Noometry

Model comparison

GPT-4.1 mini vs Mistral Large 3

Mistral Large 3 is the stronger model overall, scoring 39.1 to 33.6 on the Noometry Index.

Last verified . 20 shared benchmarks.

GPT-4.1 mini OpenAI

33.6

Rank #240 Confirmed

Mistral Large 3 Mistral AI

39.1

Rank #176 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; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Mistral Large 3 leads 38.7 to 24.1.
  • 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 Index33.639.1
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

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

Category by category

Coding Mistral Large 3 leads

GPT-4.1 mini: 30.6 (#293), Mistral Large 3: 34.4 (#237)

BenchmarkGPT-4.1 miniMistral Large 3
LMArena Coding13671448
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: 33.3 (#55), Mistral Large 3: —

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

Reasoning Mistral Large 3 leads

GPT-4.1 mini: 10.8 (#340), Mistral Large 3: 15.2 (#319)

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: 24.1 (#270), Mistral Large 3: 38.7 (#129)

BenchmarkGPT-4.1 miniMistral Large 3
LMArena Math13431414
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 Mistral Large 3 leads

GPT-4.1 mini: 34.7 (#194), Mistral Large 3: 36.0 (#177)

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: 35.8 (#82), Mistral Large 3: 38.2 (#66)

BenchmarkGPT-4.1 miniMistral Large 3
LMArena Vision11811221

Multilingual Mistral Large 3 leads

GPT-4.1 mini: 45.7 (#166), Mistral Large 3: 52.5 (#84)

BenchmarkGPT-4.1 miniMistral Large 3
LMArena Non-English13181413
LMArena Chinese13291447
LMArena French13581455
LMArena German13511437
LMArena Japanese12901394
LMArena Korean12981384
LMArena Russian13241411
LMArena Spanish13191440

Instruction Following Too close to call

GPT-4.1 mini: 73.7 (#118), Mistral Large 3: 74.0 (#108)

BenchmarkGPT-4.1 miniMistral Large 3
LMArena Instruction Following13331403
IFEval90.4%—

Long Context Mistral Large 3 leads

GPT-4.1 mini: 31.8 (#275), Mistral Large 3: 43.1 (#105)

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

Writing & Preference Mistral Large 3 leads

GPT-4.1 mini: 48.6 (#199), Mistral Large 3: 60.0 (#101)

BenchmarkGPT-4.1 miniMistral Large 3
LMArena Text13401428
LMArena Creative Writing13001386
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 39.1 to 33.6 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: 34.4 versus 30.6 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.

Related comparisons

Go deeper