Model comparison

Pixtral Large vs Qwen3.6 Plus

Qwen3.6 Plus is the stronger model overall, scoring 47.3 to 31.7 on the Noometry Index.

Last verified . 0 shared benchmarks.

Pixtral Large Mistral AI

31.7

Rank #257 Reported

Qwen3.6 Plus Alibaba (Qwen)

47.3

Rank #54 Confirmed

Summary

  • The widest gap is in writing & preference, where Qwen3.6 Plus leads 62.4 to 32.9.
  • Qwen3.6 Plus is cheaper at $0.50 / $3 per million input/output tokens, against $2 / $6 for Pixtral Large.
  • Qwen3.6 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 Qwen3.6 Plus specifications
Pixtral LargeQwen3.6 Plus
ProviderMistral AIAlibaba (Qwen)
Noometry Index31.747.3
Released2024-11-012026-03-31
WeightsOpenProprietary
Context window128K1M
Max output128K66K
Input $ / M tokens$2$0.50
Output $ / M tokens$6$3
Results tracked337

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Category by category

Coding Not comparable

Pixtral Large: —, Qwen3.6 Plus: 40.6 (#125)

Coding benchmarks
BenchmarkPixtral LargeQwen3.6 Plus
SWE-bench Verified—57.9%
LMArena WebDev—1461
SciCode—40.7%
LMArena Coding—1467
ALE-Bench—670.15

Agentic & Tool Use Not comparable

Pixtral Large: —, Qwen3.6 Plus: —

Agentic & Tool Use benchmarks
BenchmarkPixtral LargeQwen3.6 Plus
Vending-Bench 2—5,115

Reasoning Qwen3.6 Plus leads

Pixtral Large: 20.9 (#208), Qwen3.6 Plus: 28.5 (#89)

Reasoning benchmarks
BenchmarkPixtral LargeQwen3.6 Plus
NYT Connections (extended)—60.3%
CritPt—2.9%
Chess Puzzles—17%
EnigmaEval0.8%—
Thematic Generalization—59.5%
LMArena Hard Prompts—1449
Mystery Game Puzzles—12%
DTBench—81.9%
LMCA—33.1%
Epoch Capabilities Index—147.67

Math Not comparable

Pixtral Large: —, Qwen3.6 Plus: 50.6 (#44)

Math benchmarks
BenchmarkPixtral LargeQwen3.6 Plus
FrontierMath (Tiers 1-3)—38.2%
OTIS Mock AIME 2024-2025—93.3%
LMArena Math—1450
FrontierMath (Feb 2025 set)—26.2%
FrontierMath Tier 4 (v1)—8.3%

Knowledge Not comparable

Pixtral Large: —, Qwen3.6 Plus: 56.1 (#40)

Knowledge benchmarks
BenchmarkPixtral LargeQwen3.6 Plus
GPQA Diamond—88.4%
SimpleQA Verified—44.1%
LMArena Expert—1456

Multimodal Not comparable

Pixtral Large: 30.0 (#105), Qwen3.6 Plus: —

Multimodal benchmarks
BenchmarkPixtral LargeQwen3.6 Plus
LMArena Vision1089—

Multilingual Not comparable

Pixtral Large: —, Qwen3.6 Plus: 53.5 (#66)

Multilingual benchmarks
BenchmarkPixtral LargeQwen3.6 Plus
LMArena Non-English—1424
LMArena Chinese—1478
LMArena French—1454
LMArena German—1451
LMArena Japanese—1389
LMArena Korean—1381
LMArena Russian—1434
LMArena Spanish—1432

Instruction Following Not comparable

Pixtral Large: —, Qwen3.6 Plus: 75.2 (#70)

Instruction Following benchmarks
BenchmarkPixtral LargeQwen3.6 Plus
LMArena Instruction Following—1425

Long Context Not comparable

Pixtral Large: —, Qwen3.6 Plus: 45.1 (#48)

Long Context benchmarks
BenchmarkPixtral LargeQwen3.6 Plus
CL-bench—20.3%
LMArena Longer Query—1440

Writing & Preference Qwen3.6 Plus leads

Pixtral Large: 32.9 (#273), Qwen3.6 Plus: 62.4 (#78)

Writing & Preference benchmarks
BenchmarkPixtral LargeQwen3.6 Plus
LMArena Text—1437
LMArena Creative Writing—1405
EQ-Bench Creative Writing988—
LMArena Multi-Turn—1438

Frequently asked questions

Is Pixtral Large better than Qwen3.6 Plus?

Qwen3.6 Plus is the stronger model overall, scoring 47.3 to 31.7 on the Noometry Index.

Which is cheaper, Pixtral Large or Qwen3.6 Plus?

Qwen3.6 Plus is cheaper. It lists at $0.50 per million input tokens and $3 per million output tokens; Pixtral Large lists at $2 and $6.

Which has the bigger context window?

Qwen3.6 Plus does, with 1M tokens against 128K.

How many benchmarks do Pixtral Large and Qwen3.6 Plus share?

0 benchmarks have published results for both models. Pixtral Large has 3 scored results on Noometry and Qwen3.6 Plus has 37.

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