw 0 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2475.476,"stderr":0.0,"cost_per_test":5.723511,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Task Pass Rate · Trusts Estates Private Client · Vals AI | 40.000%max effort | All 1 recorded result & sources40.000% · raw 40 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2998.392,"stderr":18.708,"cost_per_test":4.090553,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Task Pass Rate · White Collar Defense Investigations · Vals AI | 0.000%max effort | All 1 recorded result & sources0.000% · raw 0 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2595.43,"stderr":0.0,"cost_per_test":5.453971,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Criteria Pass Rate · Vals AI | 96.126%max effort | All 1 recorded result & sources96.126% · raw 96.126 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2649.375,"stderr":0.232,"cost_per_test":5.413598,"token_totals":{"input_tokens":1349672470,"output_tokens":13499459,"reasoning_tokens":2307478,"cache_read_tokens":1308495584,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Criteria Pass Rate · Antitrust Competition · Vals AI | 96.920%max effort | All 1 recorded result & sources96.920% · raw 96.92 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2044.898,"stderr":1.042,"cost_per_test":6.005504,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Criteria Pass Rate · Arbitration International Dispute Resolution · Vals AI | 96.595%max effort | All 1 recorded result & sources96.595% · raw 96.595 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2620.15,"stderr":1.088,"cost_per_test":5.114031,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Criteria Pass Rate · Banking Finance · Vals AI | 97.575%max effort | All 1 recorded result & sources97.575% · raw 97.575 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":3124.788,"stderr":0.941,"cost_per_test":5.41453,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Criteria Pass Rate · Bankruptcy Restructuring · Vals AI | 94.983%max effort | All 1 recorded result & sources94.983% · raw 94.983 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2901.7,"stderr":1.286,"cost_per_test":6.272163,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Criteria Pass Rate · Capital Markets · Vals AI | 96.078%max effort | All 1 recorded result & sources96.078% · raw 96.078 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2353.468,"stderr":1.218,"cost_per_test":4.235198,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Criteria Pass Rate · Corporate Governance · Vals AI | 94.692%max effort | All 1 recorded result & sources94.692% · raw 94.692 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2735.374,"stderr":1.314,"cost_per_test":5.218937,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Criteria Pass Rate · Corporate Ma · Vals AI | 97.588%max effort | All 1 recorded result & sources97.588% · raw 97.588 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2894.524,"stderr":0.871,"cost_per_test":5.165325,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Criteria Pass Rate · Data Privacy Cybersecurity · Vals AI | 98.057%max effort | All 1 recorded result & sources98.057% · raw 98.057 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2553.994,"stderr":0.822,"cost_per_test":5.724329,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Criteria Pass Rate · Emerging Companies Venture Capital · Vals AI | 97.099%max effort | All 1 recorded result & sources97.099% · raw 97.099 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2502.37,"stderr":0.982,"cost_per_test":6.394651,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Criteria Pass Rate · Employment Labor · Vals AI | 93.446%max effort | All 1 recorded result & sources93.446% · raw 93.446 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2510.782,"stderr":1.517,"cost_per_test":4.65707,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Criteria Pass Rate · Energy Natural Resources · Vals AI | 98.185%max effort | All 1 recorded result & sources98.185% · raw 98.185 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":3120.71,"stderr":0.768,"cost_per_test":6.264605,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Criteria Pass Rate · Environmental Esg · Vals AI | 93.190%max effort | All 1 recorded result & sources93.190% · raw 93.19 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2908.808,"stderr":1.511,"cost_per_test":4.77579,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Criteria Pass Rate · Funds Asset Management · Vals AI | 93.878%max effort | All 1 recorded result & sources93.878% · raw 93.878 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":3311.582,"stderr":1.296,"cost_per_test":6.091472,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Criteria Pass Rate · Healthcare Life Sciences · Vals AI | 96.644%max effort | All 1 recorded result & sources96.644% · raw 96.644 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2539.434,"stderr":1.045,"cost_per_test":4.848495,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Criteria Pass Rate · Immigration · Vals AI | 95.455%max effort | All 1 recorded result & sources95.455% · raw 95.455 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2604.304,"stderr":1.258,"cost_per_test":4.272067,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Criteria Pass Rate · Insurance · Vals AI | 95.956%max effort | All 1 recorded result & sources95.956% · raw 95.956 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2466.874,"stderr":1.197,"cost_per_test":4.928353,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Criteria Pass Rate · Intellectual Property · Vals AI | 97.865%max effort | All 1 recorded result & sources97.865% · raw 97.865 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2474.152,"stderr":0.864,"cost_per_test":5.894615,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Criteria Pass Rate · International Trade Sanctions · Vals AI | 97.211%max effort | All 1 recorded result & sources97.211% · raw 97.211 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2063.232,"stderr":1.041,"cost_per_test":4.26355,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Criteria Pass Rate · Litigation Dispute Resolution · Vals AI | 95.113%max effort | All 1 recorded result & sources95.113% · raw 95.113 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2486.446,"stderr":1.324,"cost_per_test":5.721406,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Criteria Pass Rate · Real Estate · Vals AI | 98.397%max effort | All 1 recorded result & sources98.397% · raw 98.397 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2871.286,"stderr":0.679,"cost_per_test":6.578616,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Criteria Pass Rate · Structured Finance Securitization · Vals AI | 96.129%max effort | All 1 recorded result & sources96.129% · raw 96.129 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2426.824,"stderr":1.097,"cost_per_test":6.8176,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Criteria Pass Rate · Tax · Vals AI | 92.642%max effort | All 1 recorded result & sources92.642% · raw 92.642 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2475.476,"stderr":1.512,"cost_per_test":5.723511,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Criteria Pass Rate · Trusts Estates Private Client · Vals AI | 96.565%max effort | All 1 recorded result & sources96.565% · raw 96.565 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2998.392,"stderr":1.127,"cost_per_test":4.090553,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| HLAB v1.1 (Vals) · Criteria Pass Rate · White Collar Defense Investigations · Vals AI | 96.633%max effort | All 1 recorded result & sources96.633% · raw 96.633 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Harvey held-out legal work protocol, internet disabled, GPT5.5 medium and Sonnet4.6 judges. Task pass requires every criterion; final is mean of two judges. Criteria-pass rate is separate. DOCX tracked-change grading fix. Distinct from AA hallucination-gated LAB. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":2595.43,"stderr":1.048,"cost_per_test":5.453971,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/hlab |
