Model comparison

Pixtral Large vs Qwen3.7 Plus

Qwen3.7 Plus is the stronger model overall, scoring 45.3 to 32.2 on the Noometry Index.

Last verified . 1 shared benchmarks.

Pixtral Large Mistral AI

32.2

Rank #259 Reported

Qwen3.7 Plus Alibaba (Qwen)

45.3

Rank #72 Confirmed

Summary

  • They share 1 benchmark with published results for both. Pixtral Large scores higher in 0 categories and Qwen3.7 Plus in 3 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Qwen3.7 Plus leads 64.3 to 32.9.
  • Qwen3.7 Plus is cheaper at $0.40 / $1.60 per million input/output tokens, against $2 / $6 for Pixtral Large.
  • Qwen3.7 Plus accepts more context: 1M tokens versus 128K.
  • Pixtral Large has downloadable open weights; the other is API-only.

Side by side

Pixtral Large and Qwen3.7 Plus specifications
Pixtral LargeQwen3.7 Plus
ProviderMistral AIAlibaba (Qwen)
Noometry Index32.245.3
Released2024-11-012026-06-02
WeightsOpenProprietary
Context window128K1M
Max output128K131K
Input $ / M tokens$2$0.40
Output $ / M tokens$6$1.60
Results tracked332

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Category by category

Coding Not comparable

Pixtral Large: —, Qwen3.7 Plus: 36.6 (#206)

Coding benchmarks
BenchmarkPixtral LargeQwen3.7 Plus
FrontierCode—10.2%
SciCode—45.5%
LMArena Coding—1473

Agentic & Tool Use Not comparable

Pixtral Large: —, Qwen3.7 Plus: 21.4 (#138)

Agentic & Tool Use benchmarks
BenchmarkPixtral LargeQwen3.7 Plus
OSWorld 2.0—2.8%

Reasoning Qwen3.7 Plus leads

Pixtral Large: 21.7 (#218), Qwen3.7 Plus: 39.3 (#59)

Reasoning benchmarks
BenchmarkPixtral LargeQwen3.7 Plus
NYT Connections (extended)—74.8%
CritPt—9.1%
Chess Puzzles—24%
EnigmaEval0.8%—
LMArena Hard Prompts—1460
Mystery Game Puzzles—17%
DTBench—84%
LMCA—37.6%
Epoch Capabilities Index—147.37

Math Not comparable

Pixtral Large: —, Qwen3.7 Plus: 50.5 (#56)

Math benchmarks
BenchmarkPixtral LargeQwen3.7 Plus
FrontierMath (Tiers 1-3)—34.4%
OTIS Mock AIME 2024-2025—93.3%
LMArena Math—1466

Knowledge Not comparable

Pixtral Large: —, Qwen3.7 Plus: 54.9 (#51)

Knowledge benchmarks
BenchmarkPixtral LargeQwen3.7 Plus
GPQA Diamond—87.9%
LMArena Expert—1467

Multimodal Qwen3.7 Plus leads

Pixtral Large: 30.6 (#111), Qwen3.7 Plus: 41.8 (#33)

Multimodal benchmarks
BenchmarkPixtral LargeQwen3.7 Plus
LMArena Vision10891279
LMArena Document—1444

Multilingual Not comparable

Pixtral Large: —, Qwen3.7 Plus: 54.8 (#38)

Multilingual benchmarks
BenchmarkPixtral LargeQwen3.7 Plus
LMArena Non-English—1445
LMArena Chinese—1510
LMArena French—1473
LMArena German—1471
LMArena Japanese—1413
LMArena Korean—1415
LMArena Russian—1457
LMArena Spanish—1457

Instruction Following Not comparable

Pixtral Large: —, Qwen3.7 Plus: 75.8 (#52)

Instruction Following benchmarks
BenchmarkPixtral LargeQwen3.7 Plus
LMArena Instruction Following—1440

Long Context Not comparable

Pixtral Large: —, Qwen3.7 Plus: 44.5 (#65)

Long Context benchmarks
BenchmarkPixtral LargeQwen3.7 Plus
LMArena Longer Query—1455

Writing & Preference Qwen3.7 Plus leads

Pixtral Large: 32.9 (#278), Qwen3.7 Plus: 64.3 (#56)

Writing & Preference benchmarks
BenchmarkPixtral LargeQwen3.7 Plus
LMArena Text—1455
LMArena Creative Writing—1439
EQ-Bench Creative Writing988—
LMArena Multi-Turn—1460

Frequently asked questions

Is Pixtral Large better than Qwen3.7 Plus?

Qwen3.7 Plus is the stronger model overall, scoring 45.3 to 32.2 on the Noometry Index.

Which is cheaper, Pixtral Large or Qwen3.7 Plus?

Qwen3.7 Plus is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; Pixtral Large lists at $2 and $6.

Which has the bigger context window?

Qwen3.7 Plus does, with 1M tokens against 128K.

How many benchmarks do Pixtral Large and Qwen3.7 Plus share?

1 benchmark has published results for both models. Pixtral Large has 3 scored results on Noometry and Qwen3.7 Plus has 32.

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