Model comparison

MiniMax M1 vs Mistral 7B

MiniMax M1 is the stronger model overall, scoring 40.3 to 23.0 on the Noometry Index. Mistral 7B costs 3.9× less per token, which makes it the better buy when MiniMax M1's lead doesn't matter for your workload.

Last verified . 16 shared benchmarks.

MiniMax M1 MiniMax

40.3

Rank #150 Confirmed

Mistral 7B Mistral AI

23.0

Rank #351 Confirmed

Summary

  • They share 16 benchmarks with published results for both. MiniMax M1 scores higher in 8 categories and Mistral 7B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where MiniMax M1 leads 37.5 to 8.1.
  • Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $0.55 / $2.20 for MiniMax M1.
  • MiniMax M1 accepts more context: 1M tokens versus 8K.

Side by side

MiniMax M1 and Mistral 7B specifications
MiniMax M1Mistral 7B
ProviderMiniMaxMistral AI
Noometry Index40.323.0
Released2025-06-132023-09-27
WeightsOpenOpen
Context window1M8K
Max output40K8K
Input $ / M tokens$0.55$0.25
Output $ / M tokens$2.20$0.25
Results tracked1837

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Category by category

Coding MiniMax M1 leads

MiniMax M1: 39.9 (#153), Mistral 7B: 26.4 (#326)

Coding benchmarks
BenchmarkMiniMax M1Mistral 7B
LMArena Coding13591082
BigCodeBench Instruct—19.5%
BigCodeBench Complete—27.3%
HumanEval+—36%
MBPP+—42.1%

Reasoning MiniMax M1 leads

MiniMax M1: 26.9 (#126), Mistral 7B: 13.1 (#336)

Reasoning benchmarks
BenchmarkMiniMax M1Mistral 7B
LMArena Hard Prompts13391067
Chess Puzzles—0%
DTBench—42.5%
Adversarial NLI—47.1%
BIG-Bench Hard—56.1%
Epoch Capabilities Index—112.21
HellaSwag—81%
PIQA—83%
WinoGrande—75.3%

Math MiniMax M1 leads

MiniMax M1: 37.5 (#151), Mistral 7B: 8.1 (#325)

Math benchmarks
BenchmarkMiniMax M1Mistral 7B
LMArena Math13611085
OTIS Mock AIME 2024-2025—0.3%
MATH Level 5—3.7%
GSM8K—54.4%

Knowledge MiniMax M1 leads

MiniMax M1: 36.4 (#170), Mistral 7B: 7.4 (#311)

Knowledge benchmarks
BenchmarkMiniMax M1Mistral 7B
LMArena Expert13171036
GPQA Diamond—15.2%
ARC (AI2) Challenge—78.6%
BoolQ—87.4%
MMLU—62.5%
OpenBookQA—79.8%
TriviaQA—75.2%

Multilingual MiniMax M1 leads

MiniMax M1: 45.8 (#163), Mistral 7B: 25.8 (#283)

Multilingual benchmarks
BenchmarkMiniMax M1Mistral 7B
LMArena Non-English13191012
LMArena Chinese13601009
LMArena French13701037
LMArena German1350987
LMArena Japanese1217878
LMArena Russian13291018
LMArena Spanish13531026
LMArena Korean1266—

Instruction Following MiniMax M1 leads

MiniMax M1: 69.3 (#174), Mistral 7B: 54.2 (#280)

Instruction Following benchmarks
BenchmarkMiniMax M1Mistral 7B
LMArena Instruction Following13121060

Long Context MiniMax M1 leads

MiniMax M1: 41.4 (#141), Mistral 7B: 32.2 (#271)

Long Context benchmarks
BenchmarkMiniMax M1Mistral 7B
LMArena Longer Query13261060
Fiction.LiveBench69.4%—

Writing & Preference MiniMax M1 leads

MiniMax M1: 53.1 (#161), Mistral 7B: 30.7 (#286)

Writing & Preference benchmarks
BenchmarkMiniMax M1Mistral 7B
LMArena Text13431090
LMArena Creative Writing12981068
LMArena Multi-Turn13351062

Frequently asked questions

Is MiniMax M1 better than Mistral 7B?

MiniMax M1 is the stronger model overall, scoring 40.3 to 23.0 on the Noometry Index. Mistral 7B costs 3.9× 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 7B?

Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; MiniMax M1 lists at $0.55 and $2.20.

Is MiniMax M1 or Mistral 7B better for coding?

MiniMax M1 scores higher on coding benchmarks: 39.9 versus 26.4 in the Noometry coding category.

Which has the bigger context window?

MiniMax M1 does, with 1M tokens against 8K.

How many benchmarks do MiniMax M1 and Mistral 7B share?

16 benchmarks have published results for both models. MiniMax M1 has 18 scored results on Noometry and Mistral 7B has 37.

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