Model comparison

Pixtral Large vs Qwen2.5-VL 72B Instruct

Pixtral Large is the stronger model overall, scoring 32.2 to 29.9 on the Noometry Index.

Last verified . 1 shared benchmarks.

Pixtral Large Mistral AI

32.2

Rank #259 Reported

Summary

  • They share 1 benchmark with published results for both. Pixtral Large scores higher in 1 category and Qwen2.5-VL 72B Instruct in 1 category; one gap is clear of the uncertainty.
  • Pixtral Large is cheaper at $2 / $6 per million input/output tokens, against $2.80 / $8.40 for Qwen2.5-VL 72B Instruct.
  • Qwen2.5-VL 72B Instruct accepts more context: 131K tokens versus 128K.

Side by side

Pixtral Large and Qwen2.5-VL 72B Instruct specifications
Pixtral LargeQwen2.5-VL 72B Instruct
ProviderMistral AIAlibaba (Qwen)
Noometry Index32.229.9
Released2024-11-012024-09
WeightsOpenOpen
Context window128K131K
Max output128K8K
Input $ / M tokens$2$2.80
Output $ / M tokens$6$8.40
Results tracked36

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Category by category

Agentic & Tool Use Not comparable

Pixtral Large: —, Qwen2.5-VL 72B Instruct: 18.6 (#144)

Agentic & Tool Use benchmarks
BenchmarkPixtral LargeQwen2.5-VL 72B Instruct
OSWorld—5%

Reasoning Too close to call

Pixtral Large: 21.7 (#218), Qwen2.5-VL 72B Instruct: 20.7 (#233)

Reasoning benchmarks
BenchmarkPixtral LargeQwen2.5-VL 72B Instruct
Kagi LLM Benchmark—36%
EnigmaEval0.8%—

Multimodal Qwen2.5-VL 72B Instruct leads

Pixtral Large: 30.6 (#111), Qwen2.5-VL 72B Instruct: 33.5 (#97)

Multimodal benchmarks
BenchmarkPixtral LargeQwen2.5-VL 72B Instruct
LMArena Vision10891107
Video-MME—73.5%
GeoBench—62%
SpatialViz-Bench—33.3%

Writing & Preference Not comparable

Pixtral Large: 32.9 (#278), Qwen2.5-VL 72B Instruct: —

Writing & Preference benchmarks
BenchmarkPixtral LargeQwen2.5-VL 72B Instruct
EQ-Bench Creative Writing988—

Frequently asked questions

Is Pixtral Large better than Qwen2.5-VL 72B Instruct?

Pixtral Large is the stronger model overall, scoring 32.2 to 29.9 on the Noometry Index.

Which is cheaper, Pixtral Large or Qwen2.5-VL 72B Instruct?

Pixtral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Qwen2.5-VL 72B Instruct lists at $2.80 and $8.40.

Which has the bigger context window?

Qwen2.5-VL 72B Instruct does, with 131K tokens against 128K.

How many benchmarks do Pixtral Large and Qwen2.5-VL 72B Instruct share?

1 benchmark has published results for both models. Pixtral Large has 3 scored results on Noometry and Qwen2.5-VL 72B Instruct has 6.

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