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Legal Research Bench

Independent testVals AI · updated Oct 7, 2026

What it measures

Answering questions of U.S. law through case and statute research, with citations that have to hold up.

How to read it

Scores sit near 50% at best. Useful for ranking models, not as evidence that any of them can work unsupervised.

Open at Vals AI
Best
55.3%
Claude Fable 5.1
Median
41.4%
GPT-5.6 Terra

Results

26 of 41 tracked models have a result.

Filter in explorer
  1. 1
    Claude Fable 5.1

    Anthropic · Max effort

    55.3%
  2. 1
    Muse Spark 1.3

    Meta · Max effort

    55.3%
  3. 3
    Gemini 4 ArgonLimited

    Google DeepMind · High effort

    54.8%
  4. 4
    Claude Opus 5.5

    Anthropic · Max effort

    50.5%
  5. 5
    GLM-5.3Open

    Z.ai · Max effort

    49.0%
  6. 6
    Claude Sonnet 5.5

    Anthropic · Max effort

    48.1%
  7. 7
    Qwen3.8-Max

    Alibaba

    47.6%
  8. 8
    Grok 4.7

    SpaceXAI · xHigh effort

    47.1%
  9. 8
    MiMo-V2.6-ProOpen

    Xiaomi

    47.1%
  10. 10
    Kimi K3Open

    Moonshot AI · Max effort

    46.2%
  11. 11
    Hy4 previewOpen

    Tencent

    45.2%
  12. 12
    Claude Haiku 5.5

    Anthropic · Max effort

    43.3%
  13. 13
    DeepSeek V4.1 FlashOpen

    DeepSeek · High effort

    41.4%
  14. 13
    GPT-5.6 Terra

    OpenAI · Max effort

    41.4%
  15. 15
    DeepSeek V4 ProOpen

    DeepSeek · Max effort

    40.9%
  16. 16
    Step 5 Preview

    StepFun

    40.4%
  17. 17
    GPT-6 Astra

    OpenAI · Max effort

    39.4%
  18. 18
    Gemini 3.8 Flash

    Google DeepMind · High effort

    38.9%
  19. 19
    GPT-6.1 Sol

    OpenAI · Max effort

    38.5%
  20. 20
    MiMo-V2.6-FlashOpen

    Xiaomi

    38.0%
  21. 21
    Mistral Large 4

    Mistral AI · High effort

    31.7%
  22. 22
    GPT-6 Luna

    OpenAI · Max effort

    30.3%
  23. 23
    MiniMax-M3Open

    MiniMax

    29.8%
  24. 24
    TM
    InklingOpen

    Thinking Machines Lab

    28.4%
  25. 25
    TM
    Inkling-SmallOpen

    Thinking Machines Lab

    25.5%
  26. 26
    Gemini 3.1 Pro

    Google DeepMind · High effort

    20.7%
15 tracked models without a result

Command A+, Gemini 3.5 Flash-Lite, Gemma 4 31B, GLM-5.3-Flash, gpt-oss-120b, Hy3, Kimi K2.7 Code, MAI-Thinking-1, Mistral Medium 3.5, Mistral Small 4, Muse Glimmer 30B, Nemotron 3 Ultra, Nova 2 Lite, Qwen3.8-27B, Qwen3.8-Flash.

Missing means the evaluator has not published a run, not that the model would score poorly.

Model Index

An independent snapshot of frontier SI models and how they perform on third-party benchmarks.

Data as of Oct 8, 2026

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Sources

Benchmark results come from Artificial Analysis, Arena, Vals AI and ARC Prize. Specifications and prices come from each lab's own documentation.

Not affiliated with any lab or evaluator. Names and logos are trademarks of their respective owners and are used only to identify them. Scores change often — check the linked source before making a decision that depends on one.

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