Noometry

Model comparison

GPT-4.1 mini vs Mistral Small 3.2

GPT-4.1 mini is the stronger model overall, scoring 33.6 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 5.3× less per token, which makes it the better buy when GPT-4.1 mini's lead doesn't matter for your workload.

Last verified . 6 shared benchmarks.

GPT-4.1 mini OpenAI

33.6

Rank #240 Confirmed

Mistral Small 3.2 Mistral AI

31.2

Rank #280 Confirmed

Summary

  • They share 6 benchmarks with published results for both. GPT-4.1 mini scores higher in 2 categories and Mistral Small 3.2 in 2 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GPT-4.1 mini leads 34.7 to 26.7.
  • The biggest single-benchmark swing is GPQA Diamond: 65.8% for GPT-4.1 mini and 49.1% for Mistral Small 3.2.
  • Mistral Small 3.2 is cheaper at $0.0938 / $0.25 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 256K.
  • Mistral Small 3.2 has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 miniMistral Small 3.2
ProviderOpenAIMistral AI
Noometry Index33.631.2
Released2025-04-142025-06-20
WeightsProprietaryOpen
Context window1.05M256K
Max output33K16K
Input $ / M tokens$0.40$0.0938
Output $ / M tokens$1.60$0.25
Results tracked476

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Category by category

Coding Not comparable

GPT-4.1 mini: 30.6 (#293), Mistral Small 3.2: —

BenchmarkGPT-4.1 miniMistral Small 3.2
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: 33.3 (#55), Mistral Small 3.2: —

BenchmarkGPT-4.1 miniMistral Small 3.2
Berkeley Function Calling Leaderboard50.5%—

Reasoning Mistral Small 3.2 leads

GPT-4.1 mini: 10.8 (#340), Mistral Small 3.2: 18.1 (#287)

BenchmarkGPT-4.1 miniMistral Small 3.2
Kagi LLM Benchmark48.6%40.4%
Chess Puzzles7%1%
Epoch Capabilities Index135.01131.74
ARC-AGI-20%—
ARC-AGI-13.5%—
CritPt0%—
LMArena Hard Prompts1349—
Mystery Game Puzzles7%—
DTBench68.8%—
LMCA21.1%—

Math Mistral Small 3.2 leads

GPT-4.1 mini: 24.1 (#270), Mistral Small 3.2: 26.3 (#260)

BenchmarkGPT-4.1 miniMistral Small 3.2
OTIS Mock AIME 2024-202544.7%30.3%
FrontierMath (Tiers 1-3)6.7%—
Omni-MATH49.1%—
LMArena Math1343—
MATH Level 587.3%—
FrontierMath (Feb 2025 set)4.5%—

Knowledge GPT-4.1 mini leads

GPT-4.1 mini: 34.7 (#194), Mistral Small 3.2: 26.7 (#256)

BenchmarkGPT-4.1 miniMistral Small 3.2
GPQA Diamond65.8%49.1%
SimpleQA Verified12.7%—
MMLU-Pro78.3%—
GPQA (HELM)61.4%—
LMArena Expert1338—

Multimodal Not comparable

GPT-4.1 mini: 35.8 (#82), Mistral Small 3.2: —

BenchmarkGPT-4.1 miniMistral Small 3.2
LMArena Vision1181—

Multilingual Not comparable

GPT-4.1 mini: 45.7 (#166), Mistral Small 3.2: —

BenchmarkGPT-4.1 miniMistral Small 3.2
LMArena Non-English1318—
LMArena Chinese1329—
LMArena French1358—
LMArena German1351—
LMArena Japanese1290—
LMArena Korean1298—
LMArena Russian1324—
LMArena Spanish1319—

Instruction Following Not comparable

GPT-4.1 mini: 73.7 (#118), Mistral Small 3.2: —

BenchmarkGPT-4.1 miniMistral Small 3.2
IFEval90.4%—
LMArena Instruction Following1333—

Long Context Not comparable

GPT-4.1 mini: 31.8 (#275), Mistral Small 3.2: —

BenchmarkGPT-4.1 miniMistral Small 3.2
Fiction.LiveBench44.4%—
LMArena Longer Query1344—

Writing & Preference GPT-4.1 mini leads

GPT-4.1 mini: 48.6 (#199), Mistral Small 3.2: 45.0 (#224)

BenchmarkGPT-4.1 miniMistral Small 3.2
EQ-Bench Creative Writing11471255
LMArena Text1340—
LMArena Creative Writing1300—
WildBench83.8%—
LMArena Multi-Turn1354—

Frequently asked questions

Is GPT-4.1 mini better than Mistral Small 3.2?

GPT-4.1 mini is the stronger model overall, scoring 33.6 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 5.3× less per token, which makes it the better buy when GPT-4.1 mini's lead doesn't matter for your workload.

Which is cheaper, GPT-4.1 mini or Mistral Small 3.2?

Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; GPT-4.1 mini lists at $0.40 and $1.60.

Which has the bigger context window?

GPT-4.1 mini does, with 1.05M tokens against 256K.

How many benchmarks do GPT-4.1 mini and Mistral Small 3.2 share?

6 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Mistral Small 3.2 has 6.

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