Model comparison

MiniMax-M2 vs Mistral Medium 3.1

MiniMax-M2 is the stronger model overall, scoring 37.4 to 31.9 on the Noometry Index.

Last verified . 1 shared benchmarks.

MiniMax-M2 MiniMax

37.4

Rank #204 Confirmed

Mistral Medium 3.1 Mistral AI

31.9

Rank #266 Reported

Summary

  • They share 1 benchmark with published results for both. MiniMax-M2 scores higher in 1 category and Mistral Medium 3.1 in 1 category; 2 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where MiniMax-M2 leads 19.4 to 10.6.
  • The biggest single-benchmark swing is NYT Connections (extended): 14.8% for MiniMax-M2 and 6.5% for Mistral Medium 3.1.
  • MiniMax-M2 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.40 / $2 for Mistral Medium 3.1.
  • MiniMax-M2 accepts more context: 205K tokens versus 131K.
  • MiniMax-M2 has downloadable open weights; the other is API-only.

Side by side

MiniMax-M2 and Mistral Medium 3.1 specifications
MiniMax-M2Mistral Medium 3.1
ProviderMiniMaxMistral AI
Noometry Index37.431.9
Released2025-10-27—
WeightsOpenProprietary
Context window205K131K
Max output131K105K
Input $ / M tokens$0.30$0.40
Output $ / M tokens$1.20$2
Results tracked213

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Category by category

Coding Not comparable

MiniMax-M2: 39.3 (#159), Mistral Medium 3.1: —

Coding benchmarks
BenchmarkMiniMax-M2Mistral Medium 3.1
SWE-bench Verified (bash only)61%—
LMArena WebDev1297—
LMArena Coding1370—

Agentic & Tool Use Not comparable

MiniMax-M2: 25.1 (#109), Mistral Medium 3.1: —

Agentic & Tool Use benchmarks
BenchmarkMiniMax-M2Mistral Medium 3.1
Terminal-Bench30%—
Vending-Bench 2160.6—

Reasoning MiniMax-M2 leads

MiniMax-M2: 19.4 (#258), Mistral Medium 3.1: 10.6 (#341)

Reasoning benchmarks
BenchmarkMiniMax-M2Mistral Medium 3.1
NYT Connections (extended)14.8%6.5%
Kagi LLM Benchmark57.8%—
Thematic Generalization—20.3%
LMArena Hard Prompts1357—

Math Not comparable

MiniMax-M2: 37.3 (#160), Mistral Medium 3.1: —

Math benchmarks
BenchmarkMiniMax-M2Mistral Medium 3.1
LMArena Math1352—

Knowledge Not comparable

MiniMax-M2: 37.0 (#163), Mistral Medium 3.1: —

Knowledge benchmarks
BenchmarkMiniMax-M2Mistral Medium 3.1
LMArena Expert1337—

Multilingual Not comparable

MiniMax-M2: 45.3 (#171), Mistral Medium 3.1: —

Multilingual benchmarks
BenchmarkMiniMax-M2Mistral Medium 3.1
LMArena Non-English1313—
LMArena Chinese1366—
LMArena French1335—
LMArena German1355—
LMArena Russian1331—
LMArena Spanish1326—

Instruction Following Not comparable

MiniMax-M2: 70.2 (#166), Mistral Medium 3.1: —

Instruction Following benchmarks
BenchmarkMiniMax-M2Mistral Medium 3.1
LMArena Instruction Following1328—

Long Context Not comparable

MiniMax-M2: 40.5 (#153), Mistral Medium 3.1: —

Long Context benchmarks
BenchmarkMiniMax-M2Mistral Medium 3.1
LMArena Longer Query1331—

Writing & Preference Mistral Medium 3.1 leads

MiniMax-M2: 53.0 (#162), Mistral Medium 3.1: 55.5 (#145)

Writing & Preference benchmarks
BenchmarkMiniMax-M2Mistral Medium 3.1
LMArena Text1340—
LMArena Creative Writing1286—
EQ-Bench Creative Writing—1476
LMArena Multi-Turn1361—

Frequently asked questions

Is MiniMax-M2 better than Mistral Medium 3.1?

MiniMax-M2 is the stronger model overall, scoring 37.4 to 31.9 on the Noometry Index.

Which is cheaper, MiniMax-M2 or Mistral Medium 3.1?

MiniMax-M2 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Mistral Medium 3.1 lists at $0.40 and $2.

Which has the bigger context window?

MiniMax-M2 does, with 205K tokens against 131K.

How many benchmarks do MiniMax-M2 and Mistral Medium 3.1 share?

1 benchmark has published results for both models. MiniMax-M2 has 21 scored results on Noometry and Mistral Medium 3.1 has 3.

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