Model comparison

GPT-5.4 nano vs Pixtral Large

GPT-5.4 nano is the stronger model overall, scoring 41.9 to 32.2 on the Noometry Index.

Last verified . 1 shared benchmarks.

GPT-5.4 nano OpenAI

41.9

Rank #125 Confirmed

Pixtral Large Mistral AI

32.2

Rank #259 Reported

Summary

  • They share 1 benchmark with published results for both. GPT-5.4 nano scores higher in 3 categories and Pixtral Large in 0 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GPT-5.4 nano leads 55.7 to 32.9.
  • GPT-5.4 nano is cheaper at $0.20 / $1.25 per million input/output tokens, against $2 / $6 for Pixtral Large.
  • GPT-5.4 nano accepts more context: 400K tokens versus 128K.
  • Pixtral Large has downloadable open weights; the other is API-only.

Side by side

GPT-5.4 nano and Pixtral Large specifications
GPT-5.4 nanoPixtral Large
ProviderOpenAIMistral AI
Noometry Index41.932.2
Released2026-03-172024-11-01
WeightsProprietaryOpen
Context window400K128K
Max output128K128K
Input $ / M tokens$0.20$2
Output $ / M tokens$1.25$6
Results tracked403

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Category by category

Coding Not comparable

GPT-5.4 nano: 43.6 (#84), Pixtral Large: —

Coding benchmarks
BenchmarkGPT-5.4 nanoPixtral Large
SciCode46.9%—
WeirdML49.2%—
LMArena Coding1405—
ALE-Bench1,005—

Reasoning GPT-5.4 nano leads

GPT-5.4 nano: 23.7 (#173), Pixtral Large: 21.7 (#218)

Reasoning benchmarks
BenchmarkGPT-5.4 nanoPixtral Large
ARC-AGI-25.7%—
Kagi LLM Benchmark39.7%—
ARC-AGI-151.5%—
CritPt9.3%—
Chess Puzzles30%—
EnigmaEval—0.8%
LMArena Hard Prompts1381—
Mystery Game Puzzles9%—
DTBench80.3%—
LMCA36.9%—
Epoch Capabilities Index145.81—
ForecastBench57.3—

Math Not comparable

GPT-5.4 nano: 40.9 (#88), Pixtral Large: —

Math benchmarks
BenchmarkGPT-5.4 nanoPixtral Large
FrontierMath (Tiers 1-3)44.9%—
FrontierMath Tier 412.2%—
OTIS Mock AIME 2024-202587.8%—
ProofBench5%—
LMArena Math1406—
FrontierMath (Feb 2025 set)25.9%—
FrontierMath Tier 4 (v1)6.3%—

Knowledge Not comparable

GPT-5.4 nano: 41.9 (#103), Pixtral Large: —

Knowledge benchmarks
BenchmarkGPT-5.4 nanoPixtral Large
GPQA Diamond78.5%—
SimpleQA Verified11.7%—
Vectara Hallucination Rate3.1%—
LMArena Expert1396—

Multimodal GPT-5.4 nano leads

GPT-5.4 nano: 36.7 (#78), Pixtral Large: 30.6 (#111)

Multimodal benchmarks
BenchmarkGPT-5.4 nanoPixtral Large
LMArena Vision11961089

Multilingual Not comparable

GPT-5.4 nano: 48.6 (#140), Pixtral Large: —

Multilingual benchmarks
BenchmarkGPT-5.4 nanoPixtral Large
LMArena Non-English1359—
LMArena Chinese1392—
LMArena French1396—
LMArena German1367—
LMArena Japanese1343—
LMArena Korean1320—
LMArena Russian1363—
LMArena Spanish1371—

Instruction Following Not comparable

GPT-5.4 nano: 71.9 (#144), Pixtral Large: —

Instruction Following benchmarks
BenchmarkGPT-5.4 nanoPixtral Large
LMArena Instruction Following1362—

Long Context Not comparable

GPT-5.4 nano: 41.6 (#137), Pixtral Large: —

Long Context benchmarks
BenchmarkGPT-5.4 nanoPixtral Large
LMArena Longer Query1366—

Writing & Preference GPT-5.4 nano leads

GPT-5.4 nano: 55.7 (#142), Pixtral Large: 32.9 (#278)

Writing & Preference benchmarks
BenchmarkGPT-5.4 nanoPixtral Large
LMArena Text1372—
LMArena Creative Writing1314—
EQ-Bench Creative Writing—988
LMArena Multi-Turn1382—

Frequently asked questions

Is GPT-5.4 nano better than Pixtral Large?

GPT-5.4 nano is the stronger model overall, scoring 41.9 to 32.2 on the Noometry Index.

Which is cheaper, GPT-5.4 nano or Pixtral Large?

GPT-5.4 nano is cheaper. It lists at $0.20 per million input tokens and $1.25 per million output tokens; Pixtral Large lists at $2 and $6.

Which has the bigger context window?

GPT-5.4 nano does, with 400K tokens against 128K.

How many benchmarks do GPT-5.4 nano and Pixtral Large share?

1 benchmark has published results for both models. GPT-5.4 nano has 40 scored results on Noometry and Pixtral Large has 3.

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