Clinical Benchmarks

MiniMax M3

Released 1 Jun 2026$0.3 input, $1.2 output per million tokens1M context~428B total / ~23B activeminimax-community

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

Clinical Benchmarks Index31.8Rank 49 of 1492 of 10 boardsAverage × multiplier 55.1 × 0.577 = 31.8This 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. 87.25
    Rank 15 of 105Leader Claude Opus 5.5 91.43
    Official leaderboard
    Measured Sep 2026
  2. MedCode (Vals AI)
    model ID minimax/MiniMax-M3; temperature=1; top_p=0.95; max_output_tokens=30000
    46.29
    Rank 34 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)87.2587.3×0.25, near its ceilingNear its ceiling: leader 91.4, weight 0.25
  • MedCode (Vals AI)46.2946.3×0.911model ID minimax/MiniMax-M3; temperature=1; top_p=0.95; max_output_tokens=30000
Weighted average of 2 boards
55.1
Multiplier for 2 of 10 boards
× 0.577
Index
55.1 × 0.577 = 31.8

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. 15MedScribe (Vals AI) 87.25
    Printed as 87.25%Official leaderboard, measured Sep 2026
    Vals AI MedScribe leaderboard official leaderboard, Vals AI, 3 Sep 2026. Vals AI MedScribe leaderboard, View: All Models, Task: Overall, row 15 of 105 (MiniMax-M3), Accuracy column; Updated 9/29/2026. Rendered BenchmarkView table; configuration from embedded astro-island BenchmarkView props, benchmarkView.default.tasks.overall["minimax/MiniMax-M3"].
    15 | MiniMax-M3 | 87.25%±1.96 | $0.6/$2.4 | 2m04s
    Every result from this document
  2. 34MedCode (Vals AI) MiniMax-M3 46.29
    Printed as 46.29%Official leaderboard, measured Sep 2026Configuration: model ID minimax/MiniMax-M3; 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 34 of 103; Accuracy column; board Updated 9/29/2026. Rendered table row; configuration from embedded BenchmarkView props benchmarkView.default.tasks.overall["minimax/MiniMax-M3"].
    34 | MiniMax-M3 | 46.29%±2.10 | $0.6/$2.4 | 63.12s
    Every result from this document

Other MiniMax models: MiniMax-M2.1, MiniMax-M2.7