Noometry

Model comparison

MiniMax-M2.1 vs Mixtral 8x22B

MiniMax-M2.1 is the stronger model overall, scoring 38.9 to 27.1 on the Noometry Index.

Last verified . 17 shared benchmarks.

MiniMax-M2.1 MiniMax

38.9

Rank #178 Confirmed

Mixtral 8x22B Mistral AI

27.1

Rank #333 Confirmed

Summary

  • They share 17 benchmarks with published results for both. MiniMax-M2.1 scores higher in 8 categories and Mixtral 8x22B in 1 category; 9 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where MiniMax-M2.1 leads 38.3 to 15.1.
  • MiniMax-M2.1 is cheaper at $0.30 / $1.20 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
  • MiniMax-M2.1 accepts more context: 205K tokens versus 64K.

Side by side

MiniMax-M2.1Mixtral 8x22B
ProviderMiniMaxMistral AI
Noometry Index38.927.1
Released2025-12-232024-04-17
WeightsOpenOpen
Context window205K64K
Max output131K64K
Input $ / M tokens$0.30$2
Output $ / M tokens$1.20$6
Results tracked2234

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Category by category

Coding MiniMax-M2.1 leads

MiniMax-M2.1: 40.4 (#143), Mixtral 8x22B: 24.2 (#329)

BenchmarkMiniMax-M2.1Mixtral 8x22B
LMArena Coding14211166
LMArena WebDev1384—
WeirdML—3.2%
BigCodeBench Instruct—40.6%
BigCodeBench Complete—50.2%
ALE-Bench623.83—
HumanEval+—72%
MBPP+—64.3%

Agentic & Tool Use MiniMax-M2.1 leads

MiniMax-M2.1: 27.9 (#98), Mixtral 8x22B: 23.1 (#127)

BenchmarkMiniMax-M2.1Mixtral 8x22B
Terminal-Bench36.6%—
Cybench—7.5%

Reasoning Mixtral 8x22B leads

MiniMax-M2.1: 16.6 (#302), Mixtral 8x22B: 19.9 (#248)

BenchmarkMiniMax-M2.1Mixtral 8x22B
LMArena Hard Prompts14111150
NYT Connections (extended)11.2%—
DTBench—55.1%
Epoch Capabilities Index—122.03
ForecastBench—56.3

Math MiniMax-M2.1 leads

MiniMax-M2.1: 38.3 (#138), Mixtral 8x22B: 22.9 (#275)

BenchmarkMiniMax-M2.1Mixtral 8x22B
LMArena Math13971184
Omni-MATH—16.3%
MATH Level 5—24.2%

Knowledge MiniMax-M2.1 leads

MiniMax-M2.1: 38.3 (#147), Mixtral 8x22B: 15.1 (#293)

BenchmarkMiniMax-M2.1Mixtral 8x22B
LMArena Expert14311113
GPQA Diamond—34.1%
MMLU-Pro—46%
Vectara Hallucination Rate11.8%—
GPQA (HELM)—33.4%
MMLU—77.8%

Multilingual MiniMax-M2.1 leads

MiniMax-M2.1: 50.0 (#128), Mixtral 8x22B: 32.8 (#255)

BenchmarkMiniMax-M2.1Mixtral 8x22B
LMArena Non-English13781128
LMArena Chinese14301116
LMArena French14041166
LMArena German13811141
LMArena Japanese12871037
LMArena Korean12981057
LMArena Russian13871158
LMArena Spanish13971151

Instruction Following MiniMax-M2.1 leads

MiniMax-M2.1: 73.8 (#112), Mixtral 8x22B: 57.7 (#266)

BenchmarkMiniMax-M2.1Mixtral 8x22B
LMArena Instruction Following14001147
IFEval—72.4%

Long Context MiniMax-M2.1 leads

MiniMax-M2.1: 43.2 (#101), Mixtral 8x22B: 34.7 (#247)

BenchmarkMiniMax-M2.1Mixtral 8x22B
LMArena Longer Query14161144

Writing & Preference MiniMax-M2.1 leads

MiniMax-M2.1: 58.3 (#120), Mixtral 8x22B: 36.9 (#262)

BenchmarkMiniMax-M2.1Mixtral 8x22B
LMArena Text13921162
LMArena Creative Writing13611141
LMArena Multi-Turn13961130
WildBench—71.1%

Frequently asked questions

Is MiniMax-M2.1 better than Mixtral 8x22B?

MiniMax-M2.1 is the stronger model overall, scoring 38.9 to 27.1 on the Noometry Index.

Which is cheaper, MiniMax-M2.1 or Mixtral 8x22B?

MiniMax-M2.1 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-M2.1 or Mixtral 8x22B better for coding?

MiniMax-M2.1 scores higher on coding benchmarks: 40.4 versus 24.2 in the Noometry coding category.

Which has the bigger context window?

MiniMax-M2.1 does, with 205K tokens against 64K.

How many benchmarks do MiniMax-M2.1 and Mixtral 8x22B share?

17 benchmarks have published results for both models. MiniMax-M2.1 has 22 scored results on Noometry and Mixtral 8x22B has 34.

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