Model comparison
GPT-4.1 nano vs GPT-4o
GPT-4.1 nano and GPT-4o score almost the same on the Noometry Index (27.9 vs 28.6), so choose on price, context window or the category you care about most.
Last verified . 34 shared benchmarks.
Summary
- They share 34 benchmarks with published results for both. GPT-4.1 nano scores higher in 3 categories and GPT-4o in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-4.1 nano leads 26.9 to 10.6.
- The biggest single-benchmark swing is Fiction.LiveBench: 25% for GPT-4.1 nano and 66.7% for GPT-4o.
- GPT-4.1 nano is cheaper at $0.10 / $0.40 per million input/output tokens, against $2.50 / $10 for GPT-4o.
- GPT-4.1 nano accepts more context: 1.05M tokens versus 128K.
Side by side
| GPT-4.1 nano | GPT-4o | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 27.9 | 28.6 |
| Released | 2025-04-14 | 2024-05-13 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 128K |
| Max output | 33K | 16K |
| Input $ / M tokens | $0.10 | $2.50 |
| Output $ / M tokens | $0.40 | $10 |
| Results tracked | 38 | 72 |
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Category by category
Coding Too close to call
GPT-4.1 nano: 24.1 (#330), GPT-4o: 24.8 (#328)
| Benchmark | GPT-4.1 nano | GPT-4o |
|---|---|---|
| Aider Polyglot | 8.9% | 45.3% |
| WeirdML | 19% | 25.1% |
| LMArena Coding | 1306 | 1297 |
| SWE-bench Verified | — | 31% |
| SWE-bench Verified (bash only) | — | 21.6% |
| SciCode | 25.9% | — |
| GSO | — | 0% |
| BigCodeBench Instruct | — | 51.1% |
| LiveBench Coding | — | 51.4% |
| BigCodeBench Complete | — | 61.1% |
| CadEval | — | 26% |
| HumanEval+ | — | 87.2% |
| MBPP+ | — | 72.2% |
Agentic & Tool Use GPT-4.1 nano leads
GPT-4.1 nano: 26.5 (#104), GPT-4o: 21.0 (#141)
| Benchmark | GPT-4.1 nano | GPT-4o |
|---|---|---|
| Berkeley Function Calling Leaderboard | 33% | — |
| GDPval | — | 9.9% |
| TheAgentCompany | — | 8.6% |
| Cybench | — | 12.5% |
| BALROG | — | 32.3% |
| LMArena Search | — | 1006 |
| METR Time Horizons | — | 40.8% |
Reasoning Too close to call
GPT-4.1 nano: 8.5 (#349), GPT-4o: 9.4 (#343)
| Benchmark | GPT-4.1 nano | GPT-4o |
|---|---|---|
| ARC-AGI-2 | 0% | 0% |
| ARC-AGI-1 | 0% | 4.5% |
| CritPt | 0% | 0% |
| LMArena Hard Prompts | 1286 | 1281 |
| DTBench | 52.5% | 64.5% |
| LMCA | 5.5% | 16.6% |
| Epoch Capabilities Index | 129.62 | 128.97 |
| SimpleBench | — | 17.8% |
| Kagi LLM Benchmark | 33.3% | — |
| Chess Puzzles | — | 13% |
| EnigmaEval | — | 0.8% |
| LiveBench Reasoning | — | 55.8% |
| LiveBench Data Analysis | — | 60.9% |
| ForecastBench | — | 57.7 |
| LiveBench | — | 55.3% |
Math GPT-4.1 nano leads
GPT-4.1 nano: 26.9 (#252), GPT-4o: 10.6 (#312)
| Benchmark | GPT-4.1 nano | GPT-4o |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 28.9% | 6.4% |
| Omni-MATH | 36.7% | 29.3% |
| LMArena Math | 1274 | 1285 |
| MATH Level 5 | 70% | 53.3% |
| FrontierMath (Feb 2025 set) | 1% | 0.3% |
| FrontierMath (Tiers 1-3) | — | 0.4% |
| LiveBench Math | — | 49.5% |
Knowledge GPT-4o leads
GPT-4.1 nano: 21.8 (#273), GPT-4o: 28.8 (#242)
| Benchmark | GPT-4.1 nano | GPT-4o |
|---|---|---|
| GPQA Diamond | 48.9% | 49.2% |
| SimpleQA Verified | 6% | 26% |
| MMLU-Pro | 55% | 71.3% |
| GPQA (HELM) | 50.7% | 52% |
| LMArena Expert | 1272 | 1250 |
| Humanity's Last Exam | — | 2.7% |
| Confabulations | — | 15.3% |
| Vectara Hallucination Rate | — | 9.6% |
| MMLU | — | 88.1% |
Multimodal GPT-4o leads
GPT-4.1 nano: 29.2 (#113), GPT-4o: 34.5 (#91)
| Benchmark | GPT-4.1 nano | GPT-4o |
|---|---|---|
| LMArena Vision | 1063 | 1137 |
| Video-MME | — | 71.9% |
| GeoBench | — | 71% |
| VPCT | — | 40% |
| ScienceQA | — | 88.5% |
Multilingual GPT-4o leads
GPT-4.1 nano: 41.6 (#205), GPT-4o: 43.2 (#186)
| Benchmark | GPT-4.1 nano | GPT-4o |
|---|---|---|
| LMArena Non-English | 1260 | 1283 |
| LMArena Chinese | 1270 | 1277 |
| LMArena German | 1288 | 1282 |
| LMArena Japanese | 1198 | 1257 |
| LMArena Russian | 1261 | 1286 |
| LMArena French | — | 1304 |
| LMArena Korean | — | 1234 |
| LMArena Spanish | — | 1292 |
Instruction Following GPT-4.1 nano leads
GPT-4.1 nano: 67.8 (#193), GPT-4o: 66.6 (#207)
| Benchmark | GPT-4.1 nano | GPT-4o |
|---|---|---|
| IFEval | 84.3% | 81.7% |
| LMArena Instruction Following | 1267 | 1278 |
| LiveBench Instruction Following | — | 68.6% |
Long Context GPT-4o leads
GPT-4.1 nano: 23.7 (#296), GPT-4o: 39.4 (#179)
| Benchmark | GPT-4.1 nano | GPT-4o |
|---|---|---|
| Fiction.LiveBench | 25% | 66.7% |
| LMArena Longer Query | 1283 | 1289 |
Writing & Preference GPT-4o leads
GPT-4.1 nano: 40.5 (#243), GPT-4o: 52.6 (#166)
| Benchmark | GPT-4.1 nano | GPT-4o |
|---|---|---|
| LMArena Text | 1285 | 1300 |
| LMArena Creative Writing | 1260 | 1292 |
| WildBench | 81.2% | 82.8% |
| LMArena Multi-Turn | 1277 | 1302 |
| Short-Story Creative Writing | — | 81.8% |
| EQ-Bench Creative Writing | 946 | — |
| LiveBench Language | — | 47.6% |
Frequently asked questions
Is GPT-4.1 nano better than GPT-4o?
GPT-4.1 nano and GPT-4o score almost the same on the Noometry Index (27.9 vs 28.6), so choose on price, context window or the category you care about most.
Which is cheaper, GPT-4.1 nano or GPT-4o?
GPT-4.1 nano is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; GPT-4o lists at $2.50 and $10.
Is GPT-4.1 nano or GPT-4o better for coding?
They score almost the same on coding (24.1 vs 24.8); test both on your own repository before choosing.
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 GPT-4o share?
34 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and GPT-4o has 72.