Model comparison

GPT-5.4 nano vs Mistral Small 3.2

GPT-5.4 nano is the stronger model overall, scoring 41.9 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 3.5× less per token, which makes it the better buy when GPT-5.4 nano's lead doesn't matter for your workload.

Last verified . 5 shared benchmarks.

GPT-5.4 nano OpenAI

41.9

Rank #111 Confirmed

Mistral Small 3.2 Mistral AI

30.8

Rank #271 Confirmed

Summary

  • They share 5 benchmarks with published results for both. GPT-5.4 nano scores higher in 4 categories and Mistral Small 3.2 in 0 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-5.4 nano leads 40.7 to 24.9.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 87.8% for GPT-5.4 nano 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 $0.20 / $1.25 for GPT-5.4 nano.
  • GPT-5.4 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-5.4 nano and Mistral Small 3.2 specifications
GPT-5.4 nanoMistral Small 3.2
ProviderOpenAIMistral AI
Noometry Index41.930.8
Released2026-03-172025-06-20
WeightsProprietaryOpen
Context window400K256K
Max output128K16K
Input $ / M tokens$0.20$0.0938
Output $ / M tokens$1.25$0.25
Results tracked406

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Category by category

Coding Not comparable

GPT-5.4 nano: 43.1 (#82), Mistral Small 3.2: —

Coding benchmarks
BenchmarkGPT-5.4 nanoMistral Small 3.2
SciCode46.9%—
WeirdML49.2%—
LMArena Coding1404—
ALE-Bench1,005—

Reasoning GPT-5.4 nano leads

GPT-5.4 nano: 23.8 (#159), Mistral Small 3.2: 17.5 (#282)

Reasoning benchmarks
BenchmarkGPT-5.4 nanoMistral Small 3.2
Kagi LLM Benchmark39.7%40.4%
Chess Puzzles30%1%
Epoch Capabilities Index145.78131.73
ARC-AGI-25.7%—
ARC-AGI-151.5%—
CritPt9.3%—
LMArena Hard Prompts1380—
Mystery Game Puzzles9%—
DTBench80.3%—
LMCA36.9%—
ForecastBench57.3—

Math GPT-5.4 nano leads

GPT-5.4 nano: 40.7 (#76), Mistral Small 3.2: 24.9 (#251)

Math benchmarks
BenchmarkGPT-5.4 nanoMistral Small 3.2
OTIS Mock AIME 2024-202587.8%30.3%
FrontierMath (Tiers 1-3)44.9%—
FrontierMath Tier 412.2%—
ProofBench5%—
LMArena Math1406—
FrontierMath (Feb 2025 set)25.9%—
FrontierMath Tier 4 (v1)6.3%—

Knowledge GPT-5.4 nano leads

GPT-5.4 nano: 41.8 (#94), Mistral Small 3.2: 26.8 (#249)

Knowledge benchmarks
BenchmarkGPT-5.4 nanoMistral Small 3.2
GPQA Diamond78.5%49.1%
SimpleQA Verified11.7%—
Vectara Hallucination Rate3.1%—
LMArena Expert1397—

Multimodal Not comparable

GPT-5.4 nano: 36.0 (#73), Mistral Small 3.2: —

Multimodal benchmarks
BenchmarkGPT-5.4 nanoMistral Small 3.2
LMArena Vision1196—

Multilingual Not comparable

GPT-5.4 nano: 48.8 (#136), Mistral Small 3.2: —

Multilingual benchmarks
BenchmarkGPT-5.4 nanoMistral Small 3.2
LMArena Non-English1359—
LMArena Chinese1391—
LMArena French1396—
LMArena German1368—
LMArena Japanese1342—
LMArena Korean1321—
LMArena Russian1363—
LMArena Spanish1368—

Instruction Following Not comparable

GPT-5.4 nano: 72.1 (#139), Mistral Small 3.2: —

Instruction Following benchmarks
BenchmarkGPT-5.4 nanoMistral Small 3.2
LMArena Instruction Following1362—

Long Context Not comparable

GPT-5.4 nano: 41.6 (#131), Mistral Small 3.2: —

Long Context benchmarks
BenchmarkGPT-5.4 nanoMistral Small 3.2
LMArena Longer Query1365—

Writing & Preference GPT-5.4 nano leads

GPT-5.4 nano: 55.9 (#137), Mistral Small 3.2: 45.1 (#219)

Writing & Preference benchmarks
BenchmarkGPT-5.4 nanoMistral Small 3.2
LMArena Text1372—
LMArena Creative Writing1313—
EQ-Bench Creative Writing—1255
LMArena Multi-Turn1382—

Frequently asked questions

Is GPT-5.4 nano better than Mistral Small 3.2?

GPT-5.4 nano is the stronger model overall, scoring 41.9 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 3.5× less per token, which makes it the better buy when GPT-5.4 nano's lead doesn't matter for your workload.

Which is cheaper, GPT-5.4 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-5.4 nano lists at $0.20 and $1.25.

Which has the bigger context window?

GPT-5.4 nano does, with 400K tokens against 256K.

How many benchmarks do GPT-5.4 nano and Mistral Small 3.2 share?

5 benchmarks have published results for both models. GPT-5.4 nano has 40 scored results on Noometry and Mistral Small 3.2 has 6.

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