o4 Nano: pricing, context window and benchmarks
o4 Nano is a mid-range model from OpenAI. It offers a 65,536-token context window, costs $8.61 per million input tokens and $41.97 per million output tokens, and averages 72.0 across the index's benchmark suite.
Pricing
o4 Nano costs $8.61 per million input tokens and $41.97 per million output tokens. A blended 3:1 input-to-output mix works out to about $16.95 per million tokens. Cached input is listed at $0.91 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $8.61 | per 1M tokens |
| Output | $41.97 | per 1M tokens |
| Cached input | $0.91 | per 1M tokens |
| Blended 3:1 | $16.95 | estimate per 1M tokens |
| 1M in + 1M out | $50.58 | 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 | 74.9 | 339 | 44th | |
| GPQA Diamond | 67.3 | 327 | 46th | |
| SWE-bench Verified | 62.3 | 272 | 55th | |
| HumanEval | 74.7 | 350 | 42th | |
| MATH-500 | 74.0 | 349 | 42th | |
| AIME 2025 | 64.2 | 354 | 41th | |
| LiveCodeBench | 65.9 | 278 | 54th | |
| IFEval | 81.6 | 286 | 52th | |
| TruthfulQA | 75.2 | 327 | 46th | |
| HellaSwag | 81.2 | 363 | 40th | |
| MMMU | 70.2 | 296 | 51th | |
| Arena Elo | 1374.8 | 294 | 51th |
What o4 Nano is good for
o4 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 $8.61 per million input tokens with a 65,536-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.
- Premium input pricing at $8.61 per million tokens.
- Average benchmark score is below the index median; test it on your own task.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Llama 3.1 Base | Meta AI | 32768 | $3.39 | 72.2 |
| Llama 3 Replicate Base | Replicate | 65536 | $3.15 | 72.1 |
| Claude Sonnet 4.5 Nano | Anthropic | 8192 | $8.93 | 72.0 |
| Mixtral Groq Chat | Groq | 8192 | $3.09 | 72.0 |
| o4 Nano | OpenAI | 65536 | $8.61 | 72.0 |
| Mixtral Turbo Instruct | Together AI | 32768 | $3.16 | 71.9 |
FAQ
How much does o4 Nano cost?
o4 Nano is listed at $8.61 per million input tokens and $41.97 per million output tokens. Cached input is $0.91 per million tokens. A blended 3:1 input-to-output mix is about $16.95 per million tokens.
What is the context window of o4 Nano?
o4 Nano has a context window of 65,536 tokens and can emit up to 65,536 output tokens per request in this index.
Is o4 Nano open weights?
No. o4 Nano is a proprietary model with a proprietary licence, so you cannot download the weights.
How does o4 Nano score on benchmarks?
o4 Nano averages 72.0 across the scored benchmarks in this index, ranking #329 of 600 models. Its strongest relative result is Arena Elo at 1374.8.
What is o4 Nano best for?
o4 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 $8.61 per million input tokens with a 65,536-token window, check its benchmark profile against the specific task before committing.