Model comparison

Pixtral Large vs Qwen3.8 Max

Qwen3.8 Max is the stronger model overall, scoring 56.8 to 32.2 on the Noometry Index.

Last verified . 1 shared benchmarks.

Pixtral Large Mistral AI

32.2

Rank #259 Reported

Qwen3.8 Max Alibaba (Qwen)

56.8

Rank #22 Confirmed

Summary

  • They share 1 benchmark with published results for both. Pixtral Large scores higher in 0 categories and Qwen3.8 Max in 3 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Qwen3.8 Max leads 67.1 to 32.9.
  • Both cost about the same: $2 input and $6 output per million tokens.
  • Qwen3.8 Max accepts more context: 1M tokens versus 128K.
  • Pixtral Large has downloadable open weights; the other is API-only.

Side by side

Pixtral Large and Qwen3.8 Max specifications
Pixtral LargeQwen3.8 Max
ProviderMistral AIAlibaba (Qwen)
Noometry Index32.256.8
Released2024-11-012026-08-02
WeightsOpenProprietary
Context window128K1M
Max output128K131K
Input $ / M tokens$2$2
Output $ / M tokens$6$6
Results tracked339

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Category by category

Coding Not comparable

Pixtral Large: —, Qwen3.8 Max: 53.5 (#29)

Coding benchmarks
BenchmarkPixtral LargeQwen3.8 Max
DeepSWE—57.5%
LMArena WebDev—1674
FrontierSWE—17.8%
SciCode—53.2%
LMArena Coding—1502

Agentic & Tool Use Not comparable

Pixtral Large: —, Qwen3.8 Max: 45.4 (#14)

Agentic & Tool Use benchmarks
BenchmarkPixtral LargeQwen3.8 Max
APEX-Agents—63.3%
τ²-bench Banking—55.1%
GDP.pdf—23.2%

Reasoning Qwen3.8 Max leads

Pixtral Large: 21.7 (#218), Qwen3.8 Max: 54.4 (#26)

Reasoning benchmarks
BenchmarkPixtral LargeQwen3.8 Max
NYT Connections (extended)—88.3%
CritPt—20%
Chess Puzzles—40%
EnigmaEval0.8%—
LMArena Hard Prompts—1496
Mystery Game Puzzles—38%
DTBench—92%
LMCA—46.2%
Epoch Capabilities Index—156.41

Math Not comparable

Pixtral Large: —, Qwen3.8 Max: 73.2 (#20)

Math benchmarks
BenchmarkPixtral LargeQwen3.8 Max
FrontierMath (Tiers 1-3)—74.7%
FrontierMath Tier 4—46.3%
OTIS Mock AIME 2024-2025—100%
ProofBench—58%
LMArena Math—1499

Knowledge Not comparable

Pixtral Large: —, Qwen3.8 Max: 61.7 (#27)

Knowledge benchmarks
BenchmarkPixtral LargeQwen3.8 Max
GPQA Diamond—92.7%
SimpleQA Verified—47.3%
LMArena Expert—1507

Multimodal Qwen3.8 Max leads

Pixtral Large: 30.6 (#111), Qwen3.8 Max: 37.2 (#75)

Multimodal benchmarks
BenchmarkPixtral LargeQwen3.8 Max
LMArena Vision10891314
Furniture Assembly—20%

Multilingual Not comparable

Pixtral Large: —, Qwen3.8 Max: 56.7 (#18)

Multilingual benchmarks
BenchmarkPixtral LargeQwen3.8 Max
LMArena Non-English—1472
LMArena Chinese—1538
LMArena French—1503
LMArena German—1483
LMArena Japanese—1467
LMArena Korean—1461
LMArena Russian—1481
LMArena Spanish—1492

Instruction Following Not comparable

Pixtral Large: —, Qwen3.8 Max: 77.6 (#17)

Instruction Following benchmarks
BenchmarkPixtral LargeQwen3.8 Max
LMArena Instruction Following—1479

Long Context Not comparable

Pixtral Large: —, Qwen3.8 Max: 45.6 (#31)

Long Context benchmarks
BenchmarkPixtral LargeQwen3.8 Max
LMArena Longer Query—1489

Writing & Preference Qwen3.8 Max leads

Pixtral Large: 32.9 (#278), Qwen3.8 Max: 67.1 (#30)

Writing & Preference benchmarks
BenchmarkPixtral LargeQwen3.8 Max
LMArena Text—1483
LMArena Creative Writing—1479
EQ-Bench Creative Writing988—
LMArena Multi-Turn—1489

Frequently asked questions

Is Pixtral Large better than Qwen3.8 Max?

Qwen3.8 Max is the stronger model overall, scoring 56.8 to 32.2 on the Noometry Index.

Which is cheaper, Pixtral Large or Qwen3.8 Max?

Qwen3.8 Max is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Pixtral Large lists at $2 and $6.

Which has the bigger context window?

Qwen3.8 Max does, with 1M tokens against 128K.

How many benchmarks do Pixtral Large and Qwen3.8 Max share?

1 benchmark has published results for both models. Pixtral Large has 3 scored results on Noometry and Qwen3.8 Max has 39.

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