Clinical Benchmarks
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Qwen 3.7 Max

$1.65 input, $4.95 output per million tokens1M contextproprietaryAlso written as qwen3.7-max, alibaba/qwen3.7-max

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

Clinical Benchmarks Index27.4Rank 73 of 1492 of 10 boardsAverage × multiplier 47.5 × 0.577 = 27.4This 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 alibaba/qwen3.7-max; temperature=1; max_output_tokens=30000
    79.40
    Rank 59 of 105Leader Claude Opus 5.5 91.43
    Official leaderboard
    Measured Sep 2026
  2. MedCode (Vals AI)
    model ID alibaba/qwen3.7-max; temperature=1; max_output_tokens=30000
    38.75
    Rank 66 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)79.4079.4×0.25, near its ceilingNear its ceiling: leader 91.4, weight 0.25model ID alibaba/qwen3.7-max; temperature=1; max_output_tokens=30000
  • MedCode (Vals AI)38.7538.8×0.911model ID alibaba/qwen3.7-max; temperature=1; max_output_tokens=30000
Weighted average of 2 boards
47.5
Multiplier for 2 of 10 boards
× 0.577
Index
47.5 × 0.577 = 27.4

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. 59MedScribe (Vals AI) qwen3.7-max 79.40
    Printed as 79.40%Official leaderboard, measured Sep 2026Configuration: model ID alibaba/qwen3.7-max; temperature=1; max_output_tokens=30000
    Vals AI MedScribe leaderboard official leaderboard, Vals AI, 3 Sep 2026. Vals AI MedScribe leaderboard, View: All Models, Task: Overall, row 59 of 105 (Qwen 3.7 Max), Accuracy column; Updated 9/29/2026. Rendered BenchmarkView table; configuration from embedded astro-island BenchmarkView props, benchmarkView.default.tasks.overall["alibaba/qwen3.7-max"].
    59 | Qwen 3.7 Max | 79.40%±1.91 | $2.5/$7.5 | 108.05s
    Every result from this document
  2. 66MedCode (Vals AI) qwen3.7-max 38.75
    Printed as 38.75%Official leaderboard, measured Sep 2026Configuration: model ID alibaba/qwen3.7-max; temperature=1; max_output_tokens=30000
    Vals AI MedCode leaderboard official leaderboard, Vals AI, 29 Sep 2026. MedCode leaderboard, Overall task, All Models expanded, rank 66 of 103; Accuracy column; board Updated 9/29/2026. Rendered table row; configuration from embedded BenchmarkView props benchmarkView.default.tasks.overall["alibaba/qwen3.7-max"].
    66 | Qwen 3.7 Max | 38.75%±2.20 | $2.5/$7.5 | 28.75s
    Every result from this document

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