GPT-4.1 Nano: pricing, context window and benchmarks
GPT-4.1 Nano is a mid-range model from OpenAI. It offers a 32,768-token context window, costs $7.42 per million input tokens and $32.36 per million output tokens, and averages 70.5 across the index's benchmark suite.
Pricing
GPT-4.1 Nano costs $7.42 per million input tokens and $32.36 per million output tokens. A blended 3:1 input-to-output mix works out to about $13.65 per million tokens. Cached input is listed at $0.85 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $7.42 | per 1M tokens |
| Output | $32.36 | per 1M tokens |
| Cached input | $0.85 | per 1M tokens |
| Blended 3:1 | $13.65 | estimate per 1M tokens |
| 1M in + 1M out | $39.78 | estimate |
Benchmarks
Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 74.0 | 352 | 41th | |
| GPQA Diamond | 65.8 | 345 | 43th | |
| SWE-bench Verified | 59.7 | 332 | 45th | |
| HumanEval | 72.0 | 379 | 37th | |
| MATH-500 | 75.3 | 319 | 47th | |
| AIME 2025 | 59.5 | 390 | 35th | |
| LiveCodeBench | 64.3 | 310 | 48th | |
| IFEval | 80.3 | 328 | 45th | |
| TruthfulQA | 75.3 | 325 | 46th | |
| HellaSwag | 82.5 | 334 | 44th | |
| MMMU | 66.6 | 363 | 40th | |
| Arena Elo | 1352.6 | 360 | 40th |
What GPT-4.1 Nano is good for
GPT-4.1 Nano is a general-purpose model in the index. It handles text generation, summarization and question answering, and it can be a sensible default when you need a balance of quality, price and context. At $7.42 per million input tokens with a 32,768-token window, check its benchmark profile against the specific task before committing.
Strengths
- Accepts more than text, including image input where the provider supports it.
Trade-offs
- Proprietary licence: you cannot download the weights or self-host the model.
- Average benchmark score is below the index median; test it on your own task.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Arctic Instruct | Snowflake | 65536 | $2.83 | 70.6 |
| Nova Pro Mini | Amazon | 16384 | $7.74 | 70.6 |
| OLMo 2 Chat | Allen Institute for AI | 16384 | $2.94 | 70.6 |
| o3 Nano | OpenAI | 32768 | $7.78 | 70.6 |
| GPT-4.1 Nano | OpenAI | 32768 | $7.42 | 70.5 |
| Firesearch Pro | Fireworks AI | 32768 | $7.67 | 70.4 |
FAQ
How much does GPT-4.1 Nano cost?
GPT-4.1 Nano is listed at $7.42 per million input tokens and $32.36 per million output tokens. Cached input is $0.85 per million tokens. A blended 3:1 input-to-output mix is about $13.65 per million tokens.
What is the context window of GPT-4.1 Nano?
GPT-4.1 Nano has a context window of 32,768 tokens and can emit up to 8,192 output tokens per request in this index.
Is GPT-4.1 Nano open weights?
No. GPT-4.1 Nano is a proprietary model with a proprietary licence, so you cannot download the weights.
How does GPT-4.1 Nano score on benchmarks?
GPT-4.1 Nano averages 70.5 across the scored benchmarks in this index, ranking #357 of 600 models. Its strongest relative result is Arena Elo at 1352.6.
What is GPT-4.1 Nano best for?
GPT-4.1 Nano is a general-purpose model in the index. It handles text generation, summarization and question answering, and it can be a sensible default when you need a balance of quality, price and context. At $7.42 per million input tokens with a 32,768-token window, check its benchmark profile against the specific task before committing.