Model comparison

Devstral Small 2505 vs MiniMax-M2.1

MiniMax-M2.1 is the stronger model overall, scoring 38.9 to 34.3 on the Noometry Index. Devstral Small 2505 costs 3.5× less per token, which makes it the better buy when MiniMax-M2.1's lead doesn't matter for your workload.

Last verified October 11, 2026. 0 shared benchmarks.

Devstral Small 2505

Mistral AI

34.3

Rank #233 Reported

MiniMax-M2.1

MiniMax

38.9

Rank #178 Confirmed

Summary

The widest gap is in reasoning, where Devstral Small 2505 leads 19.7 to 16.6.
Devstral Small 2505 is cheaper at $0.10 / $0.30 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.1.
MiniMax-M2.1 accepts more context: 205K tokens versus 128K.

Side by side

Devstral Small 2505 and MiniMax-M2.1 specifications
	Devstral Small 2505	MiniMax-M2.1
Provider	Mistral AI	MiniMax
Noometry Index	34.3	38.9
Released	2025-05-07	2025-12-23
Weights	Open	Open
Context window	128K	205K
Max output	128K	131K
Input $ / M tokens	$0.10	$0.30
Output $ / M tokens	$0.30	$1.20
Results tracked	4	22

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Category by category

Coding MiniMax-M2.1 leads

Devstral Small 2505: 38.9 (#166), MiniMax-M2.1: 40.4 (#143)

Coding benchmarks
Benchmark	Devstral Small 2505	MiniMax-M2.1
SWE-bench Verified (bash only)	56.4%	—
LMArena WebDev	—	1384
SciCode	28.8%	—
LMArena Coding	—	1421
ALE-Bench	—	623.83

Agentic & Tool Use Not comparable

Devstral Small 2505: —, MiniMax-M2.1: 27.9 (#98)

Agentic & Tool Use benchmarks
Benchmark	Devstral Small 2505	MiniMax-M2.1
Terminal-Bench	—	36.6%

Reasoning Devstral Small 2505 leads

Devstral Small 2505: 19.7 (#252), MiniMax-M2.1: 16.6 (#302)

Reasoning benchmarks
Benchmark	Devstral Small 2505	MiniMax-M2.1
Kagi LLM Benchmark	37.7%	—
NYT Connections (extended)	—	11.2%
CritPt	0%	—
LMArena Hard Prompts	—	1411

Math Not comparable

Devstral Small 2505: —, MiniMax-M2.1: 38.3 (#138)

Math benchmarks
Benchmark	Devstral Small 2505	MiniMax-M2.1
LMArena Math	—	1397

Knowledge Not comparable

Devstral Small 2505: —, MiniMax-M2.1: 38.3 (#147)

Knowledge benchmarks
Benchmark	Devstral Small 2505	MiniMax-M2.1
Vectara Hallucination Rate	—	11.8%
LMArena Expert	—	1431

Multilingual Not comparable

Devstral Small 2505: —, MiniMax-M2.1: 50.0 (#128)

Multilingual benchmarks
Benchmark	Devstral Small 2505	MiniMax-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

Devstral Small 2505: —, MiniMax-M2.1: 73.8 (#112)

Instruction Following benchmarks
Benchmark	Devstral Small 2505	MiniMax-M2.1
LMArena Instruction Following	—	1400

Long Context Not comparable

Devstral Small 2505: —, MiniMax-M2.1: 43.2 (#101)

Long Context benchmarks
Benchmark	Devstral Small 2505	MiniMax-M2.1
LMArena Longer Query	—	1416

Writing & Preference Not comparable

Devstral Small 2505: —, MiniMax-M2.1: 58.3 (#120)

Writing & Preference benchmarks
Benchmark	Devstral Small 2505	MiniMax-M2.1
LMArena Text	—	1392
LMArena Creative Writing	—	1361
LMArena Multi-Turn	—	1396

Frequently asked questions

Is Devstral Small 2505 better than MiniMax-M2.1?

Which is cheaper, Devstral Small 2505 or MiniMax-M2.1?

Devstral Small 2505 is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; MiniMax-M2.1 lists at $0.30 and $1.20.

Is Devstral Small 2505 or MiniMax-M2.1 better for coding?

MiniMax-M2.1 scores higher on coding benchmarks: 40.4 versus 38.9 in the Noometry coding category.

Which has the bigger context window?

MiniMax-M2.1 does, with 205K tokens against 128K.

How many benchmarks do Devstral Small 2505 and MiniMax-M2.1 share?

0 benchmarks have published results for both models. Devstral Small 2505 has 4 scored results on Noometry and MiniMax-M2.1 has 22.