Model comparison
GPT-4.1 mini vs GPT-4.1 nano
GPT-4.1 mini is the stronger model overall, scoring 33.5 to 27.7 on the Noometry Index. GPT-4.1 nano costs 4.0× less per token, which makes it the better buy when GPT-4.1 mini's lead doesn't matter for your workload.
Last verified . 38 shared benchmarks.
Summary
- They share 38 benchmarks with published results for both. GPT-4.1 mini scores higher in 9 categories and GPT-4.1 nano in 1 category; 10 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-4.1 mini leads 34.7 to 21.8.
- The biggest single-benchmark swing is Aider Polyglot: 32.4% for GPT-4.1 mini and 8.9% for GPT-4.1 nano.
- GPT-4.1 nano is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.40 / $1.60 for GPT-4.1 mini.
Side by side
| GPT-4.1 mini | GPT-4.1 nano | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 33.5 | 27.7 |
| Released | 2025-04-14 | 2025-04-14 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1.05M |
| Max output | 33K | 33K |
| Input $ / M tokens | $0.40 | $0.10 |
| Output $ / M tokens | $1.60 | $0.40 |
| Results tracked | 47 | 38 |
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Category by category
Coding GPT-4.1 mini leads
GPT-4.1 mini: 30.4 (#286), GPT-4.1 nano: 23.8 (#325)
| Benchmark | GPT-4.1 mini | GPT-4.1 nano |
|---|---|---|
| Aider Polyglot | 32.4% | 8.9% |
| SciCode | 40.4% | 25.9% |
| WeirdML | 37.6% | 19% |
| LMArena Coding | 1367 | 1306 |
| SWE-bench Verified (bash only) | 23.9% | — |
| BigCodeBench Instruct | 48.9% | — |
| CadEval | 16% | — |
Agentic & Tool Use GPT-4.1 mini leads
GPT-4.1 mini: 33.0 (#52), GPT-4.1 nano: 26.3 (#98)
| Benchmark | GPT-4.1 mini | GPT-4.1 nano |
|---|---|---|
| Berkeley Function Calling Leaderboard | 50.5% | 33% |
Reasoning GPT-4.1 mini leads
GPT-4.1 mini: 10.9 (#335), GPT-4.1 nano: 8.6 (#344)
| Benchmark | GPT-4.1 mini | GPT-4.1 nano |
|---|---|---|
| ARC-AGI-2 | 0% | 0% |
| Kagi LLM Benchmark | 48.6% | 33.3% |
| ARC-AGI-1 | 3.5% | 0% |
| CritPt | 0% | 0% |
| LMArena Hard Prompts | 1349 | 1286 |
| DTBench | 68.8% | 52.5% |
| LMCA | 21.1% | 5.5% |
| Epoch Capabilities Index | 135.01 | 129.62 |
| Chess Puzzles | 7% | — |
| Mystery Game Puzzles | 7% | — |
Math GPT-4.1 nano leads
GPT-4.1 mini: 23.1 (#264), GPT-4.1 nano: 25.5 (#246)
| Benchmark | GPT-4.1 mini | GPT-4.1 nano |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 44.7% | 28.9% |
| Omni-MATH | 49.1% | 36.7% |
| LMArena Math | 1343 | 1274 |
| MATH Level 5 | 87.3% | 70% |
| FrontierMath (Feb 2025 set) | 4.5% | 1% |
| FrontierMath (Tiers 1-3) | 6.7% | — |
Knowledge GPT-4.1 mini leads
GPT-4.1 mini: 34.7 (#183), GPT-4.1 nano: 21.8 (#268)
| Benchmark | GPT-4.1 mini | GPT-4.1 nano |
|---|---|---|
| GPQA Diamond | 65.8% | 48.9% |
| SimpleQA Verified | 12.7% | 6% |
| MMLU-Pro | 78.3% | 55% |
| GPQA (HELM) | 61.4% | 50.7% |
| LMArena Expert | 1338 | 1272 |
Multimodal GPT-4.1 mini leads
GPT-4.1 mini: 35.2 (#77), GPT-4.1 nano: 28.6 (#108)
| Benchmark | GPT-4.1 mini | GPT-4.1 nano |
|---|---|---|
| LMArena Vision | 1181 | 1063 |
Multilingual GPT-4.1 mini leads
GPT-4.1 mini: 45.9 (#161), GPT-4.1 nano: 41.8 (#200)
| Benchmark | GPT-4.1 mini | GPT-4.1 nano |
|---|---|---|
| LMArena Non-English | 1318 | 1260 |
| LMArena Chinese | 1329 | 1270 |
| LMArena German | 1349 | 1288 |
| LMArena Japanese | 1291 | 1199 |
| LMArena Russian | 1324 | 1261 |
| LMArena French | 1357 | — |
| LMArena Korean | 1298 | — |
| LMArena Spanish | 1319 | — |
Instruction Following GPT-4.1 mini leads
GPT-4.1 mini: 73.9 (#113), GPT-4.1 nano: 68.0 (#188)
| Benchmark | GPT-4.1 mini | GPT-4.1 nano |
|---|---|---|
| IFEval | 90.4% | 84.3% |
| LMArena Instruction Following | 1332 | 1267 |
Long Context GPT-4.1 mini leads
GPT-4.1 mini: 31.8 (#270), GPT-4.1 nano: 23.7 (#291)
| Benchmark | GPT-4.1 mini | GPT-4.1 nano |
|---|---|---|
| Fiction.LiveBench | 44.4% | 25% |
| LMArena Longer Query | 1344 | 1283 |
Writing & Preference GPT-4.1 mini leads
GPT-4.1 mini: 48.8 (#193), GPT-4.1 nano: 40.7 (#238)
| Benchmark | GPT-4.1 mini | GPT-4.1 nano |
|---|---|---|
| LMArena Text | 1341 | 1285 |
| LMArena Creative Writing | 1300 | 1260 |
| EQ-Bench Creative Writing | 1147 | 946 |
| WildBench | 83.8% | 81.2% |
| LMArena Multi-Turn | 1354 | 1277 |
Frequently asked questions
Is GPT-4.1 mini better than GPT-4.1 nano?
GPT-4.1 mini is the stronger model overall, scoring 33.5 to 27.7 on the Noometry Index. GPT-4.1 nano costs 4.0× less per token, which makes it the better buy when GPT-4.1 mini's lead doesn't matter for your workload.
Which is cheaper, GPT-4.1 mini or GPT-4.1 nano?
GPT-4.1 nano is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; GPT-4.1 mini lists at $0.40 and $1.60.
Is GPT-4.1 mini or GPT-4.1 nano better for coding?
GPT-4.1 mini scores higher on coding benchmarks: 30.4 versus 23.8 in the Noometry coding category.
Which has the bigger context window?
Both accept 1.05M tokens.
How many benchmarks do GPT-4.1 mini and GPT-4.1 nano share?
38 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and GPT-4.1 nano has 38.