Model comparison
GPT-4.1 nano vs o1-mini
o1-mini is the stronger model overall, scoring 34.0 to 27.9 on the Noometry Index.
Last verified . 23 shared benchmarks.
Summary
- They share 23 benchmarks with published results for both. GPT-4.1 nano scores higher in 2 categories and o1-mini in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in long context, where o1-mini leads 40.1 to 23.7.
- The biggest single-benchmark swing is Aider Polyglot: 8.9% for GPT-4.1 nano and 32.9% for o1-mini.
Side by side
| GPT-4.1 nano | o1-mini | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 27.9 | 34.0 |
| Released | 2025-04-14 | 2024-09-12 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | — |
| Max output | 33K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 38 | 39 |
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Category by category
Coding o1-mini leads
GPT-4.1 nano: 24.1 (#330), o1-mini: 35.5 (#224)
| Benchmark | GPT-4.1 nano | o1-mini |
|---|---|---|
| Aider Polyglot | 8.9% | 32.9% |
| WeirdML | 19% | 36.3% |
| LMArena Coding | 1306 | 1362 |
| SciCode | 25.9% | — |
| LiveBench Coding | — | 48% |
| HumanEval+ | — | 89% |
| MBPP+ | — | 78.8% |
Agentic & Tool Use GPT-4.1 nano leads
GPT-4.1 nano: 26.5 (#104), o1-mini: 24.6 (#118)
| Benchmark | GPT-4.1 nano | o1-mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | 33% | — |
| Cybench | — | 10% |
Reasoning Too close to call
GPT-4.1 nano: 8.5 (#349), o1-mini: 8.8 (#346)
| Benchmark | GPT-4.1 nano | o1-mini |
|---|---|---|
| ARC-AGI-2 | 0% | 0.8% |
| ARC-AGI-1 | 0% | 14% |
| LMArena Hard Prompts | 1286 | 1333 |
| Epoch Capabilities Index | 129.62 | 135.82 |
| SimpleBench | — | 18.1% |
| Kagi LLM Benchmark | 33.3% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | — | 72.3% |
| DTBench | 52.5% | — |
| LiveBench Data Analysis | — | 57.9% |
| LMCA | 5.5% | — |
| LiveBench | — | 57.8% |
Math o1-mini leads
GPT-4.1 nano: 26.9 (#252), o1-mini: 35.4 (#186)
| Benchmark | GPT-4.1 nano | o1-mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 28.9% | 46.9% |
| LMArena Math | 1274 | 1358 |
| MATH Level 5 | 70% | 89.2% |
| FrontierMath (Feb 2025 set) | 1% | 1.7% |
| Omni-MATH | 36.7% | — |
| LiveBench Math | — | 62% |
Knowledge o1-mini leads
GPT-4.1 nano: 21.8 (#273), o1-mini: 34.9 (#192)
| Benchmark | GPT-4.1 nano | o1-mini |
|---|---|---|
| GPQA Diamond | 48.9% | 62.4% |
| LMArena Expert | 1272 | 1316 |
| SimpleQA Verified | 6% | — |
| MMLU-Pro | 55% | — |
| Confabulations | — | 18.6% |
| GPQA (HELM) | 50.7% | — |
Multimodal Not comparable
GPT-4.1 nano: 29.2 (#113), o1-mini: —
| Benchmark | GPT-4.1 nano | o1-mini |
|---|---|---|
| LMArena Vision | 1063 | — |
Multilingual o1-mini leads
GPT-4.1 nano: 41.6 (#205), o1-mini: 43.6 (#182)
| Benchmark | GPT-4.1 nano | o1-mini |
|---|---|---|
| LMArena Non-English | 1260 | 1289 |
| LMArena Chinese | 1270 | 1314 |
| LMArena German | 1288 | 1278 |
| LMArena Japanese | 1198 | 1245 |
| LMArena Russian | 1261 | 1283 |
| LMArena French | — | 1293 |
| LMArena Korean | — | 1223 |
| LMArena Spanish | — | 1303 |
Instruction Following GPT-4.1 nano leads
GPT-4.1 nano: 67.8 (#193), o1-mini: 66.7 (#206)
| Benchmark | GPT-4.1 nano | o1-mini |
|---|---|---|
| LMArena Instruction Following | 1267 | 1304 |
| LiveBench Instruction Following | — | 65.4% |
| IFEval | 84.3% | — |
Long Context o1-mini leads
GPT-4.1 nano: 23.7 (#296), o1-mini: 40.1 (#161)
| Benchmark | GPT-4.1 nano | o1-mini |
|---|---|---|
| LMArena Longer Query | 1283 | 1320 |
| Fiction.LiveBench | 25% | — |
Writing & Preference o1-mini leads
GPT-4.1 nano: 40.5 (#243), o1-mini: 48.4 (#202)
| Benchmark | GPT-4.1 nano | o1-mini |
|---|---|---|
| LMArena Text | 1285 | 1317 |
| LMArena Creative Writing | 1260 | 1244 |
| LMArena Multi-Turn | 1277 | 1314 |
| Short-Story Creative Writing | — | 64.9% |
| EQ-Bench Creative Writing | 946 | — |
| WildBench | 81.2% | — |
| LiveBench Language | — | 40.9% |
Frequently asked questions
Is GPT-4.1 nano better than o1-mini?
o1-mini is the stronger model overall, scoring 34.0 to 27.9 on the Noometry Index.
Is GPT-4.1 nano or o1-mini better for coding?
o1-mini scores higher on coding benchmarks: 35.5 versus 24.1 in the Noometry coding category.
How many benchmarks do GPT-4.1 nano and o1-mini share?
23 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and o1-mini has 39.