Noometry

Model comparison

GPT-4.1 mini vs Pixtral Large

GPT-4.1 mini is the stronger model overall, scoring 33.5 to 31.7 on the Noometry Index.

Last verified . 2 shared benchmarks.

GPT-4.1 mini OpenAI

33.5

Rank #232 Confirmed

Pixtral Large Mistral AI

31.7

Rank #257 Reported

Summary

  • They share 2 benchmarks with published results for both. GPT-4.1 mini 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 mini leads 48.8 to 32.9.
  • GPT-4.1 mini is cheaper at $0.40 / $1.60 per million input/output tokens, against $2 / $6 for Pixtral Large.
  • GPT-4.1 mini accepts more context: 1.05M tokens versus 128K.
  • Pixtral Large has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 miniPixtral Large
ProviderOpenAIMistral AI
Noometry Index33.531.7
Released2025-04-142024-11-01
WeightsProprietaryOpen
Context window1.05M128K
Max output33K128K
Input $ / M tokens$0.40$2
Output $ / M tokens$1.60$6
Results tracked473

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Category by category

Coding Not comparable

GPT-4.1 mini: 30.4 (#286), Pixtral Large: —

BenchmarkGPT-4.1 miniPixtral Large
SWE-bench Verified (bash only)23.9%—
Aider Polyglot32.4%—
SciCode40.4%—
WeirdML37.6%—
BigCodeBench Instruct48.9%—
LMArena Coding1367—
CadEval16%—

Agentic & Tool Use Not comparable

GPT-4.1 mini: 33.0 (#52), Pixtral Large: —

BenchmarkGPT-4.1 miniPixtral Large
Berkeley Function Calling Leaderboard50.5%—

Reasoning Pixtral Large leads

GPT-4.1 mini: 10.9 (#335), Pixtral Large: 20.9 (#208)

BenchmarkGPT-4.1 miniPixtral Large
ARC-AGI-20%—
Kagi LLM Benchmark48.6%—
ARC-AGI-13.5%—
CritPt0%—
Chess Puzzles7%—
EnigmaEval—0.8%
LMArena Hard Prompts1349—
Mystery Game Puzzles7%—
DTBench68.8%—
LMCA21.1%—
Epoch Capabilities Index135.01—

Math Not comparable

GPT-4.1 mini: 23.1 (#264), Pixtral Large: —

BenchmarkGPT-4.1 miniPixtral Large
FrontierMath (Tiers 1-3)6.7%—
OTIS Mock AIME 2024-202544.7%—
Omni-MATH49.1%—
LMArena Math1343—
MATH Level 587.3%—
FrontierMath (Feb 2025 set)4.5%—

Knowledge Not comparable

GPT-4.1 mini: 34.7 (#183), Pixtral Large: —

BenchmarkGPT-4.1 miniPixtral Large
GPQA Diamond65.8%—
SimpleQA Verified12.7%—
MMLU-Pro78.3%—
GPQA (HELM)61.4%—
LMArena Expert1338—

Multimodal GPT-4.1 mini leads

GPT-4.1 mini: 35.2 (#77), Pixtral Large: 30.0 (#105)

BenchmarkGPT-4.1 miniPixtral Large
LMArena Vision11811089

Multilingual Not comparable

GPT-4.1 mini: 45.9 (#161), Pixtral Large: —

BenchmarkGPT-4.1 miniPixtral Large
LMArena Non-English1318—
LMArena Chinese1329—
LMArena French1357—
LMArena German1349—
LMArena Japanese1291—
LMArena Korean1298—
LMArena Russian1324—
LMArena Spanish1319—

Instruction Following Not comparable

GPT-4.1 mini: 73.9 (#113), Pixtral Large: —

BenchmarkGPT-4.1 miniPixtral Large
IFEval90.4%—
LMArena Instruction Following1332—

Long Context Not comparable

GPT-4.1 mini: 31.8 (#270), Pixtral Large: —

BenchmarkGPT-4.1 miniPixtral Large
Fiction.LiveBench44.4%—
LMArena Longer Query1344—

Writing & Preference GPT-4.1 mini leads

GPT-4.1 mini: 48.8 (#193), Pixtral Large: 32.9 (#273)

BenchmarkGPT-4.1 miniPixtral Large
EQ-Bench Creative Writing1147988
LMArena Text1341—
LMArena Creative Writing1300—
WildBench83.8%—
LMArena Multi-Turn1354—

Frequently asked questions

Is GPT-4.1 mini better than Pixtral Large?

GPT-4.1 mini is the stronger model overall, scoring 33.5 to 31.7 on the Noometry Index.

Which is cheaper, GPT-4.1 mini or Pixtral Large?

GPT-4.1 mini is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; Pixtral Large lists at $2 and $6.

Which has the bigger context window?

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

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

2 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Pixtral Large has 3.

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