| Tax Agent Bench · Cost per task · Vals AI | $2.147235/taskmax effort | All 1 recorded result & sources$2.147235/task · raw 2.147235 USD/task Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Private193-item tax suite. All-pass accuracy and must-pass weighted partial credit are separate; both multiply by citation factor0.7+0.3*citation quality. No inferred tax professional reliability. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1084.296,"stderr":3.572,"cost_per_test":2.147235,"token_totals":{"input_tokens":257606995,"output_tokens":9968530,"reasoning_tokens":6086406,"cache_read_tokens":214574250,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} Source score standard error describes the benchmark quality score, not uncertainty in cost or latency. https://www.vals.ai/benchmarks/tax_agent_bench |
| Tax Agent Bench · Task latency · Vals AI | 1084.296 smax effort | All 1 recorded result & sources1084.296 s · raw 1084.296 s Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Private193-item tax suite. All-pass accuracy and must-pass weighted partial credit are separate; both multiply by citation factor0.7+0.3*citation quality. No inferred tax professional reliability. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1084.296,"stderr":3.572,"cost_per_test":2.147235,"token_totals":{"input_tokens":257606995,"output_tokens":9968530,"reasoning_tokens":6086406,"cache_read_tokens":214574250,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} Source score standard error describes the benchmark quality score, not uncertainty in cost or latency. https://www.vals.ai/benchmarks/tax_agent_bench |
| Tax Agent Bench · All-Pass Accuracy · Fact-Pattern Analysis · Vals AI | 46.512%max effort | All 1 recorded result & sources46.512% · raw 46.512 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Private193-item tax suite. All-pass accuracy and must-pass weighted partial credit are separate; both multiply by citation factor0.7+0.3*citation quality. No inferred tax professional reliability. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1141.924,"stderr":7.696,"cost_per_test":2.157843,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/tax_agent_bench |
| Tax Agent Bench · All-Pass Accuracy · Rule & Source Lookup · Vals AI | 50.000%max effort | All 1 recorded result & sources50.000% · raw 50 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Private193-item tax suite. All-pass accuracy and must-pass weighted partial credit are separate; both multiply by citation factor0.7+0.3*citation quality. No inferred tax professional reliability. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":972.116,"stderr":9.285,"cost_per_test":1.973979,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/tax_agent_bench |
| Tax Agent Bench · All-Pass Accuracy · Current & Temporal Analysis · Vals AI | 56.614%max effort | All 1 recorded result & sources56.614% · raw 56.614 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Private193-item tax suite. All-pass accuracy and must-pass weighted partial credit are separate; both multiply by citation factor0.7+0.3*citation quality. No inferred tax professional reliability. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1369.127,"stderr":9.193,"cost_per_test":2.742275,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/tax_agent_bench |
| Tax Agent Bench · All-Pass Accuracy · Numbers & Calculations · Vals AI | 46.667%max effort | All 1 recorded result & sources46.667% · raw 46.667 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Private193-item tax suite. All-pass accuracy and must-pass weighted partial credit are separate; both multiply by citation factor0.7+0.3*citation quality. No inferred tax professional reliability. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":455.508,"stderr":9.264,"cost_per_test":0.876776,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/tax_agent_bench |
| Tax Agent Bench · All-Pass Accuracy · Forms & Filings · Vals AI | 30.000%max effort | All 1 recorded result & sources30.000% · raw 30 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Private193-item tax suite. All-pass accuracy and must-pass weighted partial credit are separate; both multiply by citation factor0.7+0.3*citation quality. No inferred tax professional reliability. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1264.709,"stderr":8.51,"cost_per_test":2.488422,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/tax_agent_bench |
| Tax Agent Bench · All-Pass Accuracy · Controversy & Precedence Analysis · Vals AI | 26.667%max effort | All 1 recorded result & sources26.667% · raw 26.667 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Private193-item tax suite. All-pass accuracy and must-pass weighted partial credit are separate; both multiply by citation factor0.7+0.3*citation quality. No inferred tax professional reliability. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1309.206,"stderr":8.212,"cost_per_test":2.63952,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/tax_agent_bench |
| Tax Agent Bench · Weighted Pass · Fact-Pattern Analysis · Vals AI | 74.764%max effort | All 1 recorded result & sources74.764% · raw 74.764 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Private193-item tax suite. All-pass accuracy and must-pass weighted partial credit are separate; both multiply by citation factor0.7+0.3*citation quality. No inferred tax professional reliability. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1141.924,"stderr":6.372,"cost_per_test":2.157843,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/tax_agent_bench |
| Tax Agent Bench · Weighted Pass · Rule & Source Lookup · Vals AI | 68.105%max effort | All 1 recorded result & sources68.105% · raw 68.105 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Private193-item tax suite. All-pass accuracy and must-pass weighted partial credit are separate; both multiply by citation factor0.7+0.3*citation quality. No inferred tax professional reliability. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":972.116,"stderr":8.313,"cost_per_test":1.973979,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/tax_agent_bench |
| Tax Agent Bench · Weighted Pass · Current & Temporal Analysis · Vals AI | 78.312%max effort | All 1 recorded result & sources78.312% · raw 78.312 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Private193-item tax suite. All-pass accuracy and must-pass weighted partial credit are separate; both multiply by citation factor0.7+0.3*citation quality. No inferred tax professional reliability. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1369.127,"stderr":7.299,"cost_per_test":2.742275,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/tax_agent_bench |
