Noometry

Model comparison

MiniMax-M2.7 vs Mixtral 8x22B

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

Last verified . 19 shared benchmarks.

MiniMax-M2.7 MiniMax

37.7

Rank #196 Confirmed

Mixtral 8x22B Mistral AI

27.1

Rank #333 Confirmed

Summary

  • They share 19 benchmarks with published results for both. MiniMax-M2.7 scores higher in 8 categories and Mixtral 8x22B in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where MiniMax-M2.7 leads 37.7 to 15.1.
  • The biggest single-benchmark swing is WeirdML: 37% for MiniMax-M2.7 and 3.2% for Mixtral 8x22B.
  • MiniMax-M2.7 is cheaper at $0.30 / $1.20 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
  • MiniMax-M2.7 accepts more context: 205K tokens versus 64K.

Side by side

MiniMax-M2.7Mixtral 8x22B
ProviderMiniMaxMistral AI
Noometry Index37.727.1
Released2026-03-182024-04-17
WeightsOpenOpen
Context window205K64K
Max output131K64K
Input $ / M tokens$0.30$2
Output $ / M tokens$1.20$6
Results tracked3034

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding MiniMax-M2.7 leads

MiniMax-M2.7: 41.8 (#120), Mixtral 8x22B: 24.2 (#329)

BenchmarkMiniMax-M2.7Mixtral 8x22B
WeirdML37%3.2%
LMArena Coding14541166
LMArena WebDev1398—
SciCode47%—
BigCodeBench Instruct—40.6%
BigCodeBench Complete—50.2%
ALE-Bench599.25—
HumanEval+—72%
MBPP+—64.3%

Agentic & Tool Use MiniMax-M2.7 leads

MiniMax-M2.7: 25.1 (#111), Mixtral 8x22B: 23.1 (#127)

BenchmarkMiniMax-M2.7Mixtral 8x22B
Terminal-Bench45.1%—
Cybench—7.5%
ExploitBench13.3%—
GBAEval0%—

Reasoning Too close to call

MiniMax-M2.7: 19.7 (#253), Mixtral 8x22B: 19.9 (#248)

BenchmarkMiniMax-M2.7Mixtral 8x22B
LMArena Hard Prompts14221150
Epoch Capabilities Index145.85122.03
NYT Connections (extended)24.7%—
CritPt0.6%—
Thematic Generalization39.3%—
DTBench—55.1%
ForecastBench—56.3

Math MiniMax-M2.7 leads

MiniMax-M2.7: 25.9 (#263), Mixtral 8x22B: 22.9 (#275)

BenchmarkMiniMax-M2.7Mixtral 8x22B
LMArena Math14201184
ProofBench3%—
Omni-MATH—16.3%
MATH Level 5—24.2%

Knowledge MiniMax-M2.7 leads

MiniMax-M2.7: 37.7 (#152), Mixtral 8x22B: 15.1 (#293)

BenchmarkMiniMax-M2.7Mixtral 8x22B
LMArena Expert14441113
GPQA Diamond—34.1%
MMLU-Pro—46%
Vectara Hallucination Rate12.9%—
GPQA (HELM)—33.4%
MMLU—77.8%

Multilingual MiniMax-M2.7 leads

MiniMax-M2.7: 50.3 (#123), Mixtral 8x22B: 32.8 (#255)

BenchmarkMiniMax-M2.7Mixtral 8x22B
LMArena Non-English13821128
LMArena Chinese14411116
LMArena French14211166
LMArena German13981141
LMArena Japanese12621037
LMArena Korean13131057
LMArena Russian13831158
LMArena Spanish14031151

Instruction Following MiniMax-M2.7 leads

MiniMax-M2.7: 74.1 (#103), Mixtral 8x22B: 57.7 (#266)

BenchmarkMiniMax-M2.7Mixtral 8x22B
LMArena Instruction Following14051147
IFEval—72.4%

Long Context MiniMax-M2.7 leads

MiniMax-M2.7: 43.3 (#99), Mixtral 8x22B: 34.7 (#247)

BenchmarkMiniMax-M2.7Mixtral 8x22B
LMArena Longer Query14191144

Writing & Preference MiniMax-M2.7 leads

MiniMax-M2.7: 58.9 (#112), Mixtral 8x22B: 36.9 (#262)

BenchmarkMiniMax-M2.7Mixtral 8x22B
LMArena Text14051162
LMArena Creative Writing13541141
LMArena Multi-Turn14121130
WildBench—71.1%

Frequently asked questions

Is MiniMax-M2.7 better than Mixtral 8x22B?

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 8x22B?

MiniMax-M2.7 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Mixtral 8x22B lists at $2 and $6.

Is MiniMax-M2.7 or Mixtral 8x22B better for coding?

MiniMax-M2.7 scores higher on coding benchmarks: 41.8 versus 24.2 in the Noometry coding category.

Which has the bigger context window?

MiniMax-M2.7 does, with 205K tokens against 64K.

How many benchmarks do MiniMax-M2.7 and Mixtral 8x22B share?

19 benchmarks have published results for both models. MiniMax-M2.7 has 30 scored results on Noometry and Mixtral 8x22B has 34.

Related comparisons

Go deeper