Noometry

Model comparison

GPT-5 Nano vs Mistral Small 3.2

GPT-5 Nano is the stronger model overall, scoring 33.5 to 31.2 on the Noometry Index.

Last verified . 6 shared benchmarks.

GPT-5 Nano OpenAI

33.5

Rank #241 Confirmed

Mistral Small 3.2 Mistral AI

31.2

Rank #280 Confirmed

Summary

  • They share 6 benchmarks with published results for both. GPT-5 Nano 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-5 Nano leads 35.9 to 26.7.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 81.1% for GPT-5 Nano and 30.3% for Mistral Small 3.2.
  • Both cost about the same: $0.05 input and $0.40 output per million tokens.
  • GPT-5 Nano accepts more context: 400K tokens versus 256K.
  • Mistral Small 3.2 has downloadable open weights; the other is API-only.

Side by side

GPT-5 NanoMistral Small 3.2
ProviderOpenAIMistral AI
Noometry Index33.531.2
Released2025-08-072025-06-20
WeightsProprietaryOpen
Context window400K256K
Max output128K16K
Input $ / M tokens$0.05$0.0938
Output $ / M tokens$0.40$0.25
Results tracked496

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Category by category

Coding Not comparable

GPT-5 Nano: 33.6 (#254), Mistral Small 3.2: —

BenchmarkGPT-5 NanoMistral Small 3.2
SWE-bench Verified (bash only)34.8%—
WeirdML38.1%—
LMArena Coding1351—
ALE-Bench718.67—

Agentic & Tool Use Not comparable

GPT-5 Nano: 25.8 (#106), Mistral Small 3.2: —

BenchmarkGPT-5 NanoMistral Small 3.2
Terminal-Bench21.8%—
Berkeley Function Calling Leaderboard51.5%—

Reasoning Mistral Small 3.2 leads

GPT-5 Nano: 16.3 (#306), Mistral Small 3.2: 18.1 (#287)

BenchmarkGPT-5 NanoMistral Small 3.2
Kagi LLM Benchmark62.2%40.4%
Chess Puzzles27%1%
Epoch Capabilities Index139.38131.74
ARC-AGI-22.6%—
ARC-AGI-120.7%—
LMArena Hard Prompts1328—
Mystery Game Puzzles9%—
DTBench62.7%—
LMCA7.9%—
ForecastBench59.1—

Math GPT-5 Nano leads

GPT-5 Nano: 29.4 (#241), Mistral Small 3.2: 26.3 (#260)

BenchmarkGPT-5 NanoMistral Small 3.2
OTIS Mock AIME 2024-202581.1%30.3%
FrontierMath (Tiers 1-3)20%—
FrontierMath Tier 42.4%—
ProofBench12%—
Omni-MATH54.6%—
LMArena Math1317—
MATH Level 595.2%—
FrontierMath (Feb 2025 set)8.3%—
FrontierMath Tier 4 (v1)2.1%—

Knowledge GPT-5 Nano leads

GPT-5 Nano: 35.9 (#178), Mistral Small 3.2: 26.7 (#256)

BenchmarkGPT-5 NanoMistral Small 3.2
GPQA Diamond69.4%49.1%
SimpleQA Verified11.7%—
MMLU-Pro77.8%—
Vectara Hallucination Rate10.5%—
GPQA (HELM)67.9%—
LMArena Expert1321—

Multimodal Not comparable

GPT-5 Nano: 31.3 (#108), Mistral Small 3.2: —

BenchmarkGPT-5 NanoMistral Small 3.2
LMArena Vision1159—
VPCT37.2%—

Multilingual Not comparable

GPT-5 Nano: 45.3 (#172), Mistral Small 3.2: —

BenchmarkGPT-5 NanoMistral Small 3.2
LMArena Non-English1313—
LMArena Chinese1356—
LMArena German1327—
LMArena Japanese1226—
LMArena Korean1269—
LMArena Russian1296—
LMArena Spanish1360—

Instruction Following Not comparable

GPT-5 Nano: 75.0 (#79), Mistral Small 3.2: —

BenchmarkGPT-5 NanoMistral Small 3.2
IFEval93.2%—
LMArena Instruction Following1306—

Long Context Not comparable

GPT-5 Nano: 31.3 (#281), Mistral Small 3.2: —

BenchmarkGPT-5 NanoMistral Small 3.2
Fiction.LiveBench44.4%—
LMArena Longer Query1312—

Writing & Preference Mistral Small 3.2 leads

GPT-5 Nano: 39.1 (#249), Mistral Small 3.2: 45.0 (#224)

BenchmarkGPT-5 NanoMistral Small 3.2
EQ-Bench Creative Writing7051255
LMArena Text1320—
LMArena Creative Writing1249—
WildBench80.6%—
LMArena Multi-Turn1311—

Frequently asked questions

Is GPT-5 Nano better than Mistral Small 3.2?

GPT-5 Nano is the stronger model overall, scoring 33.5 to 31.2 on the Noometry Index.

Which is cheaper, GPT-5 Nano 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-5 Nano lists at $0.05 and $0.40.

Which has the bigger context window?

GPT-5 Nano does, with 400K tokens against 256K.

How many benchmarks do GPT-5 Nano and Mistral Small 3.2 share?

6 benchmarks have published results for both models. GPT-5 Nano has 49 scored results on Noometry and Mistral Small 3.2 has 6.

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