Noometry

Model comparison

GPT-4o mini vs Mistral Small 3.2

Mistral Small 3.2 is the stronger model overall, scoring 31.2 to 25.5 on the Noometry Index.

Last verified . 6 shared benchmarks.

GPT-4o mini OpenAI

25.5

Rank #343 Confirmed

Mistral Small 3.2 Mistral AI

31.2

Rank #280 Confirmed

Summary

  • They share 6 benchmarks with published results for both. GPT-4o mini scores higher in 0 categories and Mistral Small 3.2 in 4 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in math, where Mistral Small 3.2 leads 26.3 to 10.4.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 6.9% for GPT-4o mini and 30.3% for Mistral Small 3.2.
  • Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.15 / $0.60 for GPT-4o mini.
  • Mistral Small 3.2 accepts more context: 256K tokens versus 128K.
  • Mistral Small 3.2 has downloadable open weights; the other is API-only.

Side by side

GPT-4o miniMistral Small 3.2
ProviderOpenAIMistral AI
Noometry Index25.531.2
Released2024-07-182025-06-20
WeightsProprietaryOpen
Context window128K256K
Max output16K16K
Input $ / M tokens$0.15$0.0938
Output $ / M tokens$0.60$0.25
Results tracked606

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Category by category

Coding Not comparable

GPT-4o mini: 22.0 (#335), Mistral Small 3.2: —

BenchmarkGPT-4o miniMistral Small 3.2
Aider Polyglot3.6%—
WeirdML11.8%—
BigCodeBench Instruct46.1%—
LiveBench Coding43.1%—
LMArena Coding1290—
BigCodeBench Complete57.4%—
HumanEval+83.5%—
MBPP+72.2%—

Agentic & Tool Use Not comparable

GPT-4o mini: 27.5 (#101), Mistral Small 3.2: —

BenchmarkGPT-4o miniMistral Small 3.2
BALROG17.4%—

Reasoning Mistral Small 3.2 leads

GPT-4o mini: 8.7 (#347), Mistral Small 3.2: 18.1 (#287)

BenchmarkGPT-4o miniMistral Small 3.2
Kagi LLM Benchmark28.8%40.4%
Chess Puzzles0%1%
Epoch Capabilities Index126.56131.74
ARC-AGI-20%—
SimpleBench10.7%—
LiveBench Reasoning32.8%—
LMArena Hard Prompts1267—
Mystery Game Puzzles12%—
DTBench54.4%—
LiveBench Data Analysis50%—
LMCA10.4%—
LiveBench41.3%—
PIQA88.7%—

Math Mistral Small 3.2 leads

GPT-4o mini: 10.4 (#314), Mistral Small 3.2: 26.3 (#260)

BenchmarkGPT-4o miniMistral Small 3.2
OTIS Mock AIME 2024-20256.9%30.3%
FrontierMath (Tiers 1-3)0.7%—
Omni-MATH28%—
LiveBench Math36.3%—
LMArena Math1267—
MATH Level 552.6%—
GSM8K91.3%—

Knowledge Mistral Small 3.2 leads

GPT-4o mini: 17.7 (#284), Mistral Small 3.2: 26.7 (#256)

BenchmarkGPT-4o miniMistral Small 3.2
GPQA Diamond37.7%49.1%
SimpleQA Verified8.3%—
MMLU-Pro60.3%—
Confabulations37.2%—
GPQA (HELM)36.8%—
LMArena Expert1235—
BoolQ88.7%—
MMLU81.8%—

Multimodal Not comparable

GPT-4o mini: 25.9 (#122), Mistral Small 3.2: —

BenchmarkGPT-4o miniMistral Small 3.2
LMArena Vision1066—
Video-MME64.8%—
GeoBench64%—
VPCT34%—

Multilingual Not comparable

GPT-4o mini: 42.0 (#199), Mistral Small 3.2: —

BenchmarkGPT-4o miniMistral Small 3.2
LMArena Non-English1266—
LMArena Chinese1265—
LMArena French1297—
LMArena German1272—
LMArena Japanese1216—
LMArena Korean1195—
LMArena Russian1275—
LMArena Spanish1276—

Instruction Following Not comparable

GPT-4o mini: 61.9 (#239), Mistral Small 3.2: —

BenchmarkGPT-4o miniMistral Small 3.2
LiveBench Instruction Following56.8%—
IFEval78.2%—
LMArena Instruction Following1258—

Long Context Not comparable

GPT-4o mini: 39.1 (#186), Mistral Small 3.2: —

BenchmarkGPT-4o miniMistral Small 3.2
LMArena Longer Query1289—

Writing & Preference Mistral Small 3.2 leads

GPT-4o mini: 39.5 (#248), Mistral Small 3.2: 45.0 (#224)

BenchmarkGPT-4o miniMistral Small 3.2
EQ-Bench Creative Writing8731255
LMArena Text1286—
LMArena Creative Writing1268—
Short-Story Creative Writing67.2%—
WildBench79.1%—
LMArena Multi-Turn1285—
LiveBench Language28.6%—

Frequently asked questions

Is GPT-4o mini better than Mistral Small 3.2?

Mistral Small 3.2 is the stronger model overall, scoring 31.2 to 25.5 on the Noometry Index.

Which is cheaper, GPT-4o 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-4o mini lists at $0.15 and $0.60.

Which has the bigger context window?

Mistral Small 3.2 does, with 256K tokens against 128K.

How many benchmarks do GPT-4o mini and Mistral Small 3.2 share?

6 benchmarks have published results for both models. GPT-4o mini has 60 scored results on Noometry and Mistral Small 3.2 has 6.

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