Model comparison

MiniMax-M3 vs Mixtral 8x7B

MiniMax-M3 is the stronger model overall, scoring 43.8 to 27.1 on the Noometry Index.

Last verified October 10, 2026. 21 shared benchmarks.

MiniMax-M3

MiniMax

43.8

Rank #85 Confirmed

Mixtral 8x7B

Mistral AI

27.1

Rank #334 Confirmed

Summary

They share 21 benchmarks with published results for both. MiniMax-M3 scores higher in 8 categories and Mixtral 8x7B in 0 categories; 8 gaps are clear of the uncertainty.
The widest gap is in knowledge, where MiniMax-M3 leads 58.4 to 11.0.
The biggest single-benchmark swing is GPQA Diamond: 90.9% for MiniMax-M3 and 30.6% for Mixtral 8x7B.
MiniMax-M3 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.70 / $0.70 for Mixtral 8x7B.
MiniMax-M3 accepts more context: 1M tokens versus 32K.

Side by side

MiniMax-M3 and Mixtral 8x7B specifications
	MiniMax-M3	Mixtral 8x7B
Provider	MiniMax	Mistral AI
Noometry Index	43.8	27.1
Released	2026-06-01	2023-12-11
Weights	Open	Open
Context window	1M	32K
Max output	512K	32K
Input $ / M tokens	$0.30	$0.70
Output $ / M tokens	$1.20	$0.70
Results tracked	41	38

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Category by category

Coding MiniMax-M3 leads

MiniMax-M3: 41.8 (#118), Mixtral 8x7B: 32.8 (#269)

Coding benchmarks
Benchmark	MiniMax-M3	Mixtral 8x7B
LMArena Coding	1469	1126
FrontierCode	14.7%	—
LMArena WebDev	1482	—
SciCode	47.1%	—
ALE-Bench	640.02	—
HumanEval+	—	39.6%
MBPP+	—	49.7%

Agentic & Tool Use Not comparable

MiniMax-M3: 22.6 (#130), Mixtral 8x7B: —

Agentic & Tool Use benchmarks
Benchmark	MiniMax-M3	Mixtral 8x7B
APEX-Agents	37.7%	—
OSWorld 2.0	4.6%	—
GBAEval	0.9%	—
Vending-Bench 2	2,158	—

Reasoning MiniMax-M3 leads

MiniMax-M3: 30.1 (#87), Mixtral 8x7B: 18.2 (#285)

Reasoning benchmarks
Benchmark	MiniMax-M3	Mixtral 8x7B
LMArena Hard Prompts	1447	1115
DTBench	78.9%	49.6%
Epoch Capabilities Index	146.95	118.47
ForecastBench	61.4	56.3
SimpleBench	45.8%	—
NYT Connections (extended)	65.1%	—
CritPt	3.7%	—
Chess Puzzles	14%	—
Mystery Game Puzzles	8%	—
LMCA	33.7%	—
Surface Evolver Bench	55%	—
Adversarial NLI	—	55.2%
HellaSwag	—	86.7%
PIQA	—	83.6%
WinoGrande	—	77.2%

Math MiniMax-M3 leads

MiniMax-M3: 40.0 (#95), Mixtral 8x7B: 18.8 (#289)

Math benchmarks
Benchmark	MiniMax-M3	Mixtral 8x7B
LMArena Math	1429	1147
OTIS Mock AIME 2024-2025	71.1%	—
ProofBench	18%	—
Omni-MATH	—	10.5%
MATH Level 5	—	10%
GSM8K	—	74.4%

Knowledge MiniMax-M3 leads

MiniMax-M3: 58.4 (#35), Mixtral 8x7B: 11.0 (#301)

Knowledge benchmarks
Benchmark	MiniMax-M3	Mixtral 8x7B
GPQA Diamond	90.9%	30.6%
LMArena Expert	1461	1088
MMLU-Pro	—	33.5%
GPQA (HELM)	—	29.6%
ARC (AI2) Challenge	—	87.3%
MMLU	—	70.6%
OpenBookQA	—	85.8%
TriviaQA	—	82.2%

Multimodal Not comparable

MiniMax-M3: 40.2 (#51), Mixtral 8x7B: —

Multimodal benchmarks
Benchmark	MiniMax-M3	Mixtral 8x7B
LMArena Vision	1253	—
LMArena Document	1435	—

Multilingual MiniMax-M3 leads

MiniMax-M3: 53.0 (#75), Mixtral 8x7B: 29.6 (#266)

Multilingual benchmarks
Benchmark	MiniMax-M3	Mixtral 8x7B
LMArena Non-English	1420	1077
LMArena Chinese	1463	1055
LMArena French	1447	1166
LMArena German	1426	1114
LMArena Japanese	1381	931
LMArena Korean	1372	968
LMArena Russian	1428	1090
LMArena Spanish	1432	1111

Instruction Following MiniMax-M3 leads

MiniMax-M3: 75.5 (#62), Mixtral 8x7B: 51.0 (#297)

Instruction Following benchmarks
Benchmark	MiniMax-M3	Mixtral 8x7B
LMArena Instruction Following	1433	1109
IFEval	—	57.5%

Long Context MiniMax-M3 leads

MiniMax-M3: 44.2 (#72), Mixtral 8x7B: 33.4 (#260)

Long Context benchmarks
Benchmark	MiniMax-M3	Mixtral 8x7B
LMArena Longer Query	1445	1103

Writing & Preference MiniMax-M3 leads

MiniMax-M3: 62.1 (#83), Mixtral 8x7B: 34.2 (#270)

Writing & Preference benchmarks
Benchmark	MiniMax-M3	Mixtral 8x7B
LMArena Text	1433	1132
LMArena Creative Writing	1404	1109
LMArena Multi-Turn	1442	1115
WildBench	—	67.3%
EQ-Bench 4	1150	—

Frequently asked questions

Is MiniMax-M3 better than Mixtral 8x7B?

MiniMax-M3 is the stronger model overall, scoring 43.8 to 27.1 on the Noometry Index.

Which is cheaper, MiniMax-M3 or Mixtral 8x7B?

MiniMax-M3 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Mixtral 8x7B lists at $0.70 and $0.70.

Is MiniMax-M3 or Mixtral 8x7B better for coding?

MiniMax-M3 scores higher on coding benchmarks: 41.8 versus 32.8 in the Noometry coding category.

Which has the bigger context window?

MiniMax-M3 does, with 1M tokens against 32K.

How many benchmarks do MiniMax-M3 and Mixtral 8x7B share?

21 benchmarks have published results for both models. MiniMax-M3 has 41 scored results on Noometry and Mixtral 8x7B has 38.