Model comparison

Mistral Nemo vs Qwen3 Max

Qwen3 Max is the stronger model overall, scoring 43.7 to 26.4 on the Noometry Index. Mistral Nemo costs 16× less per token, which makes it the better buy when Qwen3 Max's lead doesn't matter for your workload.

Last verified . 4 shared benchmarks.

Mistral Nemo Mistral AI

26.4

Rank #337 Confirmed

Qwen3 Max Alibaba (Qwen)

43.7

Rank #87 Confirmed

Summary

  • They share 4 benchmarks with published results for both. Mistral Nemo scores higher in 0 categories and Qwen3 Max in 4 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3 Max leads 48.1 to 12.3.
  • The biggest single-benchmark swing is MATH Level 5: 10.8% for Mistral Nemo and 97.1% for Qwen3 Max.
  • Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $1.20 / $6 for Qwen3 Max.
  • Qwen3 Max accepts more context: 262K tokens versus 128K.
  • Mistral Nemo has downloadable open weights; the other is API-only.

Side by side

Mistral Nemo and Qwen3 Max specifications
Mistral NemoQwen3 Max
ProviderMistral AIAlibaba (Qwen)
Noometry Index26.443.7
Released2024-07-012025-09-23
WeightsOpenProprietary
Context window128K262K
Max output128K66K
Input $ / M tokens$0.15$1.20
Output $ / M tokens$0.15$6
Results tracked1033

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Category by category

Coding Not comparable

Mistral Nemo: —, Qwen3 Max: 43.0 (#93)

Coding benchmarks
BenchmarkMistral NemoQwen3 Max
LMArena Coding—1456
ALE-Bench—370.45

Agentic & Tool Use Not comparable

Mistral Nemo: 23.5 (#125), Qwen3 Max: —

Agentic & Tool Use benchmarks
BenchmarkMistral NemoQwen3 Max
Berkeley Function Calling Leaderboard27.6%—
BALROG17.6%—
Vending-Bench 2—71.56

Reasoning Qwen3 Max leads

Mistral Nemo: 20.7 (#232), Qwen3 Max: 22.6 (#190)

Reasoning benchmarks
BenchmarkMistral NemoQwen3 Max
DTBench48.6%82.1%
Epoch Capabilities Index118.68142.38
Kagi LLM Benchmark—72.5%
NYT Connections (extended)—30.1%
Chess Puzzles—4%
LMArena Hard Prompts—1448
Mystery Game Puzzles—5%
LMCA—28.3%
PIQA83.5%—

Math Qwen3 Max leads

Mistral Nemo: 25.5 (#268), Qwen3 Max: 38.7 (#131)

Math benchmarks
BenchmarkMistral NemoQwen3 Max
MATH Level 510.8%97.1%
FrontierMath (Tiers 1-3)—18.9%
OTIS Mock AIME 2024-2025—73.3%
LMArena Math—1446
GSM8K84.2%—

Knowledge Qwen3 Max leads

Mistral Nemo: 12.3 (#298), Qwen3 Max: 48.1 (#78)

Knowledge benchmarks
BenchmarkMistral NemoQwen3 Max
GPQA Diamond29.9%72.6%
SimpleQA Verified—48.7%
LMArena Expert—1455
BoolQ82.5%—

Multilingual Not comparable

Mistral Nemo: —, Qwen3 Max: 53.7 (#62)

Multilingual benchmarks
BenchmarkMistral NemoQwen3 Max
LMArena Non-English—1429
LMArena Chinese—1478
LMArena French—1449
LMArena German—1463
LMArena Japanese—1397
LMArena Korean—1399
LMArena Russian—1428
LMArena Spanish—1462

Instruction Following Not comparable

Mistral Nemo: —, Qwen3 Max: 74.8 (#87)

Instruction Following benchmarks
BenchmarkMistral NemoQwen3 Max
LMArena Instruction Following—1419

Long Context Not comparable

Mistral Nemo: —, Qwen3 Max: 41.6 (#134)

Long Context benchmarks
BenchmarkMistral NemoQwen3 Max
Fiction.LiveBench—66.7%
CL-bench—14.5%
LMArena Longer Query—1438

Writing & Preference Qwen3 Max leads

Mistral Nemo: 28.5 (#296), Qwen3 Max: 62.4 (#76)

Writing & Preference benchmarks
BenchmarkMistral NemoQwen3 Max
LMArena Text—1439
LMArena Creative Writing—1402
EQ-Bench Creative Writing881—
LMArena Multi-Turn—1446

Frequently asked questions

Is Mistral Nemo better than Qwen3 Max?

Qwen3 Max is the stronger model overall, scoring 43.7 to 26.4 on the Noometry Index. Mistral Nemo costs 16× less per token, which makes it the better buy when Qwen3 Max's lead doesn't matter for your workload.

Which is cheaper, Mistral Nemo or Qwen3 Max?

Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; Qwen3 Max lists at $1.20 and $6.

Which has the bigger context window?

Qwen3 Max does, with 262K tokens against 128K.

How many benchmarks do Mistral Nemo and Qwen3 Max share?

4 benchmarks have published results for both models. Mistral Nemo has 10 scored results on Noometry and Qwen3 Max has 33.

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