Model comparison

Magistral Medium vs MiniMax-M2

MiniMax-M2 is the stronger model overall, scoring 37.4 to 35.2 on the Noometry Index.

Last verified . 16 shared benchmarks.

Magistral Medium Mistral AI

35.2

Rank #227 Confirmed

MiniMax-M2 MiniMax

37.4

Rank #204 Confirmed

Summary

  • They share 16 benchmarks with published results for both. Magistral Medium scores higher in 0 categories and MiniMax-M2 in 8 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where MiniMax-M2 leads 19.4 to 8.6.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 16.2% for Magistral Medium and 57.8% for MiniMax-M2.
  • MiniMax-M2 is cheaper at $0.30 / $1.20 per million input/output tokens, against $2 / $5 for Magistral Medium.
  • Magistral Medium accepts more context: 262K tokens versus 205K.

Side by side

Magistral Medium and MiniMax-M2 specifications
Magistral MediumMiniMax-M2
ProviderMistral AIMiniMax
Noometry Index35.237.4
Released2025-03-172025-10-27
WeightsOpenOpen
Context window262K205K
Max output16K131K
Input $ / M tokens$2$0.30
Output $ / M tokens$5$1.20
Results tracked2221

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Category by category

Coding Too close to call

Magistral Medium: 39.1 (#161), MiniMax-M2: 39.3 (#159)

Coding benchmarks
BenchmarkMagistral MediumMiniMax-M2
LMArena Coding13191370
SWE-bench Verified (bash only)—61%
LMArena WebDev—1297
SciCode39.2%—

Agentic & Tool Use Not comparable

Magistral Medium: —, MiniMax-M2: 25.1 (#109)

Agentic & Tool Use benchmarks
BenchmarkMagistral MediumMiniMax-M2
Terminal-Bench—30%
Vending-Bench 2—160.6

Reasoning MiniMax-M2 leads

Magistral Medium: 8.6 (#348), MiniMax-M2: 19.4 (#258)

Reasoning benchmarks
BenchmarkMagistral MediumMiniMax-M2
Kagi LLM Benchmark16.2%57.8%
LMArena Hard Prompts12671357
ARC-AGI-20%—
NYT Connections (extended)—14.8%
ARC-AGI-16.1%—
CritPt0.3%—

Math MiniMax-M2 leads

Magistral Medium: 35.1 (#189), MiniMax-M2: 37.3 (#160)

Math benchmarks
BenchmarkMagistral MediumMiniMax-M2
LMArena Math12501352

Knowledge MiniMax-M2 leads

Magistral Medium: 33.5 (#202), MiniMax-M2: 37.0 (#163)

Knowledge benchmarks
BenchmarkMagistral MediumMiniMax-M2
LMArena Expert12231337

Multilingual MiniMax-M2 leads

Magistral Medium: 39.6 (#224), MiniMax-M2: 45.3 (#171)

Multilingual benchmarks
BenchmarkMagistral MediumMiniMax-M2
LMArena Non-English12321313
LMArena Chinese12271366
LMArena French12671335
LMArena German12481355
LMArena Russian12241331
LMArena Spanish12711326
LMArena Japanese1175—
LMArena Korean1125—

Instruction Following MiniMax-M2 leads

Magistral Medium: 66.0 (#211), MiniMax-M2: 70.2 (#166)

Instruction Following benchmarks
BenchmarkMagistral MediumMiniMax-M2
LMArena Instruction Following12541328

Long Context MiniMax-M2 leads

Magistral Medium: 39.3 (#183), MiniMax-M2: 40.5 (#153)

Long Context benchmarks
BenchmarkMagistral MediumMiniMax-M2
LMArena Longer Query12951331

Writing & Preference MiniMax-M2 leads

Magistral Medium: 46.3 (#219), MiniMax-M2: 53.0 (#162)

Writing & Preference benchmarks
BenchmarkMagistral MediumMiniMax-M2
LMArena Text12551340
LMArena Creative Writing12451286
LMArena Multi-Turn12751361

Frequently asked questions

Is Magistral Medium better than MiniMax-M2?

MiniMax-M2 is the stronger model overall, scoring 37.4 to 35.2 on the Noometry Index.

Which is cheaper, Magistral Medium or MiniMax-M2?

MiniMax-M2 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Magistral Medium lists at $2 and $5.

Is Magistral Medium or MiniMax-M2 better for coding?

They score almost the same on coding (39.1 vs 39.3); test both on your own repository before choosing.

Which has the bigger context window?

Magistral Medium does, with 262K tokens against 205K.

How many benchmarks do Magistral Medium and MiniMax-M2 share?

16 benchmarks have published results for both models. Magistral Medium has 22 scored results on Noometry and MiniMax-M2 has 21.

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