| Tax Agent Bench · Weighted Pass · Numbers & Calculations · Vals AI | 76.278%max effort | All 1 recorded result & sources76.278% · raw 76.278 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Private193-item tax suite. All-pass accuracy and must-pass weighted partial credit are separate; both multiply by citation factor0.7+0.3*citation quality. No inferred tax professional reliability. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":455.508,"stderr":7.154,"cost_per_test":0.876776,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/tax_agent_bench |
| Tax Agent Bench · Weighted Pass · Forms & Filings · Vals AI | 76.552%max effort | All 1 recorded result & sources76.552% · raw 76.552 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Private193-item tax suite. All-pass accuracy and must-pass weighted partial credit are separate; both multiply by citation factor0.7+0.3*citation quality. No inferred tax professional reliability. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1264.709,"stderr":7.157,"cost_per_test":2.488422,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/tax_agent_bench |
| Tax Agent Bench · Weighted Pass · Controversy & Precedence Analysis · Vals AI | 76.097%max effort | All 1 recorded result & sources76.097% · raw 76.097 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: publisher benchmark protocol. Private193-item tax suite. All-pass accuracy and must-pass weighted partial credit are separate; both multiply by citation factor0.7+0.3*citation quality. No inferred tax professional reliability. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":1309.206,"stderr":7.11,"cost_per_test":2.63952,"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":null} https://www.vals.ai/benchmarks/tax_agent_bench |
| Vibe Code Bench v1.1 · Vals AI | 85.996%max effort | All 2 recorded results & sources85.996% · raw 85.996 % Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: OpenHands. Independent model-plus-harness web-application evaluation. Preserve OpenHands versus other agent variants; source costs/runtime are task observations, not API tariffs. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":648.336,"stderr":1.933,"cost_per_test":2.293448,"token_totals":{"input_tokens":222902077,"output_tokens":2071146,"reasoning_tokens":144351,"cache_read_tokens":215357588,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":"OpenHands"} https://www.vals.ai/benchmarks/vibe-code86.000% · raw 86 % Alternative · max effort · Independent evaluator Source/record date: 2026-10-12 Vals exact Meta Wonder identity, model page linked by 12 October v2 Finance/Index boards; max effort. Default Meta provider, temperature 1, top_p/top_k default, 131,072 output-token harness ceiling; suite overrides possible. Run date unpublished. Published uncertainty ±1.93 percentage points. Citation repaired 2026-10-14: original https://www.vals.ai/models/meta_straw_110_max now returns 404; the exact renamed model page https://www.vals.ai/models/meta_muse-wonder-full reproduces this recorded value at its published precision. Historical score, effort and as_of are retained. Demoted 2026-10-20: current publisher observation from https://www.vals.ai/benchmarks/vibe-code is the headline for this same version/configuration family; this historical value and source remain available. Revised benchmark versions use separate metrics. https://www.vals.ai/models/meta_muse-wonder-full |
| Vibe Code Bench v1.1 cost per task · Vals AI | $2.293448/taskmax effort | All 2 recorded results & sources$2.293448/task · raw 2.293448 USD/task Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: OpenHands. Independent model-plus-harness web-application evaluation. Preserve OpenHands versus other agent variants; source costs/runtime are task observations, not API tariffs. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":648.336,"stderr":1.933,"cost_per_test":2.293448,"token_totals":{"input_tokens":222902077,"output_tokens":2071146,"reasoning_tokens":144351,"cache_read_tokens":215357588,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":"OpenHands"} Source score standard error describes the benchmark quality score, not uncertainty in cost or latency. https://www.vals.ai/benchmarks/vibe-code$2.29/task · raw 2.29 USD/task Alternative · max effort · Independent evaluator Source/record date: 2026-10-12 Published evaluator Cost / Test; max default, suite-specific harness. Vibe Code uses OpenHands. Not token prices or subscription charges; Full priced evaluator run does not establish a public API. Demoted 2026-10-20: current publisher observation from https://www.vals.ai/benchmarks/vibe-code is the headline for this same version/configuration family; this historical value and source remain available. Revised benchmark versions use separate metrics. https://www.vals.ai/benchmarks/vibe-code |
| Vibe Code Bench v1.1 · Task latency · Vals AI | 648.336 smax effort | All 1 recorded result & sources648.336 s · raw 648.336 s Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Harness: OpenHands. Independent model-plus-harness web-application evaluation. Preserve OpenHands versus other agent variants; source costs/runtime are task observations, not API tariffs. Published summary updated 19 October 2026; exact run dates and serving weight SHA unpublished. Requested effort from published reasoning_effort/compute_effort is not a common compute budget. Raw source diagnostics: {"latency":648.336,"stderr":1.933,"cost_per_test":2.293448,"token_totals":{"input_tokens":222902077,"output_tokens":2071146,"reasoning_tokens":144351,"cache_read_tokens":215357588,"cache_write_tokens":0},"temperature":1.0,"top_p":null,"max_output_tokens":131072,"reasoning":null,"reasoning_effort":"max","verbosity":null,"compute_effort":null,"provider":"Meta","harness":"OpenHands"} Source score standard error describes the benchmark quality score, not uncertainty in cost or latency. https://www.vals.ai/benchmarks/vibe-code |
| GDPval-AA v2.1 Elo · Artificial Analysis | 1857max effort | All 1 recorded result & sources1857 · raw 1857 Elo Headline · max effort · Independent evaluator Source/record date: 2026-10-20 Manually observed public GDPval-AA v2.1 leaderboard table, full 298-configuration pool checked 20 October 2026. Exact source configuration: Muse Wonder Full (Max); creator: Meta; source rank 2; source release-month label Oct 2026 is model release metadata, not execution date. Published rounded native Elo 1857; literal displayed CI -25 / +25. Native Elo is not a percentage and is not the normalized (Elo−500)/2000 chart quantity. This versioned metric is separate from older generic GDPval-AA Elo and vendor GDPval/GDPval-AA results; no old evidence is overwritten. Execution date, inference precision, unprinted effort budgets and task costs are unpublished in this captured table. Elo is relative to the dated comparison pool; drift from an earlier observation does not prove a new evaluation run. Headline: highest published native Elo for this exact approved model; tied values prefer existing featured effort then source order. https://artificialanalysis.ai/evaluations/gdpval-aa |
