Model comparison

Devstral Small 2505 vs MiniMax-M2

MiniMax-M2 is the stronger model overall, scoring 37.4 to 34.3 on the Noometry Index. Devstral Small 2505 costs 3.5× less per token, which makes it the better buy when MiniMax-M2's lead doesn't matter for your workload.

Last verified . 2 shared benchmarks.

Devstral Small 2505 Mistral AI

34.3

Rank #233 Reported

MiniMax-M2 MiniMax

37.4

Rank #204 Confirmed

Summary

  • They share 2 benchmarks with published results for both. Devstral Small 2505 scores higher in 1 category and MiniMax-M2 in 1 category, but none of those gaps is larger than the uncertainty.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 37.7% for Devstral Small 2505 and 57.8% for MiniMax-M2.
  • Devstral Small 2505 is cheaper at $0.10 / $0.30 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.
  • MiniMax-M2 accepts more context: 205K tokens versus 128K.

Side by side

Devstral Small 2505 and MiniMax-M2 specifications
Devstral Small 2505MiniMax-M2
ProviderMistral AIMiniMax
Noometry Index34.337.4
Released2025-05-072025-10-27
WeightsOpenOpen
Context window128K205K
Max output128K131K
Input $ / M tokens$0.10$0.30
Output $ / M tokens$0.30$1.20
Results tracked421

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Category by category

Coding Too close to call

Devstral Small 2505: 38.9 (#166), MiniMax-M2: 39.3 (#159)

Coding benchmarks
BenchmarkDevstral Small 2505MiniMax-M2
SWE-bench Verified (bash only)56.4%61%
LMArena WebDev—1297
SciCode28.8%—
LMArena Coding—1370

Agentic & Tool Use Not comparable

Devstral Small 2505: —, MiniMax-M2: 25.1 (#109)

Agentic & Tool Use benchmarks
BenchmarkDevstral Small 2505MiniMax-M2
Terminal-Bench—30%
Vending-Bench 2—160.6

Reasoning Too close to call

Devstral Small 2505: 19.7 (#252), MiniMax-M2: 19.4 (#258)

Reasoning benchmarks
BenchmarkDevstral Small 2505MiniMax-M2
Kagi LLM Benchmark37.7%57.8%
NYT Connections (extended)—14.8%
CritPt0%—
LMArena Hard Prompts—1357

Math Not comparable

Devstral Small 2505: —, MiniMax-M2: 37.3 (#160)

Math benchmarks
BenchmarkDevstral Small 2505MiniMax-M2
LMArena Math—1352

Knowledge Not comparable

Devstral Small 2505: —, MiniMax-M2: 37.0 (#163)

Knowledge benchmarks
BenchmarkDevstral Small 2505MiniMax-M2
LMArena Expert—1337

Multilingual Not comparable

Devstral Small 2505: —, MiniMax-M2: 45.3 (#171)

Multilingual benchmarks
BenchmarkDevstral Small 2505MiniMax-M2
LMArena Non-English—1313
LMArena Chinese—1366
LMArena French—1335
LMArena German—1355
LMArena Russian—1331
LMArena Spanish—1326

Instruction Following Not comparable

Devstral Small 2505: —, MiniMax-M2: 70.2 (#166)

Instruction Following benchmarks
BenchmarkDevstral Small 2505MiniMax-M2
LMArena Instruction Following—1328

Long Context Not comparable

Devstral Small 2505: —, MiniMax-M2: 40.5 (#153)

Long Context benchmarks
BenchmarkDevstral Small 2505MiniMax-M2
LMArena Longer Query—1331

Writing & Preference Not comparable

Devstral Small 2505: —, MiniMax-M2: 53.0 (#162)

Writing & Preference benchmarks
BenchmarkDevstral Small 2505MiniMax-M2
LMArena Text—1340
LMArena Creative Writing—1286
LMArena Multi-Turn—1361

Frequently asked questions

Is Devstral Small 2505 better than MiniMax-M2?

MiniMax-M2 is the stronger model overall, scoring 37.4 to 34.3 on the Noometry Index. Devstral Small 2505 costs 3.5× less per token, which makes it the better buy when MiniMax-M2's lead doesn't matter for your workload.

Which is cheaper, Devstral Small 2505 or MiniMax-M2?

Devstral Small 2505 is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; MiniMax-M2 lists at $0.30 and $1.20.

Is Devstral Small 2505 or MiniMax-M2 better for coding?

They score almost the same on coding (38.9 vs 39.3); test both on your own repository before choosing.

Which has the bigger context window?

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

How many benchmarks do Devstral Small 2505 and MiniMax-M2 share?

2 benchmarks have published results for both models. Devstral Small 2505 has 4 scored results on Noometry and MiniMax-M2 has 21.

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