Model comparison

MiniMax M1 vs Mixtral 8x22B

MiniMax M1 is the stronger model overall, scoring 40.3 to 27.1 on the Noometry Index.

Last verified October 11, 2026. 17 shared benchmarks.

MiniMax M1

MiniMax

40.3

Rank #150 Confirmed

Mixtral 8x22B

Mistral AI

27.1

Rank #333 Confirmed

Summary

They share 17 benchmarks with published results for both. MiniMax M1 scores higher in 8 categories and Mixtral 8x22B in 0 categories; 8 gaps are clear of the uncertainty.
The widest gap is in knowledge, where MiniMax M1 leads 36.4 to 15.1.
MiniMax M1 is cheaper at $0.55 / $2.20 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
MiniMax M1 accepts more context: 1M tokens versus 64K.

Side by side

MiniMax M1 and Mixtral 8x22B specifications
	MiniMax M1	Mixtral 8x22B
Provider	MiniMax	Mistral AI
Noometry Index	40.3	27.1
Released	2025-06-13	2024-04-17
Weights	Open	Open
Context window	1M	64K
Max output	40K	64K
Input $ / M tokens	$0.55	$2
Output $ / M tokens	$2.20	$6
Results tracked	18	34

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Category by category

Coding MiniMax M1 leads

MiniMax M1: 39.9 (#153), Mixtral 8x22B: 24.2 (#329)

Coding benchmarks
Benchmark	MiniMax M1	Mixtral 8x22B
LMArena Coding	1359	1166
WeirdML	—	3.2%
BigCodeBench Instruct	—	40.6%
BigCodeBench Complete	—	50.2%
HumanEval+	—	72%
MBPP+	—	64.3%

Agentic & Tool Use Not comparable

MiniMax M1: —, Mixtral 8x22B: 23.1 (#127)

Agentic & Tool Use benchmarks
Benchmark	MiniMax M1	Mixtral 8x22B
Cybench	—	7.5%

Reasoning MiniMax M1 leads

MiniMax M1: 26.9 (#126), Mixtral 8x22B: 19.9 (#248)

Reasoning benchmarks
Benchmark	MiniMax M1	Mixtral 8x22B
LMArena Hard Prompts	1339	1150
DTBench	—	55.1%
Epoch Capabilities Index	—	122.03
ForecastBench	—	56.3

Math MiniMax M1 leads

MiniMax M1: 37.5 (#151), Mixtral 8x22B: 22.9 (#275)

Math benchmarks
Benchmark	MiniMax M1	Mixtral 8x22B
LMArena Math	1361	1184
Omni-MATH	—	16.3%
MATH Level 5	—	24.2%

Knowledge MiniMax M1 leads

MiniMax M1: 36.4 (#170), Mixtral 8x22B: 15.1 (#293)

Knowledge benchmarks
Benchmark	MiniMax M1	Mixtral 8x22B
LMArena Expert	1317	1113
GPQA Diamond	—	34.1%
MMLU-Pro	—	46%
GPQA (HELM)	—	33.4%
MMLU	—	77.8%

Multilingual MiniMax M1 leads

MiniMax M1: 45.8 (#163), Mixtral 8x22B: 32.8 (#255)

Multilingual benchmarks
Benchmark	MiniMax M1	Mixtral 8x22B
LMArena Non-English	1319	1128
LMArena Chinese	1360	1116
LMArena French	1370	1166
LMArena German	1350	1141
LMArena Japanese	1217	1037
LMArena Korean	1266	1057
LMArena Russian	1329	1158
LMArena Spanish	1353	1151

Instruction Following MiniMax M1 leads

MiniMax M1: 69.3 (#174), Mixtral 8x22B: 57.7 (#266)

Instruction Following benchmarks
Benchmark	MiniMax M1	Mixtral 8x22B
LMArena Instruction Following	1312	1147
IFEval	—	72.4%

Long Context MiniMax M1 leads

MiniMax M1: 41.4 (#141), Mixtral 8x22B: 34.7 (#247)

Long Context benchmarks
Benchmark	MiniMax M1	Mixtral 8x22B
LMArena Longer Query	1326	1144
Fiction.LiveBench	69.4%	—

Writing & Preference MiniMax M1 leads

MiniMax M1: 53.1 (#161), Mixtral 8x22B: 36.9 (#262)

Writing & Preference benchmarks
Benchmark	MiniMax M1	Mixtral 8x22B
LMArena Text	1343	1162
LMArena Creative Writing	1298	1141
LMArena Multi-Turn	1335	1130
WildBench	—	71.1%

Frequently asked questions

Is MiniMax M1 better than Mixtral 8x22B?

MiniMax M1 is the stronger model overall, scoring 40.3 to 27.1 on the Noometry Index.

Which is cheaper, MiniMax M1 or Mixtral 8x22B?

MiniMax M1 is cheaper. It lists at $0.55 per million input tokens and $2.20 per million output tokens; Mixtral 8x22B lists at $2 and $6.

Is MiniMax M1 or Mixtral 8x22B better for coding?

MiniMax M1 scores higher on coding benchmarks: 39.9 versus 24.2 in the Noometry coding category.

Which has the bigger context window?

MiniMax M1 does, with 1M tokens against 64K.

How many benchmarks do MiniMax M1 and Mixtral 8x22B share?

17 benchmarks have published results for both models. MiniMax M1 has 18 scored results on Noometry and Mixtral 8x22B has 34.