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DeepSeek V4.1 Flash 1017

Released 17 Oct 20261M contextmitAlso written as DeepSeek-V4.1-Flash-1017, deepseek/deepseek-v4.1-flash-1017, DeepSeek: DeepSeek V4.1 Flash 1017, DS-V4.1-Flash-1017

2 results on 2 of 14 boards, latest measured Nov 2026. Compare with other models

Clinical Benchmarks Index48.2Rank 31 of 1282 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 DeepSeek V4.1 Flash 1017 at rank 31. 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. 48.2DeepSeek V4.1 Flash 1017

Board by board

DeepSeek V4.1 Flash 1017 against the top 10 on each board it has a result on, on that board's own scale. Its own column is in colour.

Bedside Benchrank 12 of 15

  1. 94.6Claude Opus 5
  2. 94.3Muse Spark Open
  3. 93.4GPT-6 Astra
  4. 92.7Gemini 4 Argon
  5. 91.1GPT-5.6 Sol
  6. 89.7Kimi K3
  7. 89.1Ember-1
  8. 88.1GPT-6 Sol
  9. 87.2GPT-6 Luna
  10. 85.65DeepSeek V4.1 Flash (1017)

15 modelsFull board

MLCR-AArank 10 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.

Clinical reasoning and knowledge

  1. Bedside Bench
    Score (avg@3)
    85.65
    Rank 12 of 15 here, 16 models on the boardLeader Claude Opus 5 94.6
    Official leaderboard
    Measured Oct 2026

Documentation and coding

  1. MLCR-AA
    overall pass rate, Max
    26.7
    Rank 10 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

  • Bedside Bench85.6585.7+39.2 easy board46.50.25 weight, near its ceilingNear its ceiling: leader 94.6, weight 0.25Score (avg@3)
  • MLCR-AA26.726.7−26.5 hard board53.20.6 weightoverall pass rate, Max
Adjusted average of 2 boards, by weight
51.2
Field average, counts for 42.9% with 2 of 12 boards
44.2
Index
= 48.2

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 2 results
  1. 12Bedside Bench Score 85.65
    Printed as 85.65Official leaderboard, measured Oct 2026Configuration: Score (avg@3)
    Bedside Bench on the Fireworks Specialized Intelligence Index official leaderboard, Fireworks AI, 22 Oct 2026. https://fireworks.ai/specialized-intelligence-index/benchmarks/healthcare/bedside-bench (feed: benchmarks[id=healthcare/bedside-bench].results)
    DeepSeek V4.1 Flash (1017) 85.65 (Score (avg@3)), rank 13
    Every result from this document
  2. 10MLCR-AA overall pass rate 26.7
    Printed as 26.7%Independent run, measured Nov 2026Configuration: overall pass rate, Max
    MLCR-AA (Medical Long Context Reasoning), Artificial Analysis official leaderboard, Artificial Analysis, 5 Nov 2026. artificialanalysis.ai/evaluations/mlcr-aa, Score chart (mlcrAaOverallPassRate)
    DeepSeek V4.1 Flash 1017 (Max): 26.7% (Score: share of responses judged complete with no claim contradicting the record)
    Every result from this document

Other DeepSeek models: DeepSeek R1, DeepSeek V4.1 Flash, DeepSeek V4 Flash, DeepSeek V4 Flash 0731, DeepSeek V4 Pro