Model comparison

GPT-5.1-Codex vs Pixtral Large

GPT-5.1-Codex is the stronger model overall, scoring 38.6 to 32.2 on the Noometry Index.

Last verified . 0 shared benchmarks.

GPT-5.1-Codex OpenAI

38.6

Rank #186 Reported

Pixtral Large Mistral AI

32.2

Rank #259 Reported

Summary

  • Pixtral Large is cheaper at $2 / $6 per million input/output tokens, against $1.25 / $10 for GPT-5.1-Codex.
  • GPT-5.1-Codex accepts more context: 400K tokens versus 128K.
  • Pixtral Large has downloadable open weights; the other is API-only.

Side by side

GPT-5.1-Codex and Pixtral Large specifications
GPT-5.1-CodexPixtral Large
ProviderOpenAIMistral AI
Noometry Index38.632.2
Released2025-11-122024-11-01
WeightsProprietaryOpen
Context window400K128K
Max output128K128K
Input $ / M tokens$1.25$2
Output $ / M tokens$10$6
Results tracked63

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

Category by category

Coding Not comparable

GPT-5.1-Codex: 41.9 (#116), Pixtral Large: —

Coding benchmarks
BenchmarkGPT-5.1-CodexPixtral Large
SWE-bench Verified (bash only)66%—
LMArena WebDev1337—
ALE-Bench1,245—

Agentic & Tool Use Not comparable

GPT-5.1-Codex: 38.0 (#33), Pixtral Large: —

Agentic & Tool Use benchmarks
BenchmarkGPT-5.1-CodexPixtral Large
Terminal-Bench60.4%—
METR Time Horizons70.8%—

Reasoning Not comparable

GPT-5.1-Codex: —, Pixtral Large: 21.7 (#218)

Reasoning benchmarks
BenchmarkGPT-5.1-CodexPixtral Large
EnigmaEval—0.8%

Math Not comparable

GPT-5.1-Codex: 30.3 (#235), Pixtral Large: —

Math benchmarks
BenchmarkGPT-5.1-CodexPixtral Large
ProofBench9%—

Multimodal Not comparable

GPT-5.1-Codex: —, Pixtral Large: 30.6 (#111)

Multimodal benchmarks
BenchmarkGPT-5.1-CodexPixtral Large
LMArena Vision—1089

Writing & Preference Not comparable

GPT-5.1-Codex: —, Pixtral Large: 32.9 (#278)

Writing & Preference benchmarks
BenchmarkGPT-5.1-CodexPixtral Large
EQ-Bench Creative Writing—988

Frequently asked questions

Is GPT-5.1-Codex better than Pixtral Large?

GPT-5.1-Codex is the stronger model overall, scoring 38.6 to 32.2 on the Noometry Index.

Which is cheaper, GPT-5.1-Codex or Pixtral Large?

Pixtral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; GPT-5.1-Codex lists at $1.25 and $10.

Which has the bigger context window?

GPT-5.1-Codex does, with 400K tokens against 128K.

How many benchmarks do GPT-5.1-Codex and Pixtral Large share?

0 benchmarks have published results for both models. GPT-5.1-Codex has 6 scored results on Noometry and Pixtral Large has 3.

Related comparisons

Go deeper