| Intelligence Index · Artificial Analysis | 55.8max effort | All 1 recorded result & sources55.8 · raw 55.802119985562 index Headline · max effort · Independent evaluator Source/record date: 2026-10-12 AA exact public model-page data, max effort; checked 12 October 2026, run date unpublished. Intelligence Index v4.3.2; non-estimated. Native index/Elo scale. https://artificialanalysis.ai/models/muse-wonder-full |
| GDPval-AA Elo · Artificial Analysis | 1857.1max effort | All 1 recorded result & sources1857.1 · raw 1857.09 Elo Headline · max effort · Independent evaluator Source/record date: 2026-10-12 AA exact public model-page data, max effort; checked 12 October 2026, run date unpublished. Intelligence Index v4.3.2; non-estimated. Native index/Elo scale. https://artificialanalysis.ai/models/muse-wonder-full |
| AA-Omniscience Index · Artificial Analysis | 30.2max effort | All 1 recorded result & sources30.2 · raw 30.15 index Headline · max effort · Independent evaluator Source/record date: 2026-10-12 AA exact public model-page data, max effort; checked 12 October 2026, run date unpublished. Intelligence Index v4.3.2; non-estimated. Native index/Elo scale. https://artificialanalysis.ai/models/muse-wonder-full |
| AA-Omniscience accuracy · Artificial Analysis | 43.2%max effort | All 1 recorded result & sources43.2% · raw 43.216666666667 % Headline · max effort · Independent evaluator Source/record date: 2026-10-12 AA exact public model-page data, max effort; checked 12 October 2026, run date unpublished. Intelligence Index v4.3.2; non-estimated. Raw 0–1 score ×100. https://artificialanalysis.ai/models/muse-wonder-full |
| AA-Omniscience hallucination rate · Artificial Analysis | 23%max effort | All 1 recorded result & sources23% · raw 23.011447020839 % Headline · max effort · Independent evaluator Source/record date: 2026-10-12 AA exact public model-page data, max effort; checked 12 October 2026, run date unpublished. Intelligence Index v4.3.2; non-estimated. Raw 0–1 score ×100. https://artificialanalysis.ai/models/muse-wonder-full |
| Terminal-Bench 4.0 (AA) · Artificial Analysis | 57.1%max effort | All 1 recorded result & sources57.1% · raw 57.070707070707 % Headline · max effort · Independent evaluator Source/record date: 2026-10-12 AA exact public model-page data, max effort; checked 12 October 2026, run date unpublished. Intelligence Index v4.3.2; non-estimated. Raw 0–1 score ×100. https://artificialanalysis.ai/models/muse-wonder-full |
| SciCode (AA) · Artificial Analysis | 62.6%max effort | All 1 recorded result & sources62.6% · raw 62.615740740741 % Headline · max effort · Independent evaluator Source/record date: 2026-10-12 AA exact public model-page data, max effort; checked 12 October 2026, run date unpublished. Intelligence Index v4.3.2; non-estimated. Raw 0–1 score ×100. Evaluation marked under review on source. https://artificialanalysis.ai/models/muse-wonder-full |
| AA-LCR · Artificial Analysis | 83.7%max effort | All 1 recorded result & sources83.7% · raw 83.666666666667 % Headline · max effort · Independent evaluator Source/record date: 2026-10-12 AA exact public model-page data, max effort; checked 12 October 2026, run date unpublished. Intelligence Index v4.3.2; non-estimated. Raw 0–1 score ×100. https://artificialanalysis.ai/models/muse-wonder-full |
| Humanity's Last Exam (AA harness) · Artificial Analysis | 53.6%max effort | All 1 recorded result & sources53.6% · raw 53.614457831325 % Headline · max effort · Independent evaluator Source/record date: 2026-10-12 AA exact public model-page data, max effort; checked 12 October 2026, run date unpublished. Intelligence Index v4.3.2; non-estimated. Raw 0–1 score ×100. https://artificialanalysis.ai/models/muse-wonder-full |
| GDP.PDF (AA) · Artificial Analysis | 32.6%max effort | All 1 recorded result & sources32.6% · raw 32.6 % Headline · max effort · Independent evaluator Source/record date: 2026-10-12 AA exact public model-page data, max effort; checked 12 October 2026, run date unpublished. Intelligence Index v4.3.2; non-estimated. Raw 0–1 score ×100. https://artificialanalysis.ai/models/muse-wonder-full |
| CritPt (AA) · Artificial Analysis | 32.9%max effort | All 1 recorded result & sources32.9% · raw 32.857142857143 % Headline · max effort · Independent evaluator Source/record date: 2026-10-12 AA exact public model-page data, max effort; checked 12 October 2026, run date unpublished. Intelligence Index v4.3.2; non-estimated. Raw 0–1 score ×100. Evaluation marked under review on source. https://artificialanalysis.ai/models/muse-wonder-full |
| AutomationBench (AA) · Artificial Analysis | 71.3%max effort | All 1 recorded result & sources71.3% · raw 71.33074973224 % Headline · max effort · Independent evaluator Source/record date: 2026-10-12 AA exact public model-page data, max effort; checked 12 October 2026, run date unpublished. Intelligence Index v4.3.2; non-estimated. Raw 0–1 score ×100. Partial reward, not strict all-assertion completion (Meta quotes 39.1/45.4 strict). https://artificialanalysis.ai/models/muse-wonder-full |
| AA Industry Index · Finance and accounting · Artificial Analysis | 54.2max effort | All 1 recorded result & sources54.2 · raw 54.152003084622 index Headline · max effort · Independent evaluator Source/record date: 2026-10-12 AA exact public model-page data, max effort; checked 12 October 2026, run date unpublished. Intelligence Index v4.3.2; non-estimated. Native capability index; not percent. https://artificialanalysis.ai/models/muse-wonder-full |
| AA Industry Index · Strategy and operations · Artificial Analysis | 57.8max effort | All 1 recorded result & sources57.8 · raw 57.767241011047 index Headline · max effort · Independent evaluator Source/record date: 2026-10-12 AA exact public model-page data, max effort; checked 12 October 2026, run date unpublished. Intelligence Index v4.3.2; non-estimated. Native capability index; not percent. https://artificialanalysis.ai/models/muse-wonder-full |
| AA Industry Index · Legal · Artificial Analysis | 54.7max effort | All 1 recorded result & sources54.7 · raw 54.73463646402 index Headline · max effort · Independent evaluator Source/record date: 2026-10-12 AA exact public model-page data, max effort; checked 12 October 2026, run date unpublished. Intelligence Index v4.3.2; non-estimated. Native capability index; not percent. https://artificialanalysis.ai/models/muse-wonder-full |
| AA Industry Index · Engineering · Artificial Analysis | 57max effort | All 1 recorded result & sources57 · raw 56.968396163876 index Headline · max effort · Independent evaluator Source/record date: 2026-10-12 AA exact public model-page data, max effort; checked 12 October 2026, run date unpublished. Intelligence Index v4.3.2; non-estimated. Native capability index; not percent. https://artificialanalysis.ai/models/muse-wonder-full |
| AA Industry Index · Economics · Artificial Analysis | 60.7max effort | All 1 recorded result & sources60.7 · raw 60.725956074297 index Headline · max effort · Independent evaluator Source/record date: 2026-10-12 AA exact public model-page data, max effort; checked 12 October 2026, run date unpublished. Intelligence Index v4.3.2; non-estimated. Native capability index; not percent. https://artificialanalysis.ai/models/muse-wonder-full |
