Clinical Benchmarks

MiniMax-M2.1

$0.3 input, $1.2 output per million tokens230B A10BopenAlso written as minimax/MiniMax-M2.1Compare with other models

Clinical Benchmarks Index
49.2rank 67 of 148; 60.3 × 0.816 = 49.2, from 2 of 10 boards
Boards
2 of 13
Results
2
Latest measurement
Sep 2026

Results

Each line is placed on its own board. Dark tick: the board leader.

Documentation and coding

  1. MedScribe (Vals AI)
    model ID minimax/MiniMax-M2.1; temperature=1; top_p=0.95; max_output_tokens=30000
    80.78
    Rank 52 of 105Leader Claude Opus 5.5 91.43
    Official leaderboard
    Measured Sep 2026
  2. MedCode (Vals AI)
    model ID minimax/MiniMax-M2.1; temperature=1; top_p=0.95; max_output_tokens=30000
    34.08
    Rank 78 of 103Leader Claude Opus 5 63.57
    Official leaderboard
    Measured Sep 2026

Sources

Open a line for the quote and page.

  1. 52MedScribe (Vals AI) model ID minimax/MiniMax-M2.1; temperature=1; top_p=0.95; max_output_tokens=300… 80.78
    Printed as 80.78%Official leaderboard, measured Sep 2026Configuration: model ID minimax/MiniMax-M2.1; temperature=1; top_p=0.95; 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 52 of 105 (MiniMax-M2.1), Accuracy column; Updated 9/29/2026. Rendered BenchmarkView table; configuration from embedded astro-island BenchmarkView props, benchmarkView.default.tasks.overall["minimax/MiniMax-M2.1"].
    52 | MiniMax-M2.1 | 80.78%±1.83 | $0.3/$1.2 | 53.16s
    Every result from this document
  2. 78MedCode (Vals AI) model ID minimax/MiniMax-M2.1; temperature=1; top_p=0.95; max_output_tokens=300… 34.08
    Printed as 34.08%Official leaderboard, measured Sep 2026Configuration: model ID minimax/MiniMax-M2.1; 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 78 of 103; Accuracy column; board Updated 9/29/2026. Rendered table row; configuration from embedded BenchmarkView props benchmarkView.default.tasks.overall["minimax/MiniMax-M2.1"].
    78 | MiniMax-M2.1 | 34.08%±1.94 | $0.3/$1.2 | 19.55s
    Every result from this document

Other MiniMax models: MiniMax-M2.7, MiniMax M3