Examenos

Official vendor benches · independent evaluators · OpenRouter pricing

Model profilesv d6c93c5

Muse Wonder Full

Explore Muse Wonder Full from Meta: published specifications, source-linked vendor benchmarks, independent evaluator coverage and recorded pricing when available.

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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.

Official / vendor headline scores; expand evidence for every record
Benchmark / evaluatorHeadline scoreEvidence
Personal Superintelligence Index (Meta)59.1%max effort
All 1 recorded result & sources

59.1% · 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 Source checked 12 October 2026; evaluation date unpublished.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 & sources

13.1% · 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 Source checked 12 October 2026; evaluation date unpublished.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 & sources

59.1% · 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 Source checked 12 October 2026; evaluation date unpublished.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 Professional62.3%max effort
All 1 recorded result & sources

62.3% · 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 & sources

45.4% · 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 & sources

33.2% · 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
JobBench75.3%max effort
All 1 recorded result & sources

75.3% · 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 & sources

78.4% · 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 & sources

39.4% · 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 & sources

85.5% · 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 & sources

57.1% · 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 v1.179%max effort
All 1 recorded result & sources

79% · 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-Marathon57.5%xhigh effort
All 1 recorded result & sources

57.5% · 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 & sources

59% · 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 & sources

56 · 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 & sources

54.2% · 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 & sources

93.3% · 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 & sources

96.9% · 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 & sources

98.7% · 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 & sources

2.2% · 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 & sources

10.7% · 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
CyberGym88.4%unknown effort
All 1 recorded result & sources

88.4% · 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 & sources

58.9% · 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 & sources

21 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 & sources

92 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 & sources

0.8% · 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 & sources

0.8% · 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 & sources

1.1% · 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 & sources

2.3% · 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 & sources

9% · 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 & sources

8% · 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 & sources

59.6% · 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 & sources

66.5% · 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 & sources

55.9% · 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 & sources

60.7% · 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 & sources

89% · 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 & sources

95.6% · 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 & sources

100% · 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 & sources

79.4% · 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 & sources

98.7% · 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 & sources

98.7% · 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 & sources

98.2% · 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 & sources

100% · 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 & sources

100% · 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 & sources

99.8% · 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 & sources

87.3% · 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 & sources

0% · 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.

Independent evaluator headline scores; expand evidence for every record
Benchmark / evaluatorHeadline scoreEvidence
Vals Index v2.2 · Vals AI66.787%max effort
All 1 recorded result & sources

66.787% · 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 AI3558.574 smax effort
All 1 recorded result & sources

3558.574 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 AI85.996%max effort
All 1 recorded result & sources

85.996% · 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 AI67.575%max effort
All 1 recorded result & sources

67.575% · 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 AI74.998%max effort
All 1 recorded result & sources

74.998% · 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 AI61.652%max effort
All 1 recorded result & sources

61.652% · 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 AI53.365%max effort
All 1 recorded result & sources

53.365% · 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 AI23.333%max effort
All 1 recorded result & sources

23.333% · 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 AI58.081%max effort
All 1 recorded result & sources

58.081% · 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 AI42.997%max effort
All 1 recorded result & sources

42.997% · 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 AI67.575%max effort
All 1 recorded result & sources

67.575% · 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 AI850.298 smax effort
All 1 recorded result & sources

850.298 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 AI54.880%max effort
All 1 recorded result & sources

54.880% · 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 AI76.051%max effort
All 1 recorded result & sources

76.051% · 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 AI84.886%max effort
All 1 recorded result & sources

84.886% · 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 AI67.361%max effort
All 1 recorded result & sources

67.361% · 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 AI55.011%max effort
All 1 recorded result & sources

55.011% · 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 AI44.181%max effort
All 1 recorded result & sources

44.181% · 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 AI74.737%max effort
All 1 recorded result & sources

74.737% · 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 AI84.794%max effort
All 1 recorded result & sources

84.794% · 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 AI80.595%max effort
All 1 recorded result & sources

80.595% · 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 AI40.557%max effort
All 1 recorded result & sources

40.557% · 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 AI74.998%max effort
All 1 recorded result & sources

74.998% · 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 AI1684.504 smax effort
All 1 recorded result & sources

1684.504 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 AI79.861%max effort
All 1 recorded result & sources

79.861% · 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 AI70.032%max effort
All 1 recorded result & sources

70.032% · 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 AI63.496%max effort
All 1 recorded result & sources

63.496% · 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 AI65.743%max effort
All 1 recorded result & sources

65.743% · 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 AI83.423%max effort
All 1 recorded result & sources

83.423% · 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 AI74.631%max effort
All 1 recorded result & sources

74.631% · 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 AI80.197%max effort
All 1 recorded result & sources

80.197% · 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 AI86.553%max effort
All 1 recorded result & sources

86.553% · 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 AI70.941%max effort
All 1 recorded result & sources

70.941% · 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 AI70.179%max effort
All 1 recorded result & sources

70.179% · 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 AI56.814%max effort
All 1 recorded result & sources

