Clinical Benchmarks
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Kimi K3.1 Pro

Released 23 Oct 20261M contextKimi K3.1 Pro License (open weights)Also written as moonshotai/kimi-k3.1-pro, Kimi K3.1 Pro Highspeed, kimi-k3.1-pro-highspeed, kimi-k3.1-pro, Kimi K3.1 Pro

1 result on 1 of 14 boards, latest measured Nov 2026. Compare with other models

Clinical Benchmarks Index52.4Rank 9 of 1281 of 12 boardsThis site’s own calculation. Show the working How it is computed

On the Clinical Benchmarks Index

The top 15 on the index. Select a column to open that model.

  1. 63.2Claude Sonnet 5.5
  2. 62.8Claude Opus 5.5
  3. 56.8Claude Opus 5
  4. 56.8Claude Fable 5.1
  5. 56.1GPT-6 Astra
  6. 55.5Claude Haiku 5.5
  7. 53.9GPT-6.1 Sol
  8. 52.7Muse Spark 1.1
  9. 52.4Kimi K3.1 Pro
  10. 51.8Gemini 4 Argon
  11. 51.7GPT-5.5
  12. 51.7GPT-6.1 Terra
  13. 51.5Muse Wonder
  14. 51.4GPT-5.6 Sol
  15. 50.8Claude Fable 5

Board by board

Kimi K3.1 Pro against the top 10 on each board it has a result on, on that board's own scale. Its own column is in colour.

MLCR-AArank 3 of 27

  1. 41.7Claude Sonnet 5.5 (Max, Default Fallback)
  2. 41.7GPT-6 Astra (Max)
  3. 38.3GPT-6.1 Sol (Max)
  4. 38.3Kimi K3.1 Pro
  5. 35.0Claude Haiku 5.5 (Max)
  6. 33.9GPT-6 Sol (Max)
  7. 31.7GPT-5.5 Instant (June 2026)
  8. 30.6GPT-6.1 Terra (Max)
  9. 27.8Claude Opus 5.5
  10. 26.7DeepSeek V4.1 Flash 1017 (Max)

27 modelsFull board

Every result, with its source

Each line sits on its own board's scale. Tall tick: the board leader.

Documentation and coding

  1. MLCR-AA
    overall pass rate
    38.3
    Rank 3 of 27Leader Claude Sonnet 5.5 (Max, Default Fallback) 41.7
    Independent run
    Measured Nov 2026

Index working

Show the working: each board’s result, how hard the board runs and the field average

The Clinical Benchmarks Index is this site's own calculation from 12 boards. How it is computed

  • MLCR-AA38.338.3−26.5 hard board64.80.6 weightoverall pass rate
Adjusted result, one board
64.8
Field average, counts for 60% with 1 of 12 boards
44.2
Index
= 52.4

Score: the result on the board’s own 0 to 100 scale (dot; tick: the board’s leader). Board runs: how far the board’s scores sit above or below the same models’ scores on the other boards. Adjusted: the score minus that offset. The index is the adjusted average with the field average mixed in, more of it the fewer boards a model has. Each result links to its quote and page; the line under it is the setting it was measured with.

Sources

The quote, page and document for each of the 1 result
  1. 3MLCR-AA overall pass rate 38.3
    Printed as 38.3%Independent run, measured Nov 2026Configuration: overall pass rate
    MLCR-AA (Medical Long Context Reasoning), Artificial Analysis official leaderboard, Artificial Analysis, 5 Nov 2026. artificialanalysis.ai/evaluations/mlcr-aa, Score chart (mlcrAaOverallPassRate)
    Kimi K3.1 Pro: 38.3% (Score: share of responses judged complete with no claim contradicting the record)
    Every result from this document

Other Moonshot AI models: Kimi K2.5, Kimi K2.6, Kimi K3