| AA-Briefcase Elo · Artificial Analysis | 1729.3max effort | All 1 recorded result & sources1729.3 · raw 1729.32 Elo Headline · max effort · Independent evaluator Source/record date: 2026-10-12 AA exact public model-page data, max effort; checked 12 October 2026, run date unpublished. Intelligence Index v4.3.2; non-estimated. AA-Briefcase v1.1; rubric fraction converted to percent, quality/presentation retain Elo. https://artificialanalysis.ai/models/muse-wonder-full |
| AA-Briefcase rubric pass rate · Artificial Analysis | 61.3%max effort | All 1 recorded result & sources61.3% · raw 61.313131313131 % Headline · max effort · Independent evaluator Source/record date: 2026-10-12 AA exact public model-page data, max effort; checked 12 October 2026, run date unpublished. Intelligence Index v4.3.2; non-estimated. AA-Briefcase v1.1; rubric fraction converted to percent, quality/presentation retain Elo. https://artificialanalysis.ai/models/muse-wonder-full |
| AA-Briefcase analytical quality Elo · Artificial Analysis | 2116.3max effort | All 1 recorded result & sources2116.3 · raw 2116.26 Elo Headline · max effort · Independent evaluator Source/record date: 2026-10-12 AA exact public model-page data, max effort; checked 12 October 2026, run date unpublished. Intelligence Index v4.3.2; non-estimated. AA-Briefcase v1.1; rubric fraction converted to percent, quality/presentation retain Elo. https://artificialanalysis.ai/models/muse-wonder-full |
| AA-Briefcase presentation Elo · Artificial Analysis | 1524.1max effort | All 1 recorded result & sources1524.1 · raw 1524.05 Elo Headline · max effort · Independent evaluator Source/record date: 2026-10-12 AA exact public model-page data, max effort; checked 12 October 2026, run date unpublished. Intelligence Index v4.3.2; non-estimated. AA-Briefcase v1.1; rubric fraction converted to percent, quality/presentation retain Elo. https://artificialanalysis.ai/models/muse-wonder-full |
| Vals Index (legacy, before v2.2) · Vals AI | 64.570%max effort | All 1 recorded result & sources64.570% · raw 64.57 % Headline · max effort · Independent evaluator Source/record date: 2026-10-12 Vals exact Meta Wonder identity, model page linked by 12 October v2 Finance/Index boards; max effort. Default Meta provider, temperature 1, top_p/top_k default, 131,072 output-token harness ceiling; suite overrides possible. Run date unpublished. Published uncertainty ±1.07 percentage points. Citation repaired 2026-10-14: original https://www.vals.ai/models/meta_straw_110_max now returns 404; the exact renamed model page https://www.vals.ai/models/meta_muse-wonder-full reproduces this recorded value at its published precision. Historical score, effort and as_of are retained. https://www.vals.ai/models/meta_muse-wonder-full |
| Code Migration (full benchmark) · Vals AI | 61%max effort | All 1 recorded result & sources61% · raw 61.03 % Headline · max effort · Independent evaluator Source/record date: 2026-10-12 Vals exact Meta Wonder identity, model page linked by 12 October v2 Finance/Index boards; max effort. Default Meta provider, temperature 1, top_p/top_k default, 131,072 output-token harness ceiling; suite overrides possible. Run date unpublished. Published uncertainty ±4.42 percentage points. Citation repaired 2026-10-14: original https://www.vals.ai/models/meta_straw_110_max now returns 404; the exact renamed model page https://www.vals.ai/models/meta_muse-wonder-full reproduces this recorded value at its published precision. Historical score, effort and as_of are retained. https://www.vals.ai/models/meta_muse-wonder-full |
| CyberBench v1.1 · Vals AI | 73.6%max effort | All 1 recorded result & sources73.6% · raw 73.63 % Headline · max effort · Independent evaluator Source/record date: 2026-10-12 Vals exact Meta Wonder identity, model page linked by 12 October v2 Finance/Index boards; max effort. Default Meta provider, temperature 1, top_p/top_k default, 131,072 output-token harness ceiling; suite overrides possible. Run date unpublished. Published uncertainty ±5.56 percentage points. Vals CyberBench v1.1 capability, not Meta refusal CyberBench. Citation repaired 2026-10-14: original https://www.vals.ai/models/meta_straw_110_max now returns 404; the exact renamed model page https://www.vals.ai/models/meta_muse-wonder-full reproduces this recorded value at its published precision. Historical score, effort and as_of are retained. https://www.vals.ai/models/meta_muse-wonder-full |
| Excel Modeling Benchmark · Vals AI | 71.9%max effort | All 1 recorded result & sources71.9% · raw 71.92 % Headline · max effort · Independent evaluator Source/record date: 2026-10-12 Vals exact Meta Wonder identity, model page linked by 12 October v2 Finance/Index boards; max effort. Default Meta provider, temperature 1, top_p/top_k default, 131,072 output-token harness ceiling; suite overrides possible. Run date unpublished. Published uncertainty ±2.66 percentage points. Citation repaired 2026-10-14: original https://www.vals.ai/models/meta_straw_110_max now returns 404; the exact renamed model page https://www.vals.ai/models/meta_muse-wonder-full reproduces this recorded value at its published precision. Historical score, effort and as_of are retained. https://www.vals.ai/models/meta_muse-wonder-full |
| Finance Agent v2 · Vals AI | 59.1%max effort | All 1 recorded result & sources59.1% · raw 59.06 % Headline · max effort · Independent evaluator Source/record date: 2026-10-12 Vals exact Meta Wonder identity, model page linked by 12 October v2 Finance/Index boards; max effort. Default Meta provider, temperature 1, top_p/top_k default, 131,072 output-token harness ceiling; suite overrides possible. Run date unpublished. Published uncertainty ±0.21 percentage points. Citation repaired 2026-10-14: original https://www.vals.ai/models/meta_straw_110_max now returns 404; the exact renamed model page https://www.vals.ai/models/meta_muse-wonder-full reproduces this recorded value at its published precision. Historical score, effort and as_of are retained. https://www.vals.ai/models/meta_muse-wonder-full |
| Legal Research Bench · Vals AI | 53.4%max effort | All 1 recorded result & sources53.4% · raw 53.37 % Headline · max effort · Independent evaluator Source/record date: 2026-10-12 Vals exact Meta Wonder identity, model page linked by 12 October v2 Finance/Index boards; max effort. Default Meta provider, temperature 1, top_p/top_k default, 131,072 output-token harness ceiling; suite overrides possible. Run date unpublished. Published uncertainty ±3.47 percentage points. Citation repaired 2026-10-14: original https://www.vals.ai/models/meta_straw_110_max now returns 404; the exact renamed model page https://www.vals.ai/models/meta_muse-wonder-full reproduces this recorded value at its published precision. Historical score, effort and as_of are retained. https://www.vals.ai/models/meta_muse-wonder-full |
| MysteryMechanism · Vals AI | 35.1%max effort | All 1 recorded result & sources35.1% · raw 35.13 % Headline · max effort · Independent evaluator Source/record date: 2026-10-12 Vals exact Meta Wonder identity, model page linked by 12 October v2 Finance/Index boards; max effort. Default Meta provider, temperature 1, top_p/top_k default, 131,072 output-token harness ceiling; suite overrides possible. Run date unpublished. Published uncertainty ±3.21 percentage points. Citation repaired 2026-10-14: original https://www.vals.ai/models/meta_straw_110_max now returns 404; the exact renamed model page https://www.vals.ai/models/meta_muse-wonder-full reproduces this recorded value at its published precision. Historical score, effort and as_of are retained. https://www.vals.ai/models/meta_muse-wonder-full |
