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Mistral Medium 3.5

Released 28 Apr 2026$1.5 input, $7.5 output per million tokens256K context128BModified MITAlso written as mistral-medium-3.5, mistral-medium-latest, Mistral-Medium-3.5-128B

2 results on 2 of 13 boards, latest measured Sep 2026. Compare with other models

Clinical Benchmarks Index23.7Rank 89 of 1492 of 10 boardsAverage × multiplier 41.1 × 0.577 = 23.7This site’s own calculation. Working How it is computed

Results

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

Documentation and coding

  1. MedScribe (Vals AI)
    model ID mistralai/mistral-medium-3.5; temperature=1; top_p=0.95; max_output_tokens=30000; reasoning_effort=high
    67.73
    Rank 95 of 105Leader Claude Opus 5.5 91.43
    Official leaderboard
    Measured Sep 2026
  2. MedCode (Vals AI)
    model ID mistralai/mistral-medium-3.5; reasoning_effort=high; temperature=1; top_p=0.95; max_output_tokens=30000
    33.75
    Rank 81 of 103Leader Claude Opus 5 63.57
    Official leaderboard
    Measured Sep 2026

Index working

The Clinical Benchmarks Index is this site's own calculation: a weighted average of the board scores times a multiplier for the boards behind it. How it is computed

  • MedScribe (Vals AI)67.7367.7×0.25, near its ceilingNear its ceiling: leader 91.4, weight 0.25model ID mistralai/mistral-medium-3.5; temperature=1; top_p=0.95; max_output_tokens=30000; reasoning_effort=high
  • MedCode (Vals AI)33.7533.8×0.911model ID mistralai/mistral-medium-3.5; reasoning_effort=high; temperature=1; top_p=0.95; max_output_tokens=30000
Weighted average of 2 boards
41.1
Multiplier for 2 of 10 boards
× 0.577
Index
41.1 × 0.577 = 23.7

Score: the result on the board’s own 0 to 100 scale. Dot: this model; tick: the board’s leader. Weight: how much the board counts in the weighted average; bold where the board is near its ceiling and counts for less. 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. 95MedScribe (Vals AI) mistral-medium-3.5 67.73
    Printed as 67.73%Official leaderboard, measured Sep 2026Configuration: model ID mistralai/mistral-medium-3.5; temperature=1; top_p=0.95; max_output_tokens=30000; reasoning_effort=high
    Vals AI MedScribe leaderboard official leaderboard, Vals AI, 3 Sep 2026. Vals AI MedScribe leaderboard, View: All Models, Task: Overall, row 95 of 105 (Mistral Medium 3.5), Accuracy column; Updated 9/29/2026. Rendered BenchmarkView table; configuration from embedded astro-island BenchmarkView props, benchmarkView.default.tasks.overall["mistralai/mistral-medium-3.5"].
    95 | Mistral Medium 3.5 | 67.73%±2.01 | $1.5/$7.5 | 104.05s
    Every result from this document
  2. 81MedCode (Vals AI) mistral-medium-3.5 33.75
    Printed as 33.75%Official leaderboard, measured Sep 2026Configuration: model ID mistralai/mistral-medium-3.5; reasoning_effort=high; temperature=1; top_p=0.95; max_output_tokens=30000
    Vals AI MedCode leaderboard official leaderboard, Vals AI, 29 Sep 2026. MedCode leaderboard, Overall task, All Models expanded, rank 81 of 103; Accuracy column; board Updated 9/29/2026. Rendered table row; configuration from embedded BenchmarkView props benchmarkView.default.tasks.overall["mistralai/mistral-medium-3.5"].
    81 | Mistral Medium 3.5 | 33.75%±1.15 | $1.5/$7.5 | 34.88s
    Every result from this document