Noometry

Model comparison

GPT-4.1 vs Pixtral Large

GPT-4.1 is the stronger model overall, scoring 35.9 to 32.2 on the Noometry Index.

Last verified . 3 shared benchmarks.

GPT-4.1 OpenAI

35.9

Rank #219 Confirmed

Pixtral Large Mistral AI

32.2

Rank #259 Reported

Summary

  • They share 3 benchmarks with published results for both. GPT-4.1 scores higher in 2 categories and Pixtral Large in 1 category; 3 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GPT-4.1 leads 57.6 to 32.9.
  • Pixtral Large is cheaper at $2 / $6 per million input/output tokens, against $2 / $8 for GPT-4.1.
  • GPT-4.1 accepts more context: 1.05M tokens versus 128K.
  • Pixtral Large has downloadable open weights; the other is API-only.

Side by side

GPT-4.1Pixtral Large
ProviderOpenAIMistral AI
Noometry Index35.932.2
Released2025-04-142024-11-01
WeightsProprietaryOpen
Context window1.05M128K
Max output33K128K
Input $ / M tokens$2$2
Output $ / M tokens$8$6
Results tracked523

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

Category by category

Coding Not comparable

GPT-4.1: 34.4 (#238), Pixtral Large: —

BenchmarkGPT-4.1Pixtral Large
SWE-bench Verified48.5%—
SWE-bench Verified (bash only)39.6%—
Aider Polyglot52.4%—
WeirdML39%—
LMArena Coding1391—
CadEval42%—
ALE-Bench558.1—

Agentic & Tool Use Not comparable

GPT-4.1: 34.7 (#43), Pixtral Large: —

BenchmarkGPT-4.1Pixtral Large
Berkeley Function Calling Leaderboard54%—

Reasoning Pixtral Large leads

GPT-4.1: 11.7 (#339), Pixtral Large: 21.7 (#218)

BenchmarkGPT-4.1Pixtral Large
EnigmaEval2.2%0.8%
ARC-AGI-20.4%—
SimpleBench27%—
Kagi LLM Benchmark52.3%—
ARC-AGI-15.5%—
Chess Puzzles6%—
LMArena Hard Prompts1384—
DTBench68.3%—
LMCA25.6%—
Epoch Capabilities Index136.78—
ForecastBench61.5—

Math Not comparable

GPT-4.1: 22.3 (#280), Pixtral Large: —

BenchmarkGPT-4.1Pixtral Large
FrontierMath (Tiers 1-3)6%—
OTIS Mock AIME 2024-202538.3%—
Omni-MATH47.1%—
LMArena Math1370—
MATH Level 583%—
FrontierMath (Feb 2025 set)5.5%—
FrontierMath Tier 4 (v1)0%—

Knowledge Not comparable

GPT-4.1: 37.1 (#160), Pixtral Large: —

BenchmarkGPT-4.1Pixtral Large
GPQA Diamond66.9%—
Humanity's Last Exam5.4%—
SimpleQA Verified31.1%—
MMLU-Pro81.1%—
Vectara Hallucination Rate5.6%—
GPQA (HELM)65.9%—
LMArena Expert1364—

Multimodal GPT-4.1 leads

GPT-4.1: 38.2 (#67), Pixtral Large: 30.6 (#111)

BenchmarkGPT-4.1Pixtral Large
LMArena Vision12111089
GeoBench72%—

Multilingual Not comparable

GPT-4.1: 49.4 (#133), Pixtral Large: —

BenchmarkGPT-4.1Pixtral Large
LMArena Non-English1370—
LMArena Chinese1382—
LMArena French1382—
LMArena German1381—
LMArena Japanese1319—
LMArena Korean1339—
LMArena Russian1377—
LMArena Spanish1376—

Instruction Following Not comparable

GPT-4.1: 71.3 (#153), Pixtral Large: —

BenchmarkGPT-4.1Pixtral Large
IFEval83.8%—
LMArena Instruction Following1367—

Long Context Not comparable

GPT-4.1: 40.0 (#163), Pixtral Large: —

BenchmarkGPT-4.1Pixtral Large
Fiction.LiveBench63.9%—
LMArena Longer Query1385—

Writing & Preference GPT-4.1 leads

GPT-4.1: 57.6 (#125), Pixtral Large: 32.9 (#278)

BenchmarkGPT-4.1Pixtral Large
EQ-Bench Creative Writing1420988
LMArena Text1383—
LMArena Creative Writing1363—
WildBench85.4%—
LMArena Multi-Turn1398—

Frequently asked questions

Is GPT-4.1 better than Pixtral Large?

GPT-4.1 is the stronger model overall, scoring 35.9 to 32.2 on the Noometry Index.

Which is cheaper, GPT-4.1 or Pixtral Large?

Pixtral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; GPT-4.1 lists at $2 and $8.

Which has the bigger context window?

GPT-4.1 does, with 1.05M tokens against 128K.

How many benchmarks do GPT-4.1 and Pixtral Large share?

3 benchmarks have published results for both models. GPT-4.1 has 52 scored results on Noometry and Pixtral Large has 3.

Related comparisons

Go deeper