| ProofBench v1.1 · Vals AI | 94%max effort | All 1 recorded result & sources94% · raw 94 % Headline · max effort · Independent evaluator Source/record date: 2026-10-12 Vals exact Meta Wonder identity, model page linked by 12 October v2 Finance/Index boards; max effort. Default Meta provider, temperature 1, top_p/top_k default, 131,072 output-token harness ceiling; suite overrides possible. Run date unpublished. Published uncertainty ±2.39 percentage points. Citation repaired 2026-10-14: original https://www.vals.ai/models/meta_straw_110_max now returns 404; the exact renamed model page https://www.vals.ai/models/meta_muse-wonder-full reproduces this recorded value at its published precision. Historical score, effort and as_of are retained. https://www.vals.ai/models/meta_muse-wonder-full |
| Public Benefits Bench v1.1 · Vals AI | 73.8%max effort | All 1 recorded result & sources73.8% · raw 73.75 % Headline · max effort · Independent evaluator Source/record date: 2026-10-12 Vals exact Meta Wonder identity, model page linked by 12 October v2 Finance/Index boards; max effort. Default Meta provider, temperature 1, top_p/top_k default, 131,072 output-token harness ceiling; suite overrides possible. Run date unpublished. Published uncertainty ±1.15 percentage points. Citation repaired 2026-10-14: original https://www.vals.ai/models/meta_straw_110_max now returns 404; the exact renamed model page https://www.vals.ai/models/meta_muse-wonder-full reproduces this recorded value at its published precision. Historical score, effort and as_of are retained. https://www.vals.ai/models/meta_muse-wonder-full |
| Tax Agent Bench · Legacy mixed quantities · Vals AI | 43%max effort | All 1 recorded result & sources43% · raw 43 % Headline · max effort · Independent evaluator Source/record date: 2026-10-12 Vals exact Meta Wonder identity, model page linked by 12 October v2 Finance/Index boards; max effort. Default Meta provider, temperature 1, top_p/top_k default, 131,072 output-token harness ceiling; suite overrides possible. Run date unpublished. Published uncertainty ±3.57 percentage points. Reviewed 2026-10-14: this legacy generic key mixes quantity labels across models. Current source explicitly identifies this historical value as Accuracy (published current raw 42.997). Keep stored metric/value unchanged for historical evidence; use newly separate citation-adjusted Accuracy and Weighted Pass metrics for like-for-like comparisons. No inferred model regression. Citation repaired 2026-10-14: original https://www.vals.ai/models/meta_straw_110_max now returns 404; the exact renamed model page https://www.vals.ai/models/meta_muse-wonder-full reproduces this recorded value at its published precision. Historical score, effort and as_of are retained. https://www.vals.ai/models/meta_muse-wonder-full |
| BioMysteryBench · Vals AI | 73.3%max effort | All 1 recorded result & sources73.3% · raw 73.33 % Headline · max effort · Independent evaluator Source/record date: 2026-10-12 Vals exact Meta Wonder identity, model page linked by 12 October v2 Finance/Index boards; max effort. Default Meta provider, temperature 1, top_p/top_k default, 131,072 output-token harness ceiling; suite overrides possible. Run date unpublished. Published uncertainty ±0.64 percentage points. Citation repaired 2026-10-14: original https://www.vals.ai/models/meta_straw_110_max now returns 404; the exact renamed model page https://www.vals.ai/models/meta_muse-wonder-full reproduces this recorded value at its published precision. Historical score, effort and as_of are retained. https://www.vals.ai/models/meta_muse-wonder-full |
| Harvey Legal Agent (Vals harness) · Vals AI | 21.7%max effort | All 1 recorded result & sources21.7% · raw 21.67 % Headline · max effort · Independent evaluator Source/record date: 2026-10-12 Vals exact Meta Wonder identity, model page linked by 12 October v2 Finance/Index boards; max effort. Default Meta provider, temperature 1, top_p/top_k default, 131,072 output-token harness ceiling; suite overrides possible. Run date unpublished. Published uncertainty ±3.54 percentage points. Citation repaired 2026-10-14: original https://www.vals.ai/models/meta_straw_110_max now returns 404; the exact renamed model page https://www.vals.ai/models/meta_muse-wonder-full reproduces this recorded value at its published precision. Historical score, effort and as_of are retained. https://www.vals.ai/models/meta_muse-wonder-full |
| IOI · Vals AI | 79.8%max effort | All 1 recorded result & sources79.8% · raw 79.83 % Headline · max effort · Independent evaluator Source/record date: 2026-10-12 Vals exact Meta Wonder identity, model page linked by 12 October v2 Finance/Index boards; max effort. Default Meta provider, temperature 1, top_p/top_k default, 131,072 output-token harness ceiling; suite overrides possible. Run date unpublished. Published uncertainty ±2.99 percentage points. Citation repaired 2026-10-14: original https://www.vals.ai/models/meta_straw_110_max now returns 404; the exact renamed model page https://www.vals.ai/models/meta_muse-wonder-full reproduces this recorded value at its published precision. Historical score, effort and as_of are retained. https://www.vals.ai/models/meta_muse-wonder-full |
| ProgramBench · Vals AI | 0.5%max effort | All 1 recorded result & sources0.5% · raw 0.5 % Headline · max effort · Independent evaluator Source/record date: 2026-10-12 Vals exact Meta Wonder identity, model page linked by 12 October v2 Finance/Index boards; max effort. Default Meta provider, temperature 1, top_p/top_k default, 131,072 output-token harness ceiling; suite overrides possible. Run date unpublished. Published uncertainty ±0.50 percentage points. Vals ProgramBench fully-resolved score; not Meta mini-swe-agent ≥95%-tests Almost score. Citation repaired 2026-10-14: original https://www.vals.ai/models/meta_straw_110_max now returns 404; the exact renamed model page https://www.vals.ai/models/meta_muse-wonder-full reproduces this recorded value at its published precision. Historical score, effort and as_of are retained. https://www.vals.ai/models/meta_muse-wonder-full |
| Terminal-Bench 4.0 · Vals AI | 58.1%max effort | All 1 recorded result & sources58.1% · raw 58.08 % Headline · max effort · Independent evaluator Source/record date: 2026-10-12 Vals exact Meta Wonder identity, model page linked by 12 October v2 Finance/Index boards; max effort. Default Meta provider, temperature 1, top_p/top_k default, 131,072 output-token harness ceiling; suite overrides possible. Run date unpublished. Published uncertainty ±3.31 percentage points. Citation repaired 2026-10-14: original https://www.vals.ai/models/meta_straw_110_max now returns 404; the exact renamed model page https://www.vals.ai/models/meta_muse-wonder-full reproduces this recorded value at its published precision. Historical score, effort and as_of are retained. https://www.vals.ai/models/meta_muse-wonder-full |
