Model comparison

MiniMax M1 vs Mixtral 8x7B

MiniMax M1 is the stronger model overall, scoring 40.3 to 27.1 on the Noometry Index.

Last verified . 17 shared benchmarks.

MiniMax M1 MiniMax

40.3

Rank #150 Confirmed

Mixtral 8x7B Mistral AI

27.1

Rank #334 Confirmed

Summary

  • They share 17 benchmarks with published results for both. MiniMax M1 scores higher in 8 categories and Mixtral 8x7B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where MiniMax M1 leads 36.4 to 11.0.
  • Mixtral 8x7B is cheaper at $0.70 / $0.70 per million input/output tokens, against $0.55 / $2.20 for MiniMax M1.
  • MiniMax M1 accepts more context: 1M tokens versus 32K.

Side by side

MiniMax M1 and Mixtral 8x7B specifications
MiniMax M1Mixtral 8x7B
ProviderMiniMaxMistral AI
Noometry Index40.327.1
Released2025-06-132023-12-11
WeightsOpenOpen
Context window1M32K
Max output40K32K
Input $ / M tokens$0.55$0.70
Output $ / M tokens$2.20$0.70
Results tracked1838

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Category by category

Coding MiniMax M1 leads

MiniMax M1: 39.9 (#153), Mixtral 8x7B: 32.8 (#269)

Coding benchmarks
BenchmarkMiniMax M1Mixtral 8x7B
LMArena Coding13591126
HumanEval+—39.6%
MBPP+—49.7%

Reasoning MiniMax M1 leads

MiniMax M1: 26.9 (#126), Mixtral 8x7B: 18.2 (#285)

Reasoning benchmarks
BenchmarkMiniMax M1Mixtral 8x7B
LMArena Hard Prompts13391115
DTBench—49.6%
Adversarial NLI—55.2%
Epoch Capabilities Index—118.47
ForecastBench—56.3
HellaSwag—86.7%
PIQA—83.6%
WinoGrande—77.2%

Math MiniMax M1 leads

MiniMax M1: 37.5 (#151), Mixtral 8x7B: 18.8 (#289)

Math benchmarks
BenchmarkMiniMax M1Mixtral 8x7B
LMArena Math13611147
Omni-MATH—10.5%
MATH Level 5—10%
GSM8K—74.4%

Knowledge MiniMax M1 leads

MiniMax M1: 36.4 (#170), Mixtral 8x7B: 11.0 (#301)

Knowledge benchmarks
BenchmarkMiniMax M1Mixtral 8x7B
LMArena Expert13171088
GPQA Diamond—30.6%
MMLU-Pro—33.5%
GPQA (HELM)—29.6%
ARC (AI2) Challenge—87.3%
MMLU—70.6%
OpenBookQA—85.8%
TriviaQA—82.2%

Multilingual MiniMax M1 leads

MiniMax M1: 45.8 (#163), Mixtral 8x7B: 29.6 (#266)

Multilingual benchmarks
BenchmarkMiniMax M1Mixtral 8x7B
LMArena Non-English13191077
LMArena Chinese13601055
LMArena French13701166
LMArena German13501114
LMArena Japanese1217931
LMArena Korean1266968
LMArena Russian13291090
LMArena Spanish13531111

Instruction Following MiniMax M1 leads

MiniMax M1: 69.3 (#174), Mixtral 8x7B: 51.0 (#297)

Instruction Following benchmarks
BenchmarkMiniMax M1Mixtral 8x7B
LMArena Instruction Following13121109
IFEval—57.5%

Long Context MiniMax M1 leads

MiniMax M1: 41.4 (#141), Mixtral 8x7B: 33.4 (#260)

Long Context benchmarks
BenchmarkMiniMax M1Mixtral 8x7B
LMArena Longer Query13261103
Fiction.LiveBench69.4%—

Writing & Preference MiniMax M1 leads

MiniMax M1: 53.1 (#161), Mixtral 8x7B: 34.2 (#270)

Writing & Preference benchmarks
BenchmarkMiniMax M1Mixtral 8x7B
LMArena Text13431132
LMArena Creative Writing12981109
LMArena Multi-Turn13351115
WildBench—67.3%

Frequently asked questions

Is MiniMax M1 better than Mixtral 8x7B?

MiniMax M1 is the stronger model overall, scoring 40.3 to 27.1 on the Noometry Index.

Which is cheaper, MiniMax M1 or Mixtral 8x7B?

Mixtral 8x7B is cheaper. It lists at $0.70 per million input tokens and $0.70 per million output tokens; MiniMax M1 lists at $0.55 and $2.20.

Is MiniMax M1 or Mixtral 8x7B better for coding?

MiniMax M1 scores higher on coding benchmarks: 39.9 versus 32.8 in the Noometry coding category.

Which has the bigger context window?

MiniMax M1 does, with 1M tokens against 32K.

How many benchmarks do MiniMax M1 and Mixtral 8x7B share?

17 benchmarks have published results for both models. MiniMax M1 has 18 scored results on Noometry and Mixtral 8x7B has 38.

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