Model comparison

MiniMax-M2 vs Mistral Small

MiniMax-M2 is the stronger model overall, scoring 37.4 to 33.4 on the Noometry Index. Mistral Small costs 2.0× less per token, which makes it the better buy when MiniMax-M2's lead doesn't matter for your workload.

Last verified . 16 shared benchmarks.

MiniMax-M2 MiniMax

37.4

Rank #204 Confirmed

Mistral Small Mistral AI

33.4

Rank #243 Confirmed

Summary

  • They share 16 benchmarks with published results for both. MiniMax-M2 scores higher in 6 categories and Mistral Small in 3 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in math, where MiniMax-M2 leads 37.3 to 16.4.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 57.8% for MiniMax-M2 and 37.8% for Mistral Small.
  • Mistral Small is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.
  • Mistral Small accepts more context: 262K tokens versus 205K.

Side by side

MiniMax-M2 and Mistral Small specifications
MiniMax-M2Mistral Small
ProviderMiniMaxMistral AI
Noometry Index37.433.4
Released2025-10-272024-02-26
WeightsOpenOpen
Context window205K262K
Max output131K256K
Input $ / M tokens$0.30$0.15
Output $ / M tokens$1.20$0.60
Results tracked2139

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Category by category

Coding MiniMax-M2 leads

MiniMax-M2: 39.3 (#159), Mistral Small: 34.0 (#247)

Coding benchmarks
BenchmarkMiniMax-M2Mistral Small
LMArena Coding13701362
SWE-bench Verified (bash only)61%—
LMArena WebDev1297—
SciCode—26.5%
BigCodeBench Instruct—36.1%
LiveBench Coding—36.2%
BigCodeBench Complete—46.6%
ALE-Bench—497.62

Agentic & Tool Use Mistral Small leads

MiniMax-M2: 25.1 (#109), Mistral Small: 28.1 (#93)

Agentic & Tool Use benchmarks
BenchmarkMiniMax-M2Mistral Small
Terminal-Bench30%—
Berkeley Function Calling Leaderboard—37.1%
Vending-Bench 2160.6—

Reasoning Too close to call

MiniMax-M2: 19.4 (#258), Mistral Small: 19.8 (#250)

Reasoning benchmarks
BenchmarkMiniMax-M2Mistral Small
Kagi LLM Benchmark57.8%37.8%
LMArena Hard Prompts13571335
NYT Connections (extended)14.8%—
CritPt—0%
LiveBench Reasoning—44.8%
DTBench—70.9%
LiveBench Data Analysis—53.7%
LMCA—20.6%
LiveBench—44%

Math MiniMax-M2 leads

MiniMax-M2: 37.3 (#160), Mistral Small: 16.4 (#293)

Math benchmarks
BenchmarkMiniMax-M2Mistral Small
LMArena Math13521341
OTIS Mock AIME 2024-2025—5.8%
LiveBench Math—39.9%
MATH Level 5—46.8%

Knowledge MiniMax-M2 leads

MiniMax-M2: 37.0 (#163), Mistral Small: 31.0 (#222)

Knowledge benchmarks
BenchmarkMiniMax-M2Mistral Small
LMArena Expert13371291
GPQA Diamond—47.5%
Vectara Hallucination Rate—5.1%
MMLU—68.7%

Multimodal Not comparable

MiniMax-M2: —, Mistral Small: 33.5 (#96)

Multimodal benchmarks
BenchmarkMiniMax-M2Mistral Small
LMArena Vision—1142

Multilingual Too close to call

MiniMax-M2: 45.3 (#171), Mistral Small: 45.5 (#169)

Multilingual benchmarks
BenchmarkMiniMax-M2Mistral Small
LMArena Non-English13131315
LMArena Chinese13661340
LMArena French13351337
LMArena German13551340
LMArena Russian13311324
LMArena Spanish13261346
LMArena Japanese—1275
LMArena Korean—1259

Instruction Following MiniMax-M2 leads

MiniMax-M2: 70.2 (#166), Mistral Small: 66.4 (#209)

Instruction Following benchmarks
BenchmarkMiniMax-M2Mistral Small
LMArena Instruction Following13281310
LiveBench Instruction Following—63.7%

Long Context Too close to call

MiniMax-M2: 40.5 (#153), Mistral Small: 40.4 (#156)

Long Context benchmarks
BenchmarkMiniMax-M2Mistral Small
LMArena Longer Query13311327

Writing & Preference Too close to call

MiniMax-M2: 53.0 (#162), Mistral Small: 52.5 (#171)

Writing & Preference benchmarks
BenchmarkMiniMax-M2Mistral Small
LMArena Text13401338
LMArena Creative Writing12861305
LMArena Multi-Turn13611344
LiveBench Language—30.5%

Frequently asked questions

Is MiniMax-M2 better than Mistral Small?

MiniMax-M2 is the stronger model overall, scoring 37.4 to 33.4 on the Noometry Index. Mistral Small costs 2.0× less per token, which makes it the better buy when MiniMax-M2's lead doesn't matter for your workload.

Which is cheaper, MiniMax-M2 or Mistral Small?

Mistral Small is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; MiniMax-M2 lists at $0.30 and $1.20.

Is MiniMax-M2 or Mistral Small better for coding?

MiniMax-M2 scores higher on coding benchmarks: 39.3 versus 34.0 in the Noometry coding category.

Which has the bigger context window?

Mistral Small does, with 262K tokens against 205K.

How many benchmarks do MiniMax-M2 and Mistral Small share?

16 benchmarks have published results for both models. MiniMax-M2 has 21 scored results on Noometry and Mistral Small has 39.

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