| Vals Index cost per task · Vals AI | $8.559/taskmax effort | All 1 recorded result & sources$8.559/task · raw 8.559 USD/task Headline · max effort · Independent evaluator Source/record date: 2026-10-12 Vals observed index cost/test; max effort. Model page full precision; dated evaluator valuation, not public API availability or a subscription bill. Run date unpublished. Citation repaired 2026-10-14: original https://www.vals.ai/models/meta_straw_110_max now returns 404; the exact renamed model page https://www.vals.ai/models/meta_muse-wonder-full reproduces this recorded value at its published precision. Historical score, effort and as_of are retained. https://www.vals.ai/models/meta_muse-wonder-full |
| Finance Agent v2 cost per task · Vals AI | $2.39/taskmax effort | All 1 recorded result & sources$2.39/task · raw 2.39 USD/task Headline · max effort · Independent evaluator Source/record date: 2026-10-12 Published evaluator Cost / Test; max default, suite-specific harness. Vibe Code uses OpenHands. Not token prices or subscription charges; Full priced evaluator run does not establish a public API. https://www.vals.ai/benchmarks/fabv2 |
| Vending-Bench 2 · Net money gain · Andon Labs | $11791.56unknown effort | All 1 recorded result & sources$11791.56 · raw 11791.56 USD Headline · unknown effort · Independent evaluator Source/record date: 2026-10-14 Harness: Andon Vending-Bench 2; exact public configuration Muse Wonder Full. Source runs.vb 2.final_value is the publisher's arithmetic mean final bank balance over 6 year-long simulated runs, not a new average created by Examenos. Net money gain = published mean final balance $12291.558333333334 minus the benchmark's $500 starting balance; $11791.56 net gain, rounded to cents. Mean final-balance std 2167.231184155643; SEM 884.7684259715148; 95% CI half-width 1734.146114904169. Preserve standard deviation and CI semantics. This is simulated business money, not API cost, real revenue or subscription value. Source model effort and execution dates are not published in this data module. Vending-Bench 1 data are excluded. https://andonlabs.com/evals/vending-bench-2 |
| Bug Hunt Bench · Bugs fixed (105 total) · Bug Hunt Bench | 42 fixesmax effort | All 4 recorded results & sources42 fixes · raw 42 fixes Headline · max effort · Independent evaluator Source/record date: 2026-10-16 Harness: Muse Code / Meta API. Current source two-run mean; Meta's Muse Wonder Full 1.0 at max effort through Muse Code, Meta's own agent CLI. MEAN OF TWO RUNS: 44 and 40 of 105 (repo 1: 22 and 21 of 45 - repo 2: 22 and 19 of 60), mean 42.0. Genuine unplanted extras 53 and 20; claimed-only fixes 0 and 0. Active minutes 138.2 and 152.3. *** XHIGH, ALSO A MEAN OF TWO *** stands at 41.5 (16.0 on repo 1, 25.5 on repo 2). One run each had tied the tiers at 44; two runs each put max narrowly ahead. The tiers split the repos consistently: max leads on repo 1, xhigh on repo 2. *** RUN 2 RAN IN SEGMENTS *** It was interrupted - by the subscription's usage windows, by an operator stop and by a closed console - and each time Muse Code continued the same session. Its wall counts active time only: each segment from its first model call to its last before any refusal; every pause is excluded. Run 2 also straddles a harness update: Muse Code 1.4.1 for its first segment(s), 1.4.7 after the launcher updated itself. *** COST UNKNOWN *** Meta publishes no rate for Full; the cost column is blank, not estimated. *** EFFORT max *** the top of the effort list Muse Code's catalog gives this model; not magnitude-probed. The tier describes Muse Code's main loop. *** RECEIPTS *** 2 of the 4 legs shared the laptop with another arm and the rest had it to themselves, which the wall marker discloses per leg - scores, tokens and cost are untouched by that, only the clock. Judge: blind Codex gpt-5.5, which is neither this model nor a sibling of it. Mean of two runs (44 and 40 of 105). Run 2 ran in resumed segments; its time is active time only, and it spans Muse Code 1.4.1 and 1.4.7. Cost unknown: Meta publishes no price for this model. Model run dates are not inferred from this aggregate row date. Only planted fixes count; no cost is invented. Checked 16 October 2026. https://bughunt.productcompass.pm/?preset=featured44 fixes · raw 44 fixes Alternative · max effort · Independent evaluator Source/record date: 2026-10-14 Harness: Muse Code 1.4.1 / Meta API; exact Muse Wonder Full 1.0 max configuration, n 1, source row 13 Oct 2026, checked 14 Oct. Planted fixes 44/105; native effort status first_party. This single run is not a replication mean. Max and xhigh are separate source configurations despite equal observed scores. Only planted fixes count. Keep the source's requested/verified effort qualification; no conversion to a provider allowance, bill or general workload cost. Superseded 16 October 2026 by current two-run max mean 42 from the same board; original single-run value and observation date preserved. https://bughunt.productcompass.pm/?preset=featured41.5 fixes · raw 41.5 fixes Alternative · xhigh effort · Independent evaluator Source/record date: 2026-10-16 Harness: Muse Code / Meta API. Current source two-run mean; Meta's Muse Wonder Full 1.0 at xhigh effort through Muse Code, Meta's own agent CLI. MEAN OF TWO RUNS: 44 and 39 of 105 (repo 1: 16 and 16 of 45 - repo 2: 28 and 23 of 60), mean 41.5. Genuine unplanted extras 35 and 14; claimed-only fixes 0 and 0. Active minutes 80.3 and 100.8. *** MAX, ALSO A MEAN OF TWO *** stands at 42.0 (21.5 on repo 1, 20.5 on repo 2). One run each had tied the tiers at 44; two runs each put max narrowly ahead. The tiers split the repos consistently: max leads on repo 1, xhigh on repo 2. *** RUN 2 RAN IN SEGMENTS *** It was interrupted - by the subscription's usage windows, by an operator stop and by a closed console - and each time Muse Code continued the same session. Its wall counts active time only: each segment from its first model call to its last before any refusal; every pause is excluded. Run 2 also straddles a harness update: Muse Code 1.4.1 for its first segment(s), 1.4.7 after the launcher updated itself. *** COST UNKNOWN *** Meta publishes no rate for Full; the cost column is blank, not estimated. *** EFFORT xhigh *** one tier below the top of the effort list Muse Code's catalog gives this model; not magnitude-probed. The tier describes Muse Code's main loop. *** RECEIPTS *** 2 of the 4 legs shared the laptop with another arm and the rest had it to themselves, which the wall marker discloses per leg - scores, tokens and cost are untouched by that, only the clock. Judge: blind Codex gpt-5.5, which is neither this model nor a sibling of it. Mean of two runs (44 and 39 of 105). Run 2 ran in resumed segments; its time is active time only, and it spans Muse Code 1.4.1 and 1.4.7. Cost unknown: Meta publishes no price for this model. Model run dates are not inferred from this aggregate row date. Only planted fixes count; no cost is invented. Checked 16 October 2026. https://bughunt.productcompass.pm/?preset=featured44 fixes · raw 44 fixes Alternative · xhigh effort · Independent evaluator Source/record date: 2026-10-14 Harness: Muse Code 1.4.1 / Meta API; exact Muse Wonder Full 1.0 xhigh configuration, n 1, source row 13 Oct 2026, checked 14 Oct. Planted fixes 44/105; native effort status first_party. This single run is not a replication mean. Max and xhigh are separate source configurations despite equal observed scores. Only planted fixes count. Keep the source's requested/verified effort qualification; no conversion to a provider allowance, bill or general workload cost. Superseded 16 October 2026 by current two-run xhigh mean 41.5 from the same board; original single-run value and observation date preserved. https://bughunt.productcompass.pm/?preset=featured |
