Model comparison

Codestral vs MiniMax-M2.1

MiniMax-M2.1 is the stronger model overall, scoring 38.9 to 30.6 on the Noometry Index.

Last verified . 1 shared benchmarks.

Codestral Mistral AI

30.6

Rank #290 Reported

MiniMax-M2.1 MiniMax

38.9

Rank #178 Confirmed

Summary

  • They share 1 benchmark with published results for both. Codestral scores higher in 1 category and MiniMax-M2.1 in 1 category; 2 gaps are clear of the uncertainty.
  • The widest gap is in coding, where MiniMax-M2.1 leads 40.4 to 27.3.
  • Codestral is cheaper at $0.30 / $0.90 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.1.
  • Codestral accepts more context: 256K tokens versus 205K.
  • MiniMax-M2.1 has downloadable open weights; the other is API-only.

Side by side

Codestral and MiniMax-M2.1 specifications
CodestralMiniMax-M2.1
ProviderMistral AIMiniMax
Noometry Index30.638.9
Released2024-05-292025-12-23
WeightsProprietaryOpen
Context window256K205K
Max output8K131K
Input $ / M tokens$0.30$0.30
Output $ / M tokens$0.90$1.20
Results tracked722

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Category by category

Coding MiniMax-M2.1 leads

Codestral: 27.3 (#321), MiniMax-M2.1: 40.4 (#143)

Coding benchmarks
BenchmarkCodestralMiniMax-M2.1
ALE-Bench137.78623.83
Aider Polyglot11.1%—
LMArena WebDev—1384
BigCodeBench Instruct41.8%—
LMArena Coding—1421
BigCodeBench Complete52.5%—
HumanEval+73.8%—
MBPP+61.9%—

Agentic & Tool Use Not comparable

Codestral: —, MiniMax-M2.1: 27.9 (#98)

Agentic & Tool Use benchmarks
BenchmarkCodestralMiniMax-M2.1
Terminal-Bench—36.6%

Reasoning Codestral leads

Codestral: 19.8 (#251), MiniMax-M2.1: 16.6 (#302)

Reasoning benchmarks
BenchmarkCodestralMiniMax-M2.1
Kagi LLM Benchmark32.5%—
NYT Connections (extended)—11.2%
LMArena Hard Prompts—1411

Math Not comparable

Codestral: —, MiniMax-M2.1: 38.3 (#138)

Math benchmarks
BenchmarkCodestralMiniMax-M2.1
LMArena Math—1397

Knowledge Not comparable

Codestral: —, MiniMax-M2.1: 38.3 (#147)

Knowledge benchmarks
BenchmarkCodestralMiniMax-M2.1
Vectara Hallucination Rate—11.8%
LMArena Expert—1431

Multilingual Not comparable

Codestral: —, MiniMax-M2.1: 50.0 (#128)

Multilingual benchmarks
BenchmarkCodestralMiniMax-M2.1
LMArena Non-English—1378
LMArena Chinese—1430
LMArena French—1404
LMArena German—1381
LMArena Japanese—1287
LMArena Korean—1298
LMArena Russian—1387
LMArena Spanish—1397

Instruction Following Not comparable

Codestral: —, MiniMax-M2.1: 73.8 (#112)

Instruction Following benchmarks
BenchmarkCodestralMiniMax-M2.1
LMArena Instruction Following—1400

Long Context Not comparable

Codestral: —, MiniMax-M2.1: 43.2 (#101)

Long Context benchmarks
BenchmarkCodestralMiniMax-M2.1
LMArena Longer Query—1416

Writing & Preference Not comparable

Codestral: —, MiniMax-M2.1: 58.3 (#120)

Writing & Preference benchmarks
BenchmarkCodestralMiniMax-M2.1
LMArena Text—1392
LMArena Creative Writing—1361
LMArena Multi-Turn—1396

Frequently asked questions

Is Codestral better than MiniMax-M2.1?

MiniMax-M2.1 is the stronger model overall, scoring 38.9 to 30.6 on the Noometry Index.

Which is cheaper, Codestral or MiniMax-M2.1?

Codestral is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; MiniMax-M2.1 lists at $0.30 and $1.20.

Is Codestral or MiniMax-M2.1 better for coding?

MiniMax-M2.1 scores higher on coding benchmarks: 40.4 versus 27.3 in the Noometry coding category.

Which has the bigger context window?

Codestral does, with 256K tokens against 205K.

How many benchmarks do Codestral and MiniMax-M2.1 share?

1 benchmark has published results for both models. Codestral has 7 scored results on Noometry and MiniMax-M2.1 has 22.

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