56.814% · 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 AI71.220%max effort
All 1 recorded result & sources

71.220% · 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 AI60.265%max effort
All 1 recorded result & sources

60.265% · 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 AI87.451%max effort
All 1 recorded result & sources

87.451% · 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 AI79.396%max effort
All 1 recorded result & sources

79.396% · 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 AI81.012%max effort
All 1 recorded result & sources

81.012% · 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 AI68.250%max effort
All 1 recorded result & sources

68.250% · 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 AI87.495%max effort
All 1 recorded result & sources

87.495% · 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 AI72.900%max effort
All 1 recorded result & sources

72.900% · 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 AI89.005%max effort
All 1 recorded result & sources

89.005% · 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 AI84.100%max effort
All 1 recorded result & sources

84.100% · 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 AI71.617%max effort
All 1 recorded result & sources

71.617% · 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 AI70.265%max effort
All 1 recorded result & sources

70.265% · 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 AI61.835%max effort
All 1 recorded result & sources

61.835% · 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 AI88.417%max effort
All 1 recorded result & sources

88.417% · 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 AI79.753%max effort
All 1 recorded result & sources

79.753% · 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 AI62.790%max effort
All 1 recorded result & sources

62.790% · 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 AI15501.972 smax effort
All 1 recorded result & sources

15501.972 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 AI52.721%max effort
All 1 recorded result & sources

52.721% · 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 AI93.000%max effort
All 1 recorded result & sources

93.000% · 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 AI3.238 points/5max effort
All 1 recorded result & sources

3.238 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 AI23.333%max effort
All 1 recorded result & sources

23.333% · 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 AI2649.375 smax effort
All 1 recorded result & sources

2649.375 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 AI40.000%max effort
All 1 recorded result & sources

40.000% · 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 AI10.000%max effort
All 1 recorded result & sources

10.000% · 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 AI30.000%max effort
All 1 recorded result & sources

30.000% · 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 AI30.000%max effort
All 1 recorded result & sources

30.000% · 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 AI20.000%max effort
All 1 recorded result & sources

20.000% · 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 AI20.000%max effort
All 1 recorded result & sources

20.000% · 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 AI30.000%max effort
All 1 recorded result & sources

30.000% · 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 AI20.000%max effort
All 1 recorded result & sources

20.000% · 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 AI0.000%max effort
All 1 recorded result & sources

0.000% · 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 AI0.000%max effort
All 1 recorded result & sources

0.000% · 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 AI60.000%max effort
All 1 recorded result & sources

60.000% · 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 AI20.000%max effort
All 1 recorded result & sources

20.000% · 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 AI40.000%max effort
All 1 recorded result & sources

40.000% · 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 AI40.000%max effort
All 1 recorded result & sources

40.000% · 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 AI20.000%max effort
All 1 recorded result & sources

20.000% · 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 AI30.000%max effort
All 1 recorded result & sources

30.000% · 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 AI30.000%max effort
All 1 recorded result & sources

30.000% · 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 AI20.000%max effort
All 1 recorded result & sources

20.000% · 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 AI0.000%max effort
All 1 recorded result & sources

0.000% · 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 AI40.000%max effort
All 1 recorded result & sources

40.000% · 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 AI20.000%max effort
All 1 recorded result & sources

20.000% · 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 AI0.000%max effort
All 1 recorded result & sources

0.000% · 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 AI40.000%max effort
All 1 recorded result & sources

40.000% · 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 AI0.000%max effort
All 1 recorded result & sources

0.000% · 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 AI96.126%max effort
All 1 recorded result & sources

96.126% · 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 AI96.920%max effort
All 1 recorded result & sources

96.920% · 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 AI96.595%max effort
All 1 recorded result & sources

96.595% · 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 AI97.575%max effort
All 1 recorded result & sources

97.575% · 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 AI94.983%max effort
All 1 recorded result & sources

94.983% · 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 AI96.078%max effort
All 1 recorded result & sources

96.078% · 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 AI94.692%max effort
All 1 recorded result & sources

94.692% · 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 AI97.588%max effort
All 1 recorded result & sources

97.588% · 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 AI98.057%max effort
All 1 recorded result & sources

98.057% · 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 AI97.099%max effort
All 1 recorded result & sources

97.099% · 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 AI93.446%max effort
All 1 recorded result & sources

93.446% · 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 AI98.185%max effort
All 1 recorded result & sources

98.185% · 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 AI93.190%max effort
All 1 recorded result & sources

93.190% · 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 AI93.878%max effort
All 1 recorded result & sources

93.878% · 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 AI96.644%max effort
All 1 recorded result & sources

96.644% · 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 AI95.455%max effort
All 1 recorded result & sources

95.455% · 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 AI95.956%max effort
All 1 recorded result & sources

95.956% · 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 AI97.865%max effort
All 1 recorded result & sources

97.865% · 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 AI97.211%max effort
All 1 recorded result & sources

97.211% · 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 AI95.113%max effort
All 1 recorded result & sources

95.113% · 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 AI98.397%max effort
All 1 recorded result & sources