| Terminal-Bench Science (Vals; version unspecified) · Vals AI | 37.1%max effort | All 1 recorded result & sources37.1% · raw 37.143 % Headline · max effort · Independent evaluator Source/record date: 2026-10-14 Vals exact model page https://www.vals.ai/models/meta_muse-wonder-full; source label Terminal-Bench Science, 37.14%, published uncertainty ±5.82 percentage points. Default provider Meta, effort max, max-output harness ceiling 131,072; individual suites can override defaults. Model page defaults are not inferred vendor product limits. Suite revision/runner is checked against its primary benchmark page. Run execution date unpublished. Current suite page explicitly version 0.1; distinct from AA/Hermes harnesses. Primary suite Terminal-Bench Science v 0.1, public dataset, agentic runner external; primary updated 2026-10-13. Harness: Mini-SWE-agent. https://www.vals.ai/models/meta_muse-wonder-full |
| Harvey LAB-AA v1.1 Hallucination-Gated All-Pass Rate · Artificial Analysis | 13.1%max effort | All 1 recorded result & sources13.1% · raw 13.1 % Headline · max effort · Independent evaluator Source/record date: 2026-10-14 Harness: Artificial Analysis Stirrup, Harvey private LAB v 1.1 120 tasks /24 practice areas, pass@1, up to 200 turns. Published exact configuration Muse Wonder Full (Max). Three rubric judges GPT-6 Sol/Grok 4.7/Claude Opus 5.5 medium; material hallucination checks GPT-6 Sol high. Material flags zero a task, minor flags do not. Current visible source table has 27 configurations, checked 14 Oct 2026; run date unpublished. This is independent Harvey v 1.1, not legacy HLAB(AA), Vals HLAB or Meta vendor-cited Harvey. Curated existing-metric refresh for current owner request; no future AA automated adapter authorization. https://artificialanalysis.ai/evaluations/harvey-lab-aa |
| Harvey LAB-AA v1.1 Criterion Pass Rate · Artificial Analysis | 95.5%max effort | All 1 recorded result & sources95.5% · raw 95.5 % Headline · max effort · Independent evaluator Source/record date: 2026-10-14 Harness: Artificial Analysis Stirrup, Harvey private LAB v 1.1 120 tasks /24 practice areas, pass@1, up to 200 turns. Published exact configuration Muse Wonder Full (Max). Three rubric judges GPT-6 Sol/Grok 4.7/Claude Opus 5.5 medium; material hallucination checks GPT-6 Sol high. Material flags zero a task, minor flags do not. Current visible source table has 27 configurations, checked 14 Oct 2026; run date unpublished. This is independent Harvey v 1.1, not legacy HLAB(AA), Vals HLAB or Meta vendor-cited Harvey. Curated existing-metric refresh for current owner request; no future AA automated adapter authorization. https://artificialanalysis.ai/evaluations/harvey-lab-aa |
| Harvey LAB-AA v1.1 Material Hallucinations per Task · Artificial Analysis | 0.62 hallucinations/taskmax effort | All 1 recorded result & sources0.62 hallucinations/task · raw 0.62 hallucinations/task Headline · max effort · Independent evaluator Source/record date: 2026-10-14 Harness: Artificial Analysis Stirrup, Harvey private LAB v 1.1 120 tasks /24 practice areas, pass@1, up to 200 turns. Published exact configuration Muse Wonder Full (Max). Three rubric judges GPT-6 Sol/Grok 4.7/Claude Opus 5.5 medium; material hallucination checks GPT-6 Sol high. Material flags zero a task, minor flags do not. Current visible source table has 27 configurations, checked 14 Oct 2026; run date unpublished. This is independent Harvey v 1.1, not legacy HLAB(AA), Vals HLAB or Meta vendor-cited Harvey. Curated existing-metric refresh for current owner request; no future AA automated adapter authorization. Mean material flags per checked usable submission, native count; not percent. https://artificialanalysis.ai/evaluations/harvey-lab-aa |
| Tax Agent Bench Accuracy (all-pass, citation-adjusted) · Vals AI | 42.997%max effort | All 1 recorded result & sources42.997% · raw 42.997 % Headline · max effort · Independent evaluator Source/record date: 2026-10-14 Harness: Vals Tax Agent Bench v 1, private 193-question corporate-tax test set; all questions equally weighted,3-89 rubric checks/question with 1-3 importance weights. Current source 14 Oct 2026, primary updated 12 Oct. Only final answer/citations graded; timed-out unanswered question zero. Citation factor=0.7+0.3*fraction of cited sources resolving to real authoritative documents. Accuracy requires every rubric check passing; any failed check zeroes task. Weighted Pass is weighted rubric points earned times citation factor, with any must-pass failure zeroing task (approximately 40% of checks must-pass). LLM-judged, separate from real professional correctness. This exact metric is kept separate from generic legacy Tax Agent Bench rows which mix quantity labels. Default model effortmax; individual suite overrides possible, run date unpublished. Model card displays ±3.57 percentage points; confidence level not inferred. https://www.vals.ai/benchmarks/tax_agent_bench |
| Tax Agent Bench Weighted Pass (citation-adjusted) · Vals AI | 75.001%max effort | All 1 recorded result & sources75.001% · raw 75.001 % Headline · max effort · Independent evaluator Source/record date: 2026-10-14 Harness: Vals Tax Agent Bench v 1, private 193-question corporate-tax test set; all questions equally weighted,3-89 rubric checks/question with 1-3 importance weights. Current source 14 Oct 2026, primary updated 12 Oct. Only final answer/citations graded; timed-out unanswered question zero. Citation factor=0.7+0.3*fraction of cited sources resolving to real authoritative documents. Accuracy requires every rubric check passing; any failed check zeroes task. Weighted Pass is weighted rubric points earned times citation factor, with any must-pass failure zeroing task (approximately 40% of checks must-pass). LLM-judged, separate from real professional correctness. This exact metric is kept separate from generic legacy Tax Agent Bench rows which mix quantity labels. Default model effortmax; individual suite overrides possible, run date unpublished. https://www.vals.ai/benchmarks/tax_agent_bench |
| Vals Science Index · Vals AI | 48.5%unknown effort | All 1 recorded result & sources48.5% · raw 48.54 % Headline · unknown effort · Independent evaluator Source/record date: 2026-10-17 Vals Science Index v1, published 16 October 2026. Equal weighting of BioMysteryBench, MysteryMechanism and Terminal-Bench-Science; aggregate copied directly, not computed from rounded components. Exact model label Wonder Full. Index-level effort/provider/run date not stated; do not infer from product defaults or other suites. Source auxiliary columns retained verbatim: cost/test $10.15, input/output token rates $4 / $20, input/output tokens 5.13B / 45.14M, duration 1h34m. These are evaluation context, not our public API pricing or subscription coefficients. https://www.vals.ai/benchmarks/science_index |
Read how we select and source scores or the comparison guide.