Model comparison

Codestral vs MiniMax-M3

MiniMax-M3 is the stronger model overall, scoring 43.8 to 30.6 on the Noometry Index.

Last verified . 1 shared benchmarks.

Codestral Mistral AI

30.6

Rank #290 Reported

MiniMax-M3 MiniMax

43.8

Rank #85 Confirmed

Summary

  • They share 1 benchmark with published results for both. Codestral scores higher in 0 categories and MiniMax-M3 in 2 categories; 2 gaps are clear of the uncertainty.
  • The widest gap is in coding, where MiniMax-M3 leads 41.8 to 27.3.
  • Codestral is cheaper at $0.30 / $0.90 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M3.
  • MiniMax-M3 accepts more context: 1M tokens versus 256K.
  • MiniMax-M3 has downloadable open weights; the other is API-only.

Side by side

Codestral and MiniMax-M3 specifications
CodestralMiniMax-M3
ProviderMistral AIMiniMax
Noometry Index30.643.8
Released2024-05-292026-06-01
WeightsProprietaryOpen
Context window256K1M
Max output8K512K
Input $ / M tokens$0.30$0.30
Output $ / M tokens$0.90$1.20
Results tracked741

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Category by category

Coding MiniMax-M3 leads

Codestral: 27.3 (#321), MiniMax-M3: 41.8 (#118)

Coding benchmarks
BenchmarkCodestralMiniMax-M3
ALE-Bench137.78640.02
FrontierCode—14.7%
Aider Polyglot11.1%—
LMArena WebDev—1482
SciCode—47.1%
BigCodeBench Instruct41.8%—
LMArena Coding—1469
BigCodeBench Complete52.5%—
HumanEval+73.8%—
MBPP+61.9%—

Agentic & Tool Use Not comparable

Codestral: —, MiniMax-M3: 22.6 (#130)

Agentic & Tool Use benchmarks
BenchmarkCodestralMiniMax-M3
APEX-Agents—37.7%
OSWorld 2.0—4.6%
GBAEval—0.9%
Vending-Bench 2—2,158

Reasoning MiniMax-M3 leads

Codestral: 19.8 (#251), MiniMax-M3: 30.1 (#87)

Reasoning benchmarks
BenchmarkCodestralMiniMax-M3
SimpleBench—45.8%
Kagi LLM Benchmark32.5%—
NYT Connections (extended)—65.1%
CritPt—3.7%
Chess Puzzles—14%
LMArena Hard Prompts—1447
Mystery Game Puzzles—8%
DTBench—78.9%
LMCA—33.7%
Surface Evolver Bench—55%
Epoch Capabilities Index—146.95
ForecastBench—61.4

Math Not comparable

Codestral: —, MiniMax-M3: 40.0 (#95)

Math benchmarks
BenchmarkCodestralMiniMax-M3
OTIS Mock AIME 2024-2025—71.1%
ProofBench—18%
LMArena Math—1429

Knowledge Not comparable

Codestral: —, MiniMax-M3: 58.4 (#35)

Knowledge benchmarks
BenchmarkCodestralMiniMax-M3
GPQA Diamond—90.9%
LMArena Expert—1461

Multimodal Not comparable

Codestral: —, MiniMax-M3: 40.2 (#51)

Multimodal benchmarks
BenchmarkCodestralMiniMax-M3
LMArena Vision—1253
LMArena Document—1435

Multilingual Not comparable

Codestral: —, MiniMax-M3: 53.0 (#75)

Multilingual benchmarks
BenchmarkCodestralMiniMax-M3
LMArena Non-English—1420
LMArena Chinese—1463
LMArena French—1447
LMArena German—1426
LMArena Japanese—1381
LMArena Korean—1372
LMArena Russian—1428
LMArena Spanish—1432

Instruction Following Not comparable

Codestral: —, MiniMax-M3: 75.5 (#62)

Instruction Following benchmarks
BenchmarkCodestralMiniMax-M3
LMArena Instruction Following—1433

Long Context Not comparable

Codestral: —, MiniMax-M3: 44.2 (#72)

Long Context benchmarks
BenchmarkCodestralMiniMax-M3
LMArena Longer Query—1445

Writing & Preference Not comparable

Codestral: —, MiniMax-M3: 62.1 (#83)

Writing & Preference benchmarks
BenchmarkCodestralMiniMax-M3
LMArena Text—1433
LMArena Creative Writing—1404
EQ-Bench 4—1150
LMArena Multi-Turn—1442

Frequently asked questions

Is Codestral better than MiniMax-M3?

MiniMax-M3 is the stronger model overall, scoring 43.8 to 30.6 on the Noometry Index.

Which is cheaper, Codestral or MiniMax-M3?

Codestral is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; MiniMax-M3 lists at $0.30 and $1.20.

Is Codestral or MiniMax-M3 better for coding?

MiniMax-M3 scores higher on coding benchmarks: 41.8 versus 27.3 in the Noometry coding category.

Which has the bigger context window?

MiniMax-M3 does, with 1M tokens against 256K.

How many benchmarks do Codestral and MiniMax-M3 share?

1 benchmark has published results for both models. Codestral has 7 scored results on Noometry and MiniMax-M3 has 41.

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