GPT-5.2 Nano: pricing, context window and benchmarks
GPT-5.2 Nano is a multimodal model from OpenAI. It offers a 128,000-token context window, costs $9.73 per million input tokens and $49.56 per million output tokens, and averages 73.5 across the index's benchmark suite.
Pricing
GPT-5.2 Nano costs $9.73 per million input tokens and $49.56 per million output tokens. A blended 3:1 input-to-output mix works out to about $19.69 per million tokens. Cached input is listed at $0.94 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $9.73 | per 1M tokens |
| Output | $49.56 | per 1M tokens |
| Cached input | $0.94 | per 1M tokens |
| Blended 3:1 | $19.69 | estimate per 1M tokens |
| 1M in + 1M out | $59.29 | 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 | 75.4 | 320 | 47th | |
| GPQA Diamond | 68.4 | 306 | 49th | |
| SWE-bench Verified | 62.4 