Model comparison

MiniMax-M2.1 vs Mistral Large

MiniMax-M2.1 is the stronger model overall, scoring 38.9 to 31.9 on the Noometry Index.

Last verified October 10, 2026. 19 shared benchmarks.

MiniMax-M2.1

MiniMax

38.9

Rank #178 Confirmed

Mistral Large

Mistral AI

31.9

Rank #263 Confirmed

Summary

They share 19 benchmarks with published results for both. MiniMax-M2.1 scores higher in 8 categories and Mistral Large in 1 category; 7 gaps are clear of the uncertainty.
The widest gap is in math, where MiniMax-M2.1 leads 38.3 to 18.2.
The biggest single-benchmark swing is Vectara Hallucination Rate: 11.8% for MiniMax-M2.1 and 4.5% for Mistral Large.
MiniMax-M2.1 is cheaper at $0.30 / $1.20 per million input/output tokens, against $2 / $6 for Mistral Large.
MiniMax-M2.1 accepts more context: 205K tokens versus 131K.

Side by side

MiniMax-M2.1 and Mistral Large specifications
	MiniMax-M2.1	Mistral Large
Provider	MiniMax	Mistral AI
Noometry Index	38.9	31.9
Released	2025-12-23	2024-02-26
Weights	Open	Open
Context window	205K	131K
Max output	131K	16K
Input $ / M tokens	$0.30	$2
Output $ / M tokens	$1.20	$6
Results tracked	22	51

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Category by category

Coding MiniMax-M2.1 leads

MiniMax-M2.1: 40.4 (#143), Mistral Large: 34.3 (#240)

Coding benchmarks
Benchmark	MiniMax-M2.1	Mistral Large
LMArena Coding	1421	1277
ALE-Bench	623.83	264.7
LMArena WebDev	1384	—
SciCode	—	36.2%
BigCodeBench Instruct	—	30%
LiveBench Coding	—	47.1%
BigCodeBench Complete	—	38.3%
HumanEval+	—	62.2%
MBPP+	—	59.5%

Agentic & Tool Use Too close to call

MiniMax-M2.1: 27.9 (#98), Mistral Large: 28.6 (#89)

Agentic & Tool Use benchmarks
Benchmark	MiniMax-M2.1	Mistral Large
Terminal-Bench	36.6%	—
Berkeley Function Calling Leaderboard	—	38.4%

Reasoning Too close to call

MiniMax-M2.1: 16.6 (#302), Mistral Large: 15.8 (#310)

Reasoning benchmarks
Benchmark	MiniMax-M2.1	Mistral Large
LMArena Hard Prompts	1411	1257
SimpleBench	—	22.5%
NYT Connections (extended)	11.2%	—
CritPt	—	0%
LiveBench Reasoning	—	43.5%
DTBench	—	65.1%
LiveBench Data Analysis	—	50.1%
LMCA	—	16.7%
Epoch Capabilities Index	—	128.52
ForecastBench	—	57.1
LiveBench	—	48.4%

Math MiniMax-M2.1 leads

MiniMax-M2.1: 38.3 (#138), Mistral Large: 18.2 (#291)

Math benchmarks
Benchmark	MiniMax-M2.1	Mistral Large
LMArena Math	1397	1262
OTIS Mock AIME 2024-2025	—	8.5%
Omni-MATH	—	28.1%
LiveBench Math	—	42.5%
MATH Level 5	—	50.3%
FrontierMath (Feb 2025 set)	—	0.3%

Knowledge MiniMax-M2.1 leads

MiniMax-M2.1: 38.3 (#147), Mistral Large: 30.1 (#230)

Knowledge benchmarks
Benchmark	MiniMax-M2.1	Mistral Large
Vectara Hallucination Rate	11.8%	4.5%
LMArena Expert	1431	1232
GPQA Diamond	—	51.3%
MMLU-Pro	—	59.9%
Confabulations	—	21.4%
GPQA (HELM)	—	43.5%
MMLU	—	80%

Multilingual MiniMax-M2.1 leads

MiniMax-M2.1: 50.0 (#128), Mistral Large: 40.0 (#219)

Multilingual benchmarks
Benchmark	MiniMax-M2.1	Mistral Large
LMArena Non-English	1378	1237
LMArena Chinese	1430	1240
LMArena French	1404	1325
LMArena German	1381	1254
LMArena Japanese	1287	1188
LMArena Korean	1298	1202
LMArena Russian	1387	1257
LMArena Spanish	1397	1268

Instruction Following MiniMax-M2.1 leads

MiniMax-M2.1: 73.8 (#112), Mistral Large: 67.9 (#191)

Instruction Following benchmarks
Benchmark	MiniMax-M2.1	Mistral Large
LMArena Instruction Following	1400	1249
LiveBench Instruction Following	—	67.9%
IFEval	—	87.7%

Long Context MiniMax-M2.1 leads

MiniMax-M2.1: 43.2 (#101), Mistral Large: 38.3 (#199)

Long Context benchmarks
Benchmark	MiniMax-M2.1	Mistral Large
LMArena Longer Query	1416	1261

Writing & Preference MiniMax-M2.1 leads

MiniMax-M2.1: 58.3 (#120), Mistral Large: 40.7 (#242)

Writing & Preference benchmarks
Benchmark	MiniMax-M2.1	Mistral Large
LMArena Text	1392	1266
LMArena Creative Writing	1361	1243
LMArena Multi-Turn	1396	1260
Short-Story Creative Writing	—	69%
EQ-Bench Creative Writing	—	985
WildBench	—	80.1%
LiveBench Language	—	39.4%

Frequently asked questions

Is MiniMax-M2.1 better than Mistral Large?

MiniMax-M2.1 is the stronger model overall, scoring 38.9 to 31.9 on the Noometry Index.

Which is cheaper, MiniMax-M2.1 or Mistral Large?

MiniMax-M2.1 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Mistral Large lists at $2 and $6.

Is MiniMax-M2.1 or Mistral Large better for coding?

MiniMax-M2.1 scores higher on coding benchmarks: 40.4 versus 34.3 in the Noometry coding category.

Which has the bigger context window?

MiniMax-M2.1 does, with 205K tokens against 131K.

How many benchmarks do MiniMax-M2.1 and Mistral Large share?

19 benchmarks have published results for both models. MiniMax-M2.1 has 22 scored results on Noometry and Mistral Large has 51.