Model comparison

GPT-5.4 nano vs Mistral Small 3.1

GPT-5.4 nano is the stronger model overall, scoring 41.9 to 31.7 on the Noometry Index.

Last verified . 22 shared benchmarks.

GPT-5.4 nano OpenAI

41.9

Rank #125 Confirmed

Mistral Small 3.1 Mistral AI

31.7

Rank #269 Confirmed

Summary

  • They share 22 benchmarks with published results for both. GPT-5.4 nano scores higher in 9 categories and Mistral Small 3.1 in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-5.4 nano leads 40.9 to 14.7.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 87.8% for GPT-5.4 nano and 3.9% for Mistral Small 3.1.
  • Mistral Small 3.1 is cheaper at $0.35 / $0.56 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 128K.
  • Mistral Small 3.1 has downloadable open weights; the other is API-only.

Side by side

GPT-5.4 nano and Mistral Small 3.1 specifications
GPT-5.4 nanoMistral Small 3.1
ProviderOpenAIMistral AI
Noometry Index41.931.7
Released2026-03-172025-03-17
WeightsProprietaryOpen
Context window400K128K
Max output128K102K
Input $ / M tokens$0.20$0.35
Output $ / M tokens$1.25$0.56
Results tracked4028

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Category by category

Coding GPT-5.4 nano leads

GPT-5.4 nano: 43.6 (#84), Mistral Small 3.1: 38.3 (#179)

Coding benchmarks
BenchmarkGPT-5.4 nanoMistral Small 3.1
LMArena Coding14051309
SciCode46.9%—
WeirdML49.2%—
ALE-Bench1,005—

Reasoning GPT-5.4 nano leads

GPT-5.4 nano: 23.7 (#173), Mistral Small 3.1: 19.7 (#254)

Reasoning benchmarks
BenchmarkGPT-5.4 nanoMistral Small 3.1
Chess Puzzles30%1%
LMArena Hard Prompts13811278
Epoch Capabilities Index145.81127.48
ARC-AGI-25.7%—
Kagi LLM Benchmark39.7%—
ARC-AGI-151.5%—
CritPt9.3%—
Mystery Game Puzzles9%—
DTBench80.3%—
LMCA36.9%—
ForecastBench57.3—

Math GPT-5.4 nano leads

GPT-5.4 nano: 40.9 (#88), Mistral Small 3.1: 14.7 (#301)

Math benchmarks
BenchmarkGPT-5.4 nanoMistral Small 3.1
OTIS Mock AIME 2024-202587.8%3.9%
LMArena Math14061262
FrontierMath (Tiers 1-3)44.9%—
FrontierMath Tier 412.2%—
ProofBench5%—
Omni-MATH—24.8%
FrontierMath (Feb 2025 set)25.9%—
FrontierMath Tier 4 (v1)6.3%—

Knowledge GPT-5.4 nano leads

GPT-5.4 nano: 41.9 (#103), Mistral Small 3.1: 22.6 (#271)

Knowledge benchmarks
BenchmarkGPT-5.4 nanoMistral Small 3.1
GPQA Diamond78.5%41.9%
LMArena Expert13961257
SimpleQA Verified11.7%—
MMLU-Pro—61%
Vectara Hallucination Rate3.1%—
GPQA (HELM)—39.2%

Multimodal GPT-5.4 nano leads

GPT-5.4 nano: 36.7 (#78), Mistral Small 3.1: 33.2 (#99)

Multimodal benchmarks
BenchmarkGPT-5.4 nanoMistral Small 3.1
LMArena Vision11961136

Multilingual GPT-5.4 nano leads

GPT-5.4 nano: 48.6 (#140), Mistral Small 3.1: 41.2 (#209)

Multilingual benchmarks
BenchmarkGPT-5.4 nanoMistral Small 3.1
LMArena Non-English13591255
LMArena Chinese13921253
LMArena French13961273
LMArena German13671266
LMArena Japanese13431208
LMArena Korean13201206
LMArena Russian13631263
LMArena Spanish13711283

Instruction Following GPT-5.4 nano leads

GPT-5.4 nano: 71.9 (#144), Mistral Small 3.1: 63.6 (#230)

Instruction Following benchmarks
BenchmarkGPT-5.4 nanoMistral Small 3.1
LMArena Instruction Following13621264
IFEval—75%

Long Context GPT-5.4 nano leads

GPT-5.4 nano: 41.6 (#137), Mistral Small 3.1: 39.5 (#178)

Long Context benchmarks
BenchmarkGPT-5.4 nanoMistral Small 3.1
LMArena Longer Query13661299

Writing & Preference GPT-5.4 nano leads

GPT-5.4 nano: 55.7 (#142), Mistral Small 3.1: 37.0 (#259)

Writing & Preference benchmarks
BenchmarkGPT-5.4 nanoMistral Small 3.1
LMArena Text13721277
LMArena Creative Writing13141253
LMArena Multi-Turn13821270
EQ-Bench Creative Writing—761
WildBench—78.8%

Frequently asked questions

Is GPT-5.4 nano better than Mistral Small 3.1?

GPT-5.4 nano is the stronger model overall, scoring 41.9 to 31.7 on the Noometry Index.

Which is cheaper, GPT-5.4 nano or Mistral Small 3.1?

Mistral Small 3.1 is cheaper. It lists at $0.35 per million input tokens and $0.56 per million output tokens; GPT-5.4 nano lists at $0.20 and $1.25.

Is GPT-5.4 nano or Mistral Small 3.1 better for coding?

GPT-5.4 nano scores higher on coding benchmarks: 43.6 versus 38.3 in the Noometry coding category.

Which has the bigger context window?

GPT-5.4 nano does, with 400K tokens against 128K.

How many benchmarks do GPT-5.4 nano and Mistral Small 3.1 share?

22 benchmarks have published results for both models. GPT-5.4 nano has 40 scored results on Noometry and Mistral Small 3.1 has 28.

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