Noometry

Model comparison

MiniMax-M2.7 vs Mixtral 8x7B

MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 27.1 on the Noometry Index.

Last verified . 18 shared benchmarks.

MiniMax-M2.7 MiniMax

37.7

Rank #196 Confirmed

Mixtral 8x7B Mistral AI

27.1

Rank #334 Confirmed

Summary

  • They share 18 benchmarks with published results for both. MiniMax-M2.7 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-M2.7 leads 37.7 to 11.0.
  • MiniMax-M2.7 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.70 / $0.70 for Mixtral 8x7B.
  • MiniMax-M2.7 accepts more context: 205K tokens versus 32K.

Side by side

MiniMax-M2.7Mixtral 8x7B
ProviderMiniMaxMistral AI
Noometry Index37.727.1
Released2026-03-182023-12-11
WeightsOpenOpen
Context window205K32K
Max output131K32K
Input $ / M tokens$0.30$0.70
Output $ / M tokens$1.20$0.70
Results tracked3038

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Category by category

Coding MiniMax-M2.7 leads

MiniMax-M2.7: 41.8 (#120), Mixtral 8x7B: 32.8 (#269)

BenchmarkMiniMax-M2.7Mixtral 8x7B
LMArena Coding14541126
LMArena WebDev1398—
SciCode47%—
WeirdML37%—
ALE-Bench599.25—
HumanEval+—39.6%
MBPP+—49.7%

Agentic & Tool Use Not comparable

MiniMax-M2.7: 25.1 (#111), Mixtral 8x7B: —

BenchmarkMiniMax-M2.7Mixtral 8x7B
Terminal-Bench45.1%—
ExploitBench13.3%—
GBAEval0%—

Reasoning MiniMax-M2.7 leads

MiniMax-M2.7: 19.7 (#253), Mixtral 8x7B: 18.2 (#285)

BenchmarkMiniMax-M2.7Mixtral 8x7B
LMArena Hard Prompts14221115
Epoch Capabilities Index145.85118.47
NYT Connections (extended)24.7%—
CritPt0.6%—
Thematic Generalization39.3%—
DTBench—49.6%
Adversarial NLI—55.2%
ForecastBench—56.3
HellaSwag—86.7%
PIQA—83.6%
WinoGrande—77.2%

Math MiniMax-M2.7 leads

MiniMax-M2.7: 25.9 (#263), Mixtral 8x7B: 18.8 (#289)

BenchmarkMiniMax-M2.7Mixtral 8x7B
LMArena Math14201147
ProofBench3%—
Omni-MATH—10.5%
MATH Level 5—10%
GSM8K—74.4%

Knowledge MiniMax-M2.7 leads

MiniMax-M2.7: 37.7 (#152), Mixtral 8x7B: 11.0 (#301)

BenchmarkMiniMax-M2.7Mixtral 8x7B
LMArena Expert14441088
GPQA Diamond—30.6%
MMLU-Pro—33.5%
Vectara Hallucination Rate12.9%—
GPQA (HELM)—29.6%
ARC (AI2) Challenge—87.3%
MMLU—70.6%
OpenBookQA—85.8%
TriviaQA—82.2%

Multilingual MiniMax-M2.7 leads

MiniMax-M2.7: 50.3 (#123), Mixtral 8x7B: 29.6 (#266)

BenchmarkMiniMax-M2.7Mixtral 8x7B
LMArena Non-English13821077
LMArena Chinese14411055
LMArena French14211166
LMArena German13981114
LMArena Japanese1262931
LMArena Korean1313968
LMArena Russian13831090
LMArena Spanish14031111

Instruction Following MiniMax-M2.7 leads

MiniMax-M2.7: 74.1 (#103), Mixtral 8x7B: 51.0 (#297)

BenchmarkMiniMax-M2.7Mixtral 8x7B
LMArena Instruction Following14051109
IFEval—57.5%

Long Context MiniMax-M2.7 leads

MiniMax-M2.7: 43.3 (#99), Mixtral 8x7B: 33.4 (#260)

BenchmarkMiniMax-M2.7Mixtral 8x7B
LMArena Longer Query14191103

Writing & Preference MiniMax-M2.7 leads

MiniMax-M2.7: 58.9 (#112), Mixtral 8x7B: 34.2 (#270)

BenchmarkMiniMax-M2.7Mixtral 8x7B
LMArena Text14051132
LMArena Creative Writing13541109
LMArena Multi-Turn14121115
WildBench—67.3%

Frequently asked questions

Is MiniMax-M2.7 better than Mixtral 8x7B?

MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 27.1 on the Noometry Index.

Which is cheaper, MiniMax-M2.7 or Mixtral 8x7B?

MiniMax-M2.7 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Mixtral 8x7B lists at $0.70 and $0.70.

Is MiniMax-M2.7 or Mixtral 8x7B better for coding?

MiniMax-M2.7 scores higher on coding benchmarks: 41.8 versus 32.8 in the Noometry coding category.

Which has the bigger context window?

MiniMax-M2.7 does, with 205K tokens against 32K.

How many benchmarks do MiniMax-M2.7 and Mixtral 8x7B share?

18 benchmarks have published results for both models. MiniMax-M2.7 has 30 scored results on Noometry and Mixtral 8x7B has 38.

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