Noometry

Model comparison

GPT-4.1 nano vs o3-pro

o3-pro is the stronger model overall, scoring 42.9 to 27.9 on the Noometry Index. GPT-4.1 nano costs 200× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.

Last verified . 9 shared benchmarks.

GPT-4.1 nano OpenAI

27.9

Rank #327 Confirmed

o3-pro OpenAI

42.9

Rank #105 Confirmed

Summary

  • They share 9 benchmarks with published results for both. GPT-4.1 nano scores higher in 0 categories and o3-pro in 5 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in long context, where o3-pro leads 72.2 to 23.7.
  • The biggest single-benchmark swing is Aider Polyglot: 8.9% for GPT-4.1 nano and 84.9% for o3-pro.
  • GPT-4.1 nano is cheaper at $0.10 / $0.40 per million input/output tokens, against $20 / $80 for o3-pro.
  • GPT-4.1 nano accepts more context: 1.05M tokens versus 200K.

Side by side

GPT-4.1 nanoo3-pro
ProviderOpenAIOpenAI
Noometry Index27.942.9
Released2025-04-142025-06-10
WeightsProprietaryProprietary
Context window1.05M200K
Max output33K100K
Input $ / M tokens$0.10$20
Output $ / M tokens$0.40$80
Results tracked3812

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Category by category

Coding o3-pro leads

GPT-4.1 nano: 24.1 (#330), o3-pro: 55.5 (#24)

BenchmarkGPT-4.1 nanoo3-pro
Aider Polyglot8.9%84.9%
WeirdML19%58.2%
SciCode25.9%—
LMArena Coding1306—

Agentic & Tool Use Not comparable

GPT-4.1 nano: 26.5 (#104), o3-pro: —

BenchmarkGPT-4.1 nanoo3-pro
Berkeley Function Calling Leaderboard33%—

Reasoning o3-pro leads

GPT-4.1 nano: 8.5 (#349), o3-pro: 23.8 (#171)

BenchmarkGPT-4.1 nanoo3-pro
ARC-AGI-20%4.9%
Kagi LLM Benchmark33.3%72.1%
ARC-AGI-10%59.3%
DTBench52.5%86.9%
LMCA5.5%38.5%
Epoch Capabilities Index129.62147.42
CritPt0%—
LMArena Hard Prompts1286—

Math Not comparable

GPT-4.1 nano: 26.9 (#252), o3-pro: —

BenchmarkGPT-4.1 nanoo3-pro
OTIS Mock AIME 2024-202528.9%—
Omni-MATH36.7%—
LMArena Math1274—
MATH Level 570%—
FrontierMath (Feb 2025 set)1%—

Knowledge o3-pro leads

GPT-4.1 nano: 21.8 (#273), o3-pro: 29.5 (#238)

BenchmarkGPT-4.1 nanoo3-pro
GPQA Diamond48.9%—
SimpleQA Verified6%—
MMLU-Pro55%—
Confabulations—14.2%
Vectara Hallucination Rate—23.3%
GPQA (HELM)50.7%—
LMArena Expert1272—

Multimodal Not comparable

GPT-4.1 nano: 29.2 (#113), o3-pro: —

BenchmarkGPT-4.1 nanoo3-pro
LMArena Vision1063—

Multilingual Not comparable

GPT-4.1 nano: 41.6 (#205), o3-pro: —

BenchmarkGPT-4.1 nanoo3-pro
LMArena Non-English1260—
LMArena Chinese1270—
LMArena German1288—
LMArena Japanese1198—
LMArena Russian1261—

Instruction Following Not comparable

GPT-4.1 nano: 67.8 (#193), o3-pro: —

BenchmarkGPT-4.1 nanoo3-pro
IFEval84.3%—
LMArena Instruction Following1267—

Long Context o3-pro leads

GPT-4.1 nano: 23.7 (#296), o3-pro: 72.2 (#1)

BenchmarkGPT-4.1 nanoo3-pro
Fiction.LiveBench25%97.2%
LMArena Longer Query1283—

Writing & Preference o3-pro leads

GPT-4.1 nano: 40.5 (#243), o3-pro: 57.1 (#133)

BenchmarkGPT-4.1 nanoo3-pro
LMArena Text1285—
LMArena Creative Writing1260—
Short-Story Creative Writing—84.4%
EQ-Bench Creative Writing946—
WildBench81.2%—
LMArena Multi-Turn1277—

Frequently asked questions

Is GPT-4.1 nano better than o3-pro?

o3-pro is the stronger model overall, scoring 42.9 to 27.9 on the Noometry Index. GPT-4.1 nano costs 200× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.

Which is cheaper, GPT-4.1 nano or o3-pro?

GPT-4.1 nano is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; o3-pro lists at $20 and $80.

Is GPT-4.1 nano or o3-pro better for coding?

o3-pro scores higher on coding benchmarks: 55.5 versus 24.1 in the Noometry coding category.

Which has the bigger context window?

GPT-4.1 nano does, with 1.05M tokens against 200K.

How many benchmarks do GPT-4.1 nano and o3-pro share?

9 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and o3-pro has 12.

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