Model comparison

Magistral Small vs MiniMax-M2.7

MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 30.2 on the Noometry Index.

Last verified . 3 shared benchmarks.

Magistral Small Mistral AI

30.2

Rank #296 Confirmed

MiniMax-M2.7 MiniMax

37.7

Rank #196 Confirmed

Summary

  • They share 3 benchmarks with published results for both. Magistral Small scores higher in 1 category and MiniMax-M2.7 in 3 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where MiniMax-M2.7 leads 19.7 to 6.8.
  • The biggest single-benchmark swing is SciCode: 35.2% for Magistral Small and 47% for MiniMax-M2.7.
  • MiniMax-M2.7 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.50 / $1.50 for Magistral Small.
  • MiniMax-M2.7 accepts more context: 205K tokens versus 128K.

Side by side

Magistral Small and MiniMax-M2.7 specifications
Magistral SmallMiniMax-M2.7
ProviderMistral AIMiniMax
Noometry Index30.237.7
Released2025-06-102026-03-18
WeightsOpenOpen
Context window128K205K
Max output40K131K
Input $ / M tokens$0.50$0.30
Output $ / M tokens$1.50$1.20
Results tracked1030

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Category by category

Coding MiniMax-M2.7 leads

Magistral Small: 38.4 (#176), MiniMax-M2.7: 41.8 (#120)

Coding benchmarks
BenchmarkMagistral SmallMiniMax-M2.7
SciCode35.2%47%
LMArena WebDev—1398
WeirdML—37%
LMArena Coding—1454
ALE-Bench—599.25

Agentic & Tool Use Not comparable

Magistral Small: —, MiniMax-M2.7: 25.1 (#111)

Agentic & Tool Use benchmarks
BenchmarkMagistral SmallMiniMax-M2.7
Terminal-Bench—45.1%
ExploitBench—13.3%
GBAEval—0%

Reasoning MiniMax-M2.7 leads

Magistral Small: 6.8 (#350), MiniMax-M2.7: 19.7 (#253)

Reasoning benchmarks
BenchmarkMagistral SmallMiniMax-M2.7
CritPt0.3%0.6%
Epoch Capabilities Index133.19145.85
ARC-AGI-20%—
Kagi LLM Benchmark6.3%—
NYT Connections (extended)—24.7%
ARC-AGI-15%—
Chess Puzzles3%—
Thematic Generalization—39.3%
LMArena Hard Prompts—1422
DTBench61.3%—

Math Too close to call

Magistral Small: 26.2 (#261), MiniMax-M2.7: 25.9 (#263)

Math benchmarks
BenchmarkMagistral SmallMiniMax-M2.7
OTIS Mock AIME 2024-202530%—
ProofBench—3%
LMArena Math—1420

Knowledge MiniMax-M2.7 leads

Magistral Small: 30.9 (#223), MiniMax-M2.7: 37.7 (#152)

Knowledge benchmarks
BenchmarkMagistral SmallMiniMax-M2.7
GPQA Diamond56.1%—
Vectara Hallucination Rate—12.9%
LMArena Expert—1444

Multilingual Not comparable

Magistral Small: —, MiniMax-M2.7: 50.3 (#123)

Multilingual benchmarks
BenchmarkMagistral SmallMiniMax-M2.7
LMArena Non-English—1382
LMArena Chinese—1441
LMArena French—1421
LMArena German—1398
LMArena Japanese—1262
LMArena Korean—1313
LMArena Russian—1383
LMArena Spanish—1403

Instruction Following Not comparable

Magistral Small: —, MiniMax-M2.7: 74.1 (#103)

Instruction Following benchmarks
BenchmarkMagistral SmallMiniMax-M2.7
LMArena Instruction Following—1405

Long Context Not comparable

Magistral Small: —, MiniMax-M2.7: 43.3 (#99)

Long Context benchmarks
BenchmarkMagistral SmallMiniMax-M2.7
LMArena Longer Query—1419

Writing & Preference Not comparable

Magistral Small: —, MiniMax-M2.7: 58.9 (#112)

Writing & Preference benchmarks
BenchmarkMagistral SmallMiniMax-M2.7
LMArena Text—1405
LMArena Creative Writing—1354
LMArena Multi-Turn—1412

Frequently asked questions

Is Magistral Small better than MiniMax-M2.7?

MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 30.2 on the Noometry Index.

Which is cheaper, Magistral Small or MiniMax-M2.7?

MiniMax-M2.7 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Magistral Small lists at $0.50 and $1.50.

Is Magistral Small or MiniMax-M2.7 better for coding?

MiniMax-M2.7 scores higher on coding benchmarks: 41.8 versus 38.4 in the Noometry coding category.

Which has the bigger context window?

MiniMax-M2.7 does, with 205K tokens against 128K.

How many benchmarks do Magistral Small and MiniMax-M2.7 share?

3 benchmarks have published results for both models. Magistral Small has 10 scored results on Noometry and MiniMax-M2.7 has 30.

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