Noometry

Model comparison

GPT-4.1 mini vs Mistral Large 4

Mistral Large 4 is the stronger model overall, scoring 43.1 to 33.6 on the Noometry Index.

Last verified . 13 shared benchmarks.

GPT-4.1 mini OpenAI

33.6

Rank #240 Confirmed

Mistral Large 4 Mistral AI

43.1

Rank #99 Confirmed

Summary

  • They share 13 benchmarks with published results for both. GPT-4.1 mini scores higher in 0 categories and Mistral Large 4 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in coding, where Mistral Large 4 leads 48.6 to 30.6.
  • The biggest single-benchmark swing is SimpleQA Verified: 12.7% for GPT-4.1 mini and 20% for Mistral Large 4.
  • GPT-4.1 mini is cheaper at $0.40 / $1.60 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
  • Mistral Large 4 accepts more context: 1.05M tokens versus 1.05M.

Side by side

GPT-4.1 miniMistral Large 4
ProviderOpenAIMistral AI
Noometry Index33.643.1
Released2025-04-142026-10-06
WeightsProprietaryProprietary
Context window1.05M1.05M
Max output33K262K
Input $ / M tokens$0.40$0.68
Output $ / M tokens$1.60$2.09
Results tracked4715

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Category by category

Coding Mistral Large 4 leads

GPT-4.1 mini: 30.6 (#293), Mistral Large 4: 48.6 (#57)

BenchmarkGPT-4.1 miniMistral Large 4
LMArena Coding13671475
SWE-bench Verified (bash only)23.9%—
Aider Polyglot32.4%—
LMArena WebDev—1541
SciCode40.4%—
WeirdML37.6%—
BigCodeBench Instruct48.9%—
CadEval16%—

Agentic & Tool Use Not comparable

GPT-4.1 mini: 33.3 (#55), Mistral Large 4: —

BenchmarkGPT-4.1 miniMistral Large 4
Berkeley Function Calling Leaderboard50.5%—

Reasoning Mistral Large 4 leads

GPT-4.1 mini: 10.8 (#340), Mistral Large 4: 22.5 (#192)

BenchmarkGPT-4.1 miniMistral Large 4
LMArena Hard Prompts13491444
ARC-AGI-20%—
Kagi LLM Benchmark48.6%—
NYT Connections (extended)—27.4%
ARC-AGI-13.5%—
CritPt0%—
Chess Puzzles7%—
Mystery Game Puzzles7%—
DTBench68.8%—
LMCA21.1%—
Epoch Capabilities Index135.01—

Math Mistral Large 4 leads

GPT-4.1 mini: 24.1 (#270), Mistral Large 4: 40.4 (#91)

BenchmarkGPT-4.1 miniMistral Large 4
LMArena Math13431488
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 4 leads

GPT-4.1 mini: 34.7 (#194), Mistral Large 4: 36.6 (#166)

BenchmarkGPT-4.1 miniMistral Large 4
SimpleQA Verified12.7%20%
LMArena Expert13381447
GPQA Diamond65.8%—
MMLU-Pro78.3%—
GPQA (HELM)61.4%—

Multimodal Not comparable

GPT-4.1 mini: 35.8 (#82), Mistral Large 4: —

BenchmarkGPT-4.1 miniMistral Large 4
LMArena Vision1181—

Multilingual Mistral Large 4 leads

GPT-4.1 mini: 45.7 (#166), Mistral Large 4: 52.6 (#82)

BenchmarkGPT-4.1 miniMistral Large 4
LMArena Non-English13181415
LMArena Chinese13291491
LMArena Russian13241414
LMArena French1358—
LMArena German1351—
LMArena Japanese1290—
LMArena Korean1298—
LMArena Spanish1319—

Instruction Following Mistral Large 4 leads

GPT-4.1 mini: 73.7 (#118), Mistral Large 4: 75.0 (#76)

BenchmarkGPT-4.1 miniMistral Large 4
LMArena Instruction Following13331424
IFEval90.4%—

Long Context Mistral Large 4 leads

GPT-4.1 mini: 31.8 (#275), Mistral Large 4: 43.6 (#89)

BenchmarkGPT-4.1 miniMistral Large 4
LMArena Longer Query13441429
Fiction.LiveBench44.4%—

Writing & Preference Mistral Large 4 leads

GPT-4.1 mini: 48.6 (#199), Mistral Large 4: 60.4 (#97)

BenchmarkGPT-4.1 miniMistral Large 4
LMArena Text13401427
LMArena Creative Writing13001361
LMArena Multi-Turn13541424
EQ-Bench Creative Writing1147—
WildBench83.8%—

Frequently asked questions

Is GPT-4.1 mini better than Mistral Large 4?

Mistral Large 4 is the stronger model overall, scoring 43.1 to 33.6 on the Noometry Index.

Which is cheaper, GPT-4.1 mini or Mistral Large 4?

GPT-4.1 mini is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.

Is GPT-4.1 mini or Mistral Large 4 better for coding?

Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 30.6 in the Noometry coding category.

Which has the bigger context window?

Mistral Large 4 does, with 1.05M tokens against 1.05M.

How many benchmarks do GPT-4.1 mini and Mistral Large 4 share?

13 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Mistral Large 4 has 15.

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