98.397% · 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 AI96.129%max effort
All 1 recorded result & sources

96.129% · 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 AI92.642%max effort
All 1 recorded result & sources

92.642% · 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 AI96.565%max effort
All 1 recorded result & sources

96.565% · 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 AI96.633%max effort
All 1 recorded result & sources

96.633% · 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 AI1084.296 smax effort
All 1 recorded result & sources

1084.296 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 AI46.512%max effort
All 1 recorded result & sources

46.512% · 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 AI50.000%max effort
All 1 recorded result & sources

50.000% · 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 AI56.614%max effort
All 1 recorded result & sources

56.614% · 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 AI46.667%max effort
All 1 recorded result & sources

46.667% · 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 AI30.000%max effort
All 1 recorded result & sources

30.000% · 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 AI26.667%max effort
All 1 recorded result & sources

26.667% · 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 AI74.764%max effort
All 1 recorded result & sources

74.764% · 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 AI68.105%max effort
All 1 recorded result & sources

68.105% · 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 AI78.312%max effort
All 1 recorded result & sources

78.312% · 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 AI76.278%max effort
All 1 recorded result & sources

76.278% · 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 AI76.552%max effort
All 1 recorded result & sources

76.552% · 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 AI76.097%max effort
All 1 recorded result & sources

76.097% · 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 AI85.996%max effort
All 2 recorded results & sources

85.996% · 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-code

86.000% · 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 AI648.336 smax effort
All 1 recorded result & sources

648.336 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 Analysis1857max effort
All 1 recorded result & sources

1857 · 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 Analysis55.8max effort
All 1 recorded result & sources

55.8 · 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 Analysis1857.1max effort
All 1 recorded result & sources

1857.1 · 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 Analysis30.2max effort
All 1 recorded result & sources

30.2 · 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 Analysis43.2%max effort
All 1 recorded result & sources

43.2% · 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 Analysis23%max effort
All 1 recorded result & sources

23% · 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 Analysis57.1%max effort
All 1 recorded result & sources

57.1% · 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 Analysis62.6%max effort
All 1 recorded result & sources

62.6% · 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 Analysis83.7%max effort
All 1 recorded result & sources

83.7% · 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 Analysis53.6%max effort
All 1 recorded result & sources

53.6% · 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 Analysis32.6%max effort
All 1 recorded result & sources

32.6% · 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 Analysis32.9%max effort
All 1 recorded result & sources

32.9% · 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 Analysis71.3%max effort
All 1 recorded result & sources

71.3% · 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 Analysis54.2max effort
All 1 recorded result & sources

54.2 · 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 Analysis57.8max effort
All 1 recorded result & sources

57.8 · 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 Analysis54.7max effort
All 1 recorded result & sources

54.7 · 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 Analysis57max effort
All 1 recorded result & sources

57 · 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 Analysis60.7max effort
All 1 recorded result & sources

60.7 · 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 Analysis1729.3max effort
All 1 recorded result & sources

1729.3 · 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 Analysis61.3%max effort
All 1 recorded result & sources

61.3% · 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 Analysis2116.3max effort
All 1 recorded result & sources

2116.3 · 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 Analysis1524.1max effort
All 1 recorded result & sources

1524.1 · 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 AI64.570%max effort
All 1 recorded result & sources

64.570% · 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 AI61%max effort
All 1 recorded result & sources

61% · 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 AI73.6%max effort
All 1 recorded result & sources

73.6% · 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 AI71.9%max effort
All 1 recorded result & sources

71.9% · 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 AI59.1%max effort
All 1 recorded result & sources

59.1% · 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 AI53.4%max effort
All 1 recorded result & sources

53.4% · 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 AI35.1%max effort
All 1 recorded result & sources

35.1% · 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 AI94%max effort
All 1 recorded result & sources

94% · 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 AI73.8%max effort
All 1 recorded result & sources

73.8% · 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 AI43%max effort
All 1 recorded result & sources

43% · 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 AI73.3%max effort
All 1 recorded result & sources

73.3% · 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 AI21.7%max effort
All 1 recorded result & sources

21.7% · 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 AI79.8%max effort
All 1 recorded result & sources

79.8% · 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 AI0.5%max effort
All 1 recorded result & sources

0.5% · 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 AI58.1%max effort
All 1 recorded result & sources

58.1% · 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 Bench42 fixesmax effort
All 4 recorded results & sources

42 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=featured

44 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=featured

41.5 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=featured

44 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 AI37.1%max effort
All 1 recorded result & sources

37.1% · 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 Analysis13.1%max effort
All 1 recorded result & sources

13.1% · 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 Analysis95.5%max effort
All 1 recorded result & sources

95.5% · 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 Analysis0.62 hallucinations/taskmax effort
All 1 recorded result & sources

0.62 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 AI42.997%max effort
All 1 recorded result & sources

42.997% · 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 AI75.001%max effort
All 1 recorded result & sources

75.001% · 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 AI48.5%unknown effort
All 1 recorded result & sources

48.5% · 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.