Clinical Benchmarks
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Beam 1.0

Also written as Beam 1.0 501B-A23B, reflection-beam

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

Clinical Benchmarks Index44.2Rank 65 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, then Beam 1.0 at rank 65. 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. 44.2Beam 1.0

Board by board

Beam 1.0 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 17 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. 17.8Beam 1.0

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
    17.8
    Rank 17 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-AA17.817.8−26.5 hard board44.30.6 weightoverall pass rate
Adjusted result, one board
44.3
Field average, counts for 60% with 1 of 12 boards
44.2
Index
= 44.2

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. 17MLCR-AA overall pass rate 17.8
    Printed as 17.8%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)
    Beam 1.0: 17.8% (Score: share of responses judged complete with no claim contradicting the record)
    Every result from this document