Model comparison

Mistral vs Qwen3.7 Plus

Qwen3.7 Plus is the stronger model overall, scoring 45.3 to 29.9 on the Noometry Index.

Last verified . 17 shared benchmarks.

Mistral Mistral AI

29.9

Rank #303 Confirmed

Qwen3.7 Plus Alibaba (Qwen)

45.3

Rank #72 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Mistral scores higher in 0 categories and Qwen3.7 Plus in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3.7 Plus leads 54.9 to 16.6.

Side by side

Mistral and Qwen3.7 Plus specifications
MistralQwen3.7 Plus
ProviderMistral AIAlibaba (Qwen)
Noometry Index29.945.3
Released—2026-06-02
WeightsProprietaryProprietary
Context window—1M
Max output—131K
Input $ / M tokens—$0.40
Output $ / M tokens—$1.60
Results tracked2232

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Category by category

Coding Qwen3.7 Plus leads

Mistral: 33.8 (#250), Qwen3.7 Plus: 36.6 (#206)

Coding benchmarks
BenchmarkMistralQwen3.7 Plus
LMArena Coding11621473
FrontierCode—10.2%
SciCode—45.5%

Agentic & Tool Use Not comparable

Mistral: —, Qwen3.7 Plus: 21.4 (#138)

Agentic & Tool Use benchmarks
BenchmarkMistralQwen3.7 Plus
OSWorld 2.0—2.8%

Reasoning Qwen3.7 Plus leads

Mistral: 22.2 (#200), Qwen3.7 Plus: 39.3 (#59)

Reasoning benchmarks
BenchmarkMistralQwen3.7 Plus
LMArena Hard Prompts11491460
NYT Connections (extended)—74.8%
CritPt—9.1%
Chess Puzzles—24%
Mystery Game Puzzles—17%
DTBench—84%
LMCA—37.6%
Epoch Capabilities Index—147.37

Math Qwen3.7 Plus leads

Mistral: 22.3 (#278), Qwen3.7 Plus: 50.5 (#56)

Math benchmarks
BenchmarkMistralQwen3.7 Plus
LMArena Math11801466
FrontierMath (Tiers 1-3)—34.4%
OTIS Mock AIME 2024-2025—93.3%
Omni-MATH7.2%—

Knowledge Qwen3.7 Plus leads

Mistral: 16.6 (#288), Qwen3.7 Plus: 54.9 (#51)

Knowledge benchmarks
BenchmarkMistralQwen3.7 Plus
LMArena Expert11251467
GPQA Diamond—87.9%
MMLU-Pro27.7%—
GPQA (HELM)30.3%—

Multimodal Not comparable

Mistral: —, Qwen3.7 Plus: 41.8 (#33)

Multimodal benchmarks
BenchmarkMistralQwen3.7 Plus
LMArena Vision—1279
LMArena Document—1444

Multilingual Qwen3.7 Plus leads

Mistral: 32.8 (#254), Qwen3.7 Plus: 54.8 (#38)

Multilingual benchmarks
BenchmarkMistralQwen3.7 Plus
LMArena Non-English11291445
LMArena Chinese11091510
LMArena French11801473
LMArena German11551471
LMArena Japanese10131413
LMArena Korean10321415
LMArena Russian11681457
LMArena Spanish11431457

Instruction Following Qwen3.7 Plus leads

Mistral: 52.6 (#288), Qwen3.7 Plus: 75.8 (#52)

Instruction Following benchmarks
BenchmarkMistralQwen3.7 Plus
LMArena Instruction Following11521440
IFEval56.8%—

Long Context Qwen3.7 Plus leads

Mistral: 35.0 (#245), Qwen3.7 Plus: 44.5 (#65)

Long Context benchmarks
BenchmarkMistralQwen3.7 Plus
LMArena Longer Query11531455

Writing & Preference Qwen3.7 Plus leads

Mistral: 37.0 (#260), Qwen3.7 Plus: 64.3 (#56)

Writing & Preference benchmarks
BenchmarkMistralQwen3.7 Plus
LMArena Text11651455
LMArena Creative Writing11581439
LMArena Multi-Turn11471460
WildBench66%—

Frequently asked questions

Is Mistral better than Qwen3.7 Plus?

Qwen3.7 Plus is the stronger model overall, scoring 45.3 to 29.9 on the Noometry Index.

Is Mistral or Qwen3.7 Plus better for coding?

Qwen3.7 Plus scores higher on coding benchmarks: 36.6 versus 33.8 in the Noometry coding category.

How many benchmarks do Mistral and Qwen3.7 Plus share?

17 benchmarks have published results for both models. Mistral has 22 scored results on Noometry and Qwen3.7 Plus has 32.

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