Noometry

Model comparison

GPT-4.1 nano vs Mistral Nemo

GPT-4.1 nano is the stronger model overall, scoring 27.9 to 26.4 on the Noometry Index.

Last verified . 6 shared benchmarks.

GPT-4.1 nano OpenAI

27.9

Rank #327 Confirmed

Mistral Nemo Mistral AI

26.4

Rank #337 Confirmed

Summary

  • They share 6 benchmarks with published results for both. GPT-4.1 nano scores higher in 4 categories and Mistral Nemo in 1 category; 5 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Mistral Nemo leads 20.7 to 8.5.
  • The biggest single-benchmark swing is MATH Level 5: 70% for GPT-4.1 nano and 10.8% for Mistral Nemo.
  • Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.10 / $0.40 for GPT-4.1 nano.
  • GPT-4.1 nano accepts more context: 1.05M tokens versus 128K.
  • Mistral Nemo has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 nanoMistral Nemo
ProviderOpenAIMistral AI
Noometry Index27.926.4
Released2025-04-142024-07-01
WeightsProprietaryOpen
Context window1.05M128K
Max output33K128K
Input $ / M tokens$0.10$0.15
Output $ / M tokens$0.40$0.15
Results tracked3810

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Category by category

Coding Not comparable

GPT-4.1 nano: 24.1 (#330), Mistral Nemo: —

BenchmarkGPT-4.1 nanoMistral Nemo
Aider Polyglot8.9%—
SciCode25.9%—
WeirdML19%—
LMArena Coding1306—

Agentic & Tool Use GPT-4.1 nano leads

GPT-4.1 nano: 26.5 (#104), Mistral Nemo: 23.5 (#125)

BenchmarkGPT-4.1 nanoMistral Nemo
Berkeley Function Calling Leaderboard33%27.6%
BALROG—17.6%

Reasoning Mistral Nemo leads

GPT-4.1 nano: 8.5 (#349), Mistral Nemo: 20.7 (#232)

BenchmarkGPT-4.1 nanoMistral Nemo
DTBench52.5%48.6%
Epoch Capabilities Index129.62118.68
ARC-AGI-20%—
Kagi LLM Benchmark33.3%—
ARC-AGI-10%—
CritPt0%—
LMArena Hard Prompts1286—
LMCA5.5%—
PIQA—83.5%

Math GPT-4.1 nano leads

GPT-4.1 nano: 26.9 (#252), Mistral Nemo: 25.5 (#268)

BenchmarkGPT-4.1 nanoMistral Nemo
MATH Level 570%10.8%
OTIS Mock AIME 2024-202528.9%—
Omni-MATH36.7%—
LMArena Math1274—
FrontierMath (Feb 2025 set)1%—
GSM8K—84.2%

Knowledge GPT-4.1 nano leads

GPT-4.1 nano: 21.8 (#273), Mistral Nemo: 12.3 (#298)

BenchmarkGPT-4.1 nanoMistral Nemo
GPQA Diamond48.9%29.9%
SimpleQA Verified6%—
MMLU-Pro55%—
GPQA (HELM)50.7%—
LMArena Expert1272—
BoolQ—82.5%

Multimodal Not comparable

GPT-4.1 nano: 29.2 (#113), Mistral Nemo: —

BenchmarkGPT-4.1 nanoMistral Nemo
LMArena Vision1063—

Multilingual Not comparable

GPT-4.1 nano: 41.6 (#205), Mistral Nemo: —

BenchmarkGPT-4.1 nanoMistral Nemo
LMArena Non-English1260—
LMArena Chinese1270—
LMArena German1288—
LMArena Japanese1198—
LMArena Russian1261—

Instruction Following Not comparable

GPT-4.1 nano: 67.8 (#193), Mistral Nemo: —

BenchmarkGPT-4.1 nanoMistral Nemo
IFEval84.3%—
LMArena Instruction Following1267—

Long Context Not comparable

GPT-4.1 nano: 23.7 (#296), Mistral Nemo: —

BenchmarkGPT-4.1 nanoMistral Nemo
Fiction.LiveBench25%—
LMArena Longer Query1283—

Writing & Preference GPT-4.1 nano leads

GPT-4.1 nano: 40.5 (#243), Mistral Nemo: 28.5 (#296)

BenchmarkGPT-4.1 nanoMistral Nemo
EQ-Bench Creative Writing946881
LMArena Text1285—
LMArena Creative Writing1260—
WildBench81.2%—
LMArena Multi-Turn1277—

Frequently asked questions

Is GPT-4.1 nano better than Mistral Nemo?

GPT-4.1 nano is the stronger model overall, scoring 27.9 to 26.4 on the Noometry Index.

Which is cheaper, GPT-4.1 nano or Mistral Nemo?

Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; GPT-4.1 nano lists at $0.10 and $0.40.

Which has the bigger context window?

GPT-4.1 nano does, with 1.05M tokens against 128K.

How many benchmarks do GPT-4.1 nano and Mistral Nemo share?

6 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and Mistral Nemo has 10.

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