Model comparison

Mistral Nemo vs Qwen Max

Qwen Max is the stronger model overall, scoring 34.7 to 26.4 on the Noometry Index. Mistral Nemo costs 19× less per token, which makes it the better buy when Qwen Max's lead doesn't matter for your workload.

Last verified October 11, 2026. 2 shared benchmarks.

Mistral Nemo

Mistral AI

26.4

Rank #337 Confirmed

Qwen Max

Alibaba (Qwen)

34.7

Rank #230 Confirmed

Summary

They share 2 benchmarks with published results for both. Mistral Nemo scores higher in 1 category and Qwen Max in 3 categories; 4 gaps are clear of the uncertainty.
The widest gap is in writing & preference, where Qwen Max leads 47.8 to 28.5.
The biggest single-benchmark swing is MATH Level 5: 10.8% for Mistral Nemo and 67.2% for Qwen Max.
Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $1.60 / $6.40 for Qwen Max.
Mistral Nemo accepts more context: 128K tokens versus 33K.
Mistral Nemo has downloadable open weights; the other is API-only.

Side by side

Mistral Nemo and Qwen Max specifications
	Mistral Nemo	Qwen Max
Provider	Mistral AI	Alibaba (Qwen)
Noometry Index	26.4	34.7
Released	2024-07-01	2024-04-03
Weights	Open	Proprietary
Context window	128K	33K
Max output	128K	8K
Input $ / M tokens	$0.15	$1.60
Output $ / M tokens	$0.15	$6.40
Results tracked	10	23

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Category by category

Coding Not comparable

Mistral Nemo: —, Qwen Max: 30.7 (#292)

Coding benchmarks
Benchmark	Mistral Nemo	Qwen Max
Aider Polyglot	—	21.8%
LMArena Coding	—	1288

Agentic & Tool Use Not comparable

Mistral Nemo: 23.5 (#125), Qwen Max: —

Agentic & Tool Use benchmarks
Benchmark	Mistral Nemo	Qwen Max
Berkeley Function Calling Leaderboard	27.6%	—
BALROG	17.6%	—

Reasoning Qwen Max leads

Mistral Nemo: 20.7 (#232), Qwen Max: 25.1 (#151)

Reasoning benchmarks
Benchmark	Mistral Nemo	Qwen Max
LMArena Hard Prompts	—	1269
DTBench	48.6%	—
Epoch Capabilities Index	118.68	—
PIQA	83.5%	—

Math Mistral Nemo leads

Mistral Nemo: 25.5 (#268), Qwen Max: 22.3 (#276)

Math benchmarks
Benchmark	Mistral Nemo	Qwen Max
MATH Level 5	10.8%	67.2%
OTIS Mock AIME 2024-2025	—	16.1%
LMArena Math	—	1275
FrontierMath (Feb 2025 set)	—	1%
GSM8K	84.2%	—

Knowledge Qwen Max leads

Mistral Nemo: 12.3 (#298), Qwen Max: 30.3 (#228)

Knowledge benchmarks
Benchmark	Mistral Nemo	Qwen Max
GPQA Diamond	29.9%	56.1%
LMArena Expert	—	1248
BoolQ	82.5%	—

Multilingual Not comparable

Mistral Nemo: —, Qwen Max: 41.8 (#202)

Multilingual benchmarks
Benchmark	Mistral Nemo	Qwen Max
LMArena Non-English	—	1263
LMArena Chinese	—	1254
LMArena French	—	1330
LMArena German	—	1254
LMArena Japanese	—	1205
LMArena Korean	—	1142
LMArena Russian	—	1274
LMArena Spanish	—	1290

Instruction Following Not comparable

Mistral Nemo: —, Qwen Max: 66.5 (#208)

Instruction Following benchmarks
Benchmark	Mistral Nemo	Qwen Max
LMArena Instruction Following	—	1262

Long Context Not comparable

Mistral Nemo: —, Qwen Max: 39.4 (#180)

Long Context benchmarks
Benchmark	Mistral Nemo	Qwen Max
Fiction.LiveBench	—	66.7%
LMArena Longer Query	—	1288

Writing & Preference Qwen Max leads

Mistral Nemo: 28.5 (#296), Qwen Max: 47.8 (#205)

Writing & Preference benchmarks
Benchmark	Mistral Nemo	Qwen Max
LMArena Text	—	1282
LMArena Creative Writing	—	1248
EQ-Bench Creative Writing	881	—
LMArena Multi-Turn	—	1277

Frequently asked questions

Is Mistral Nemo better than Qwen Max?

Which is cheaper, Mistral Nemo or Qwen Max?

Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; Qwen Max lists at $1.60 and $6.40.

Which has the bigger context window?

Mistral Nemo does, with 128K tokens against 33K.

How many benchmarks do Mistral Nemo and Qwen Max share?

2 benchmarks have published results for both models. Mistral Nemo has 10 scored results on Noometry and Qwen Max has 23.