Model comparison
GPT-4.1 nano vs GPT-5 Nano
GPT-5 Nano is the stronger model overall, scoring 33.5 to 27.9 on the Noometry Index.
Last verified . 35 shared benchmarks.
Summary
- They share 35 benchmarks with published results for both. GPT-4.1 nano scores higher in 2 categories and GPT-5 Nano in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5 Nano leads 35.9 to 21.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 28.9% for GPT-4.1 nano and 81.1% for GPT-5 Nano.
- GPT-5 Nano is cheaper at $0.05 / $0.40 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 400K.
Side by side
| GPT-4.1 nano | GPT-5 Nano | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 27.9 | 33.5 |
| Released | 2025-04-14 | 2025-08-07 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 400K |
| Max output | 33K | 128K |
| Input $ / M tokens | $0.10 | $0.05 |
| Output $ / M tokens | $0.40 | $0.40 |
| Results tracked | 38 | 49 |
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Category by category
Coding GPT-5 Nano leads
GPT-4.1 nano: 24.1 (#330), GPT-5 Nano: 33.6 (#254)
| Benchmark | GPT-4.1 nano | GPT-5 Nano |
|---|---|---|
| WeirdML | 19% | 38.1% |
| LMArena Coding | 1306 | 1351 |
| SWE-bench Verified (bash only) | — | 34.8% |
| Aider Polyglot | 8.9% | — |
| SciCode | 25.9% | — |
| ALE-Bench | — | 718.67 |
Agentic & Tool Use Too close to call
GPT-4.1 nano: 26.5 (#104), GPT-5 Nano: 25.8 (#106)
| Benchmark | GPT-4.1 nano | GPT-5 Nano |
|---|---|---|
| Berkeley Function Calling Leaderboard | 33% | 51.5% |
| Terminal-Bench | — | 21.8% |
Reasoning GPT-5 Nano leads
GPT-4.1 nano: 8.5 (#349), GPT-5 Nano: 16.3 (#306)
| Benchmark | GPT-4.1 nano | GPT-5 Nano |
|---|---|---|
| ARC-AGI-2 | 0% | 2.6% |
| Kagi LLM Benchmark | 33.3% | 62.2% |
| ARC-AGI-1 | 0% | 20.7% |
| LMArena Hard Prompts | 1286 | 1328 |
| DTBench | 52.5% | 62.7% |
| LMCA | 5.5% | 7.9% |
| Epoch Capabilities Index | 129.62 | 139.38 |
| CritPt | 0% | — |
| Chess Puzzles | — | 27% |
| Mystery Game Puzzles | — | 9% |
| ForecastBench | — | 59.1 |
Math GPT-5 Nano leads
GPT-4.1 nano: 26.9 (#252), GPT-5 Nano: 29.4 (#241)
| Benchmark | GPT-4.1 nano | GPT-5 Nano |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 28.9% | 81.1% |
| Omni-MATH | 36.7% | 54.6% |
| LMArena Math | 1274 | 1317 |
| MATH Level 5 | 70% | 95.2% |
| FrontierMath (Feb 2025 set) | 1% | 8.3% |
| FrontierMath (Tiers 1-3) | — | 20% |
| FrontierMath Tier 4 | — | 2.4% |
| ProofBench | — | 12% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge GPT-5 Nano leads
GPT-4.1 nano: 21.8 (#273), GPT-5 Nano: 35.9 (#178)
| Benchmark | GPT-4.1 nano | GPT-5 Nano |
|---|---|---|
| GPQA Diamond | 48.9% | 69.4% |
| SimpleQA Verified | 6% | 11.7% |
| MMLU-Pro | 55% | 77.8% |
| GPQA (HELM) | 50.7% | 67.9% |
| LMArena Expert | 1272 | 1321 |
| Vectara Hallucination Rate | — | 10.5% |
Multimodal GPT-5 Nano leads
GPT-4.1 nano: 29.2 (#113), GPT-5 Nano: 31.3 (#108)
| Benchmark | GPT-4.1 nano | GPT-5 Nano |
|---|---|---|
| LMArena Vision | 1063 | 1159 |
| VPCT | — | 37.2% |
Multilingual GPT-5 Nano leads
GPT-4.1 nano: 41.6 (#205), GPT-5 Nano: 45.3 (#172)
| Benchmark | GPT-4.1 nano | GPT-5 Nano |
|---|---|---|
| LMArena Non-English | 1260 | 1313 |
| LMArena Chinese | 1270 | 1356 |
| LMArena German | 1288 | 1327 |
| LMArena Japanese | 1198 | 1226 |
| LMArena Russian | 1261 | 1296 |
| LMArena Korean | — | 1269 |
| LMArena Spanish | — | 1360 |
Instruction Following GPT-5 Nano leads
GPT-4.1 nano: 67.8 (#193), GPT-5 Nano: 75.0 (#79)
| Benchmark | GPT-4.1 nano | GPT-5 Nano |
|---|---|---|
| IFEval | 84.3% | 93.2% |
| LMArena Instruction Following | 1267 | 1306 |
Long Context GPT-5 Nano leads
GPT-4.1 nano: 23.7 (#296), GPT-5 Nano: 31.3 (#281)
| Benchmark | GPT-4.1 nano | GPT-5 Nano |
|---|---|---|
| Fiction.LiveBench | 25% | 44.4% |
| LMArena Longer Query | 1283 | 1312 |
Writing & Preference GPT-4.1 nano leads
GPT-4.1 nano: 40.5 (#243), GPT-5 Nano: 39.1 (#249)
| Benchmark | GPT-4.1 nano | GPT-5 Nano |
|---|---|---|
| LMArena Text | 1285 | 1320 |
| LMArena Creative Writing | 1260 | 1249 |
| EQ-Bench Creative Writing | 946 | 705 |
| WildBench | 81.2% | 80.6% |
| LMArena Multi-Turn | 1277 | 1311 |
Frequently asked questions
Is GPT-4.1 nano better than GPT-5 Nano?
GPT-5 Nano is the stronger model overall, scoring 33.5 to 27.9 on the Noometry Index.
Which is cheaper, GPT-4.1 nano or GPT-5 Nano?
GPT-5 Nano is cheaper. It lists at $0.05 per million input tokens and $0.40 per million output tokens; GPT-4.1 nano lists at $0.10 and $0.40.
Is GPT-4.1 nano or GPT-5 Nano better for coding?
GPT-5 Nano scores higher on coding benchmarks: 33.6 versus 24.1 in the Noometry coding category.
Which has the bigger context window?
GPT-4.1 nano does, with 1.05M tokens against 400K.
How many benchmarks do GPT-4.1 nano and GPT-5 Nano share?
35 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and GPT-5 Nano has 49.