Model comparison

Pixtral Large vs Qwen2.5-Max

Qwen2.5-Max is the stronger model overall, scoring 40.7 to 32.2 on the Noometry Index.

Last verified . 0 shared benchmarks.

Pixtral Large Mistral AI

32.2

Rank #259 Reported

Qwen2.5-Max Alibaba (Qwen)

40.7

Rank #146 Confirmed

Summary

  • The widest gap is in writing & preference, where Qwen2.5-Max leads 55.4 to 32.9.
  • Pixtral Large has downloadable open weights; the other is API-only.

Side by side

Pixtral Large and Qwen2.5-Max specifications
Pixtral LargeQwen2.5-Max
ProviderMistral AIAlibaba (Qwen)
Noometry Index32.240.7
Released2024-11-012025-01-25
WeightsOpenProprietary
Context window128K—
Max output128K—
Input $ / M tokens$2—
Output $ / M tokens$6—
Results tracked327

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Not comparable

Pixtral Large: —, Qwen2.5-Max: 41.8 (#117)

Coding benchmarks
BenchmarkPixtral LargeQwen2.5-Max
LiveBench Coding—64.4%
LMArena Coding—1359

Reasoning Qwen2.5-Max leads

Pixtral Large: 21.7 (#218), Qwen2.5-Max: 25.6 (#147)

Reasoning benchmarks
BenchmarkPixtral LargeQwen2.5-Max
EnigmaEval0.8%—
LiveBench Reasoning—51.4%
LMArena Hard Prompts—1360
LiveBench Data Analysis—67.9%
Epoch Capabilities Index—132.53
LiveBench—62.3%

Math Not comparable

Pixtral Large: —, Qwen2.5-Max: 36.9 (#162)

Math benchmarks
BenchmarkPixtral LargeQwen2.5-Max
LiveBench Math—58.4%
LMArena Math—1369

Knowledge Not comparable

Pixtral Large: —, Qwen2.5-Max: 35.3 (#186)

Knowledge benchmarks
BenchmarkPixtral LargeQwen2.5-Max
Confabulations—21.8%
LMArena Expert—1337

Multimodal Not comparable

Pixtral Large: 30.6 (#111), Qwen2.5-Max: —

Multimodal benchmarks
BenchmarkPixtral LargeQwen2.5-Max
LMArena Vision1089—

Multilingual Not comparable

Pixtral Large: —, Qwen2.5-Max: 48.1 (#146)

Multilingual benchmarks
BenchmarkPixtral LargeQwen2.5-Max
LMArena Non-English—1352
LMArena Chinese—1382
LMArena French—1396
LMArena German—1350
LMArena Japanese—1300
LMArena Korean—1304
LMArena Russian—1353
LMArena Spanish—1377

Instruction Following Not comparable

Pixtral Large: —, Qwen2.5-Max: 71.3 (#152)

Instruction Following benchmarks
BenchmarkPixtral LargeQwen2.5-Max
LiveBench Instruction Following—75.3%
LMArena Instruction Following—1335

Long Context Not comparable

Pixtral Large: —, Qwen2.5-Max: 41.4 (#142)

Long Context benchmarks
BenchmarkPixtral LargeQwen2.5-Max
LMArena Longer Query—1358

Writing & Preference Qwen2.5-Max leads

Pixtral Large: 32.9 (#278), Qwen2.5-Max: 55.4 (#146)

Writing & Preference benchmarks
BenchmarkPixtral LargeQwen2.5-Max
LMArena Text—1367
LMArena Creative Writing—1339
Short-Story Creative Writing—72.9%
EQ-Bench Creative Writing988—
LMArena Multi-Turn—1364
LiveBench Language—56.3%

Frequently asked questions

Is Pixtral Large better than Qwen2.5-Max?

Qwen2.5-Max is the stronger model overall, scoring 40.7 to 32.2 on the Noometry Index.

How many benchmarks do Pixtral Large and Qwen2.5-Max share?

0 benchmarks have published results for both models. Pixtral Large has 3 scored results on Noometry and Qwen2.5-Max has 27.

Related comparisons

Go deeper