Model comparison

MiniMax M1 vs Mistral Small 3.1

MiniMax M1 is the stronger model overall, scoring 40.3 to 31.7 on the Noometry Index. Mistral Small 3.1 costs 2.4× less per token, which makes it the better buy when MiniMax M1's lead doesn't matter for your workload.

Last verified . 17 shared benchmarks.

MiniMax M1 MiniMax

40.3

Rank #150 Confirmed

Mistral Small 3.1 Mistral AI

31.7

Rank #269 Confirmed

Summary

  • They share 17 benchmarks with published results for both. MiniMax M1 scores higher in 8 categories and Mistral Small 3.1 in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where MiniMax M1 leads 37.5 to 14.7.
  • Mistral Small 3.1 is cheaper at $0.35 / $0.56 per million input/output tokens, against $0.55 / $2.20 for MiniMax M1.
  • MiniMax M1 accepts more context: 1M tokens versus 128K.

Side by side

MiniMax M1 and Mistral Small 3.1 specifications
MiniMax M1Mistral Small 3.1
ProviderMiniMaxMistral AI
Noometry Index40.331.7
Released2025-06-132025-03-17
WeightsOpenOpen
Context window1M128K
Max output40K102K
Input $ / M tokens$0.55$0.35
Output $ / M tokens$2.20$0.56
Results tracked1828

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Category by category

Coding MiniMax M1 leads

MiniMax M1: 39.9 (#153), Mistral Small 3.1: 38.3 (#179)

Coding benchmarks
BenchmarkMiniMax M1Mistral Small 3.1
LMArena Coding13591309

Reasoning MiniMax M1 leads

MiniMax M1: 26.9 (#126), Mistral Small 3.1: 19.7 (#254)

Reasoning benchmarks
BenchmarkMiniMax M1Mistral Small 3.1
LMArena Hard Prompts13391278
Chess Puzzles—1%
Epoch Capabilities Index—127.48

Math MiniMax M1 leads

MiniMax M1: 37.5 (#151), Mistral Small 3.1: 14.7 (#301)

Math benchmarks
BenchmarkMiniMax M1Mistral Small 3.1
LMArena Math13611262
OTIS Mock AIME 2024-2025—3.9%
Omni-MATH—24.8%

Knowledge MiniMax M1 leads

MiniMax M1: 36.4 (#170), Mistral Small 3.1: 22.6 (#271)

Knowledge benchmarks
BenchmarkMiniMax M1Mistral Small 3.1
LMArena Expert13171257
GPQA Diamond—41.9%
MMLU-Pro—61%
GPQA (HELM)—39.2%

Multimodal Not comparable

MiniMax M1: —, Mistral Small 3.1: 33.2 (#99)

Multimodal benchmarks
BenchmarkMiniMax M1Mistral Small 3.1
LMArena Vision—1136

Multilingual MiniMax M1 leads

MiniMax M1: 45.8 (#163), Mistral Small 3.1: 41.2 (#209)

Multilingual benchmarks
BenchmarkMiniMax M1Mistral Small 3.1
LMArena Non-English13191255
LMArena Chinese13601253
LMArena French13701273
LMArena German13501266
LMArena Japanese12171208
LMArena Korean12661206
LMArena Russian13291263
LMArena Spanish13531283

Instruction Following MiniMax M1 leads

MiniMax M1: 69.3 (#174), Mistral Small 3.1: 63.6 (#230)

Instruction Following benchmarks
BenchmarkMiniMax M1Mistral Small 3.1
LMArena Instruction Following13121264
IFEval—75%

Long Context MiniMax M1 leads

MiniMax M1: 41.4 (#141), Mistral Small 3.1: 39.5 (#178)

Long Context benchmarks
BenchmarkMiniMax M1Mistral Small 3.1
LMArena Longer Query13261299
Fiction.LiveBench69.4%—

Writing & Preference MiniMax M1 leads

MiniMax M1: 53.1 (#161), Mistral Small 3.1: 37.0 (#259)

Writing & Preference benchmarks
BenchmarkMiniMax M1Mistral Small 3.1
LMArena Text13431277
LMArena Creative Writing12981253
LMArena Multi-Turn13351270
EQ-Bench Creative Writing—761
WildBench—78.8%

Frequently asked questions

Is MiniMax M1 better than Mistral Small 3.1?

MiniMax M1 is the stronger model overall, scoring 40.3 to 31.7 on the Noometry Index. Mistral Small 3.1 costs 2.4× less per token, which makes it the better buy when MiniMax M1's lead doesn't matter for your workload.

Which is cheaper, MiniMax M1 or Mistral Small 3.1?

Mistral Small 3.1 is cheaper. It lists at $0.35 per million input tokens and $0.56 per million output tokens; MiniMax M1 lists at $0.55 and $2.20.

Is MiniMax M1 or Mistral Small 3.1 better for coding?

MiniMax M1 scores higher on coding benchmarks: 39.9 versus 38.3 in the Noometry coding category.

Which has the bigger context window?

MiniMax M1 does, with 1M tokens against 128K.

How many benchmarks do MiniMax M1 and Mistral Small 3.1 share?

17 benchmarks have published results for both models. MiniMax M1 has 18 scored results on Noometry and Mistral Small 3.1 has 28.

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