Model comparison

MiniMax-M2.7 vs Mistral Small 3.1

MiniMax-M2.7 is the stronger model overall, scoring 37.4 to 31.4 on the Noometry Index.

Last verified October 10, 2026. 18 shared benchmarks.

MiniMax-M2.7

MiniMax

37.4

Rank #188 Confirmed

Mistral Small 3.1

Mistral AI

31.4

Rank #263 Confirmed

Summary

They share 18 benchmarks with published results for both. MiniMax-M2.7 scores higher in 8 categories and Mistral Small 3.1 in 0 categories; 7 gaps are clear of the uncertainty.
The widest gap is in writing & preference, where MiniMax-M2.7 leads 59.1 to 37.2.
Mistral Small 3.1 is cheaper at $0.35 / $0.56 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.7.
MiniMax-M2.7 accepts more context: 205K tokens versus 128K.

Side by side

MiniMax-M2.7 and Mistral Small 3.1 specifications
	MiniMax-M2.7	Mistral Small 3.1
Provider	MiniMax	Mistral AI
Noometry Index	37.4	31.4
Released	2026-03-18	2025-03-17
Weights	Open	Open
Context window	205K	128K
Max output	131K	102K
Input $ / M tokens	$0.30	$0.35
Output $ / M tokens	$1.20	$0.56
Results tracked	30	28

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding MiniMax-M2.7 leads

MiniMax-M2.7: 41.4 (#115), Mistral Small 3.1: 37.7 (#175)

Coding benchmarks
Benchmark	MiniMax-M2.7	Mistral Small 3.1
LMArena Coding	1454	1309
LMArena WebDev	1397	—
SciCode	47%	—
WeirdML	37%	—
ALE-Bench	599.25	—

Agentic & Tool Use Not comparable

MiniMax-M2.7: 24.9 (#103), Mistral Small 3.1: —

Agentic & Tool Use benchmarks
Benchmark	MiniMax-M2.7	Mistral Small 3.1
Terminal-Bench	45.1%	—
ExploitBench	13.3%	—
GBAEval	0%	—

Reasoning Too close to call

MiniMax-M2.7: 19.0 (#248), Mistral Small 3.1: 18.9 (#249)

Reasoning benchmarks
Benchmark	MiniMax-M2.7	Mistral Small 3.1
LMArena Hard Prompts	1422	1278
Epoch Capabilities Index	145.84	127.48
NYT Connections (extended)	24.7%	—
CritPt	0.6%	—
Chess Puzzles	—	1%
Thematic Generalization	39.3%	—

Math MiniMax-M2.7 leads

MiniMax-M2.7: 24.9 (#254), Mistral Small 3.1: 13.7 (#295)

Math benchmarks
Benchmark	MiniMax-M2.7	Mistral Small 3.1
LMArena Math	1420	1261
OTIS Mock AIME 2024-2025	—	3.9%
ProofBench	3%	—
Omni-MATH	—	24.8%

Knowledge MiniMax-M2.7 leads

MiniMax-M2.7: 37.1 (#151), Mistral Small 3.1: 22.6 (#266)

Knowledge benchmarks
Benchmark	MiniMax-M2.7	Mistral Small 3.1
LMArena Expert	1443	1258
GPQA Diamond	—	41.9%
MMLU-Pro	—	61%
Vectara Hallucination Rate	12.9%	—
GPQA (HELM)	—	39.2%

Multimodal Not comparable

MiniMax-M2.7: —, Mistral Small 3.1: 32.6 (#93)

Multimodal benchmarks
Benchmark	MiniMax-M2.7	Mistral Small 3.1
LMArena Vision	—	1136

Multilingual MiniMax-M2.7 leads

MiniMax-M2.7: 50.5 (#120), Mistral Small 3.1: 41.4 (#204)

Multilingual benchmarks
Benchmark	MiniMax-M2.7	Mistral Small 3.1
LMArena Non-English	1382	1255
LMArena Chinese	1439	1254
LMArena French	1422	1270
LMArena German	1398	1266
LMArena Japanese	1261	1210
LMArena Korean	1313	1206
LMArena Russian	1383	1263
LMArena Spanish	1403	1283

Instruction Following MiniMax-M2.7 leads

MiniMax-M2.7: 74.2 (#101), Mistral Small 3.1: 63.8 (#225)

Instruction Following benchmarks
Benchmark	MiniMax-M2.7	Mistral Small 3.1
LMArena Instruction Following	1404	1264
IFEval	—	75%

Long Context MiniMax-M2.7 leads

MiniMax-M2.7: 43.3 (#94), Mistral Small 3.1: 39.5 (#172)

Long Context benchmarks
Benchmark	MiniMax-M2.7	Mistral Small 3.1
LMArena Longer Query	1419	1300

Writing & Preference MiniMax-M2.7 leads

MiniMax-M2.7: 59.1 (#107), Mistral Small 3.1: 37.2 (#254)

Writing & Preference benchmarks
Benchmark	MiniMax-M2.7	Mistral Small 3.1
LMArena Text	1404	1278
LMArena Creative Writing	1354	1253
LMArena Multi-Turn	1413	1270
EQ-Bench Creative Writing	—	761
WildBench	—	78.8%

Frequently asked questions

Is MiniMax-M2.7 better than Mistral Small 3.1?

MiniMax-M2.7 is the stronger model overall, scoring 37.4 to 31.4 on the Noometry Index.

Which is cheaper, MiniMax-M2.7 or Mistral Small 3.1?

Mistral Small 3.1 is cheaper. It lists at $0.35 per million input tokens and $0.56 per million output tokens; MiniMax-M2.7 lists at $0.30 and $1.20.

Is MiniMax-M2.7 or Mistral Small 3.1 better for coding?

MiniMax-M2.7 scores higher on coding benchmarks: 41.4 versus 37.7 in the Noometry coding category.

Which has the bigger context window?

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

How many benchmarks do MiniMax-M2.7 and Mistral Small 3.1 share?

18 benchmarks have published results for both models. MiniMax-M2.7 has 30 scored results on Noometry and Mistral Small 3.1 has 28.