Noometry

Model comparison

GPT-4.1 mini vs Mistral Large 3

Mistral Large 3 is the stronger model overall, scoring 38.6 to 33.5 on the Noometry Index.

Last verified . 20 shared benchmarks.

GPT-4.1 mini OpenAI

33.5

Rank #232 Confirmed

Mistral Large 3 Mistral AI

38.6

Rank #172 Confirmed

Summary

  • They share 20 benchmarks with published results for both. GPT-4.1 mini scores higher in 0 categories and Mistral Large 3 in 9 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where Mistral Large 3 leads 36.0 to 23.1.
  • Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $0.40 / $1.60 for GPT-4.1 mini.
  • GPT-4.1 mini accepts more context: 1.05M tokens versus 262K.
  • Mistral Large 3 has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 miniMistral Large 3
ProviderOpenAIMistral AI
Noometry Index33.538.6
Released2025-04-142025-12-02
WeightsProprietaryOpen
Context window1.05M262K
Max output33K8K
Input $ / M tokens$0.40$0.25
Output $ / M tokens$1.60$0.75
Results tracked4724

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Category by category

Coding Mistral Large 3 leads

GPT-4.1 mini: 30.4 (#286), Mistral Large 3: 34.1 (#230)

BenchmarkGPT-4.1 miniMistral Large 3
LMArena Coding13671447
SWE-bench Verified (bash only)23.9%—
Aider Polyglot32.4%—
LMArena WebDev—1230
SciCode40.4%—
WeirdML37.6%—
BigCodeBench Instruct48.9%—
CadEval16%—

Agentic & Tool Use Not comparable

GPT-4.1 mini: 33.0 (#52), Mistral Large 3: —

BenchmarkGPT-4.1 miniMistral Large 3
Berkeley Function Calling Leaderboard50.5%—

Reasoning Mistral Large 3 leads

GPT-4.1 mini: 10.9 (#335), Mistral Large 3: 14.6 (#314)

BenchmarkGPT-4.1 miniMistral Large 3
Kagi LLM Benchmark48.6%50.9%
LMArena Hard Prompts13491429
ARC-AGI-20%—
NYT Connections (extended)—7.5%
ARC-AGI-13.5%—
CritPt0%—
Chess Puzzles7%—
Thematic Generalization—23%
Mystery Game Puzzles7%—
DTBench68.8%—
LMCA21.1%—
Epoch Capabilities Index135.01—

Math Mistral Large 3 leads

GPT-4.1 mini: 23.1 (#264), Mistral Large 3: 36.0 (#131)

BenchmarkGPT-4.1 miniMistral Large 3
LMArena Math13431415
FrontierMath (Tiers 1-3)6.7%—
OTIS Mock AIME 2024-202544.7%—
Omni-MATH49.1%—
MATH Level 587.3%—
FrontierMath (Feb 2025 set)4.5%—

Knowledge Too close to call

GPT-4.1 mini: 34.7 (#183), Mistral Large 3: 35.5 (#173)

BenchmarkGPT-4.1 miniMistral Large 3
LMArena Expert13381421
GPQA Diamond65.8%—
SimpleQA Verified12.7%—
MMLU-Pro78.3%—
Vectara Hallucination Rate—14.5%
GPQA (HELM)61.4%—

Multimodal Mistral Large 3 leads

GPT-4.1 mini: 35.2 (#77), Mistral Large 3: 37.6 (#65)

BenchmarkGPT-4.1 miniMistral Large 3
LMArena Vision11811222

Multilingual Mistral Large 3 leads

GPT-4.1 mini: 45.9 (#161), Mistral Large 3: 52.6 (#79)

BenchmarkGPT-4.1 miniMistral Large 3
LMArena Non-English13181412
LMArena Chinese13291448
LMArena French13571456
LMArena German13491438
LMArena Japanese12911399
LMArena Korean12981384
LMArena Russian13241412
LMArena Spanish13191437

Instruction Following Too close to call

GPT-4.1 mini: 73.9 (#113), Mistral Large 3: 74.1 (#104)

BenchmarkGPT-4.1 miniMistral Large 3
LMArena Instruction Following13321402
IFEval90.4%—

Long Context Mistral Large 3 leads

GPT-4.1 mini: 31.8 (#270), Mistral Large 3: 43.1 (#102)

BenchmarkGPT-4.1 miniMistral Large 3
LMArena Longer Query13441413
Fiction.LiveBench44.4%—

Writing & Preference Mistral Large 3 leads

GPT-4.1 mini: 48.8 (#193), Mistral Large 3: 60.2 (#100)

BenchmarkGPT-4.1 miniMistral Large 3
LMArena Text13411427
LMArena Creative Writing13001385
EQ-Bench Creative Writing11471412
LMArena Multi-Turn13541429
WildBench83.8%—

Frequently asked questions

Is GPT-4.1 mini better than Mistral Large 3?

Mistral Large 3 is the stronger model overall, scoring 38.6 to 33.5 on the Noometry Index.

Which is cheaper, GPT-4.1 mini or Mistral Large 3?

Mistral Large 3 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; GPT-4.1 mini lists at $0.40 and $1.60.

Is GPT-4.1 mini or Mistral Large 3 better for coding?

Mistral Large 3 scores higher on coding benchmarks: 34.1 versus 30.4 in the Noometry coding category.

Which has the bigger context window?

GPT-4.1 mini does, with 1.05M tokens against 262K.

How many benchmarks do GPT-4.1 mini and Mistral Large 3 share?

20 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Mistral Large 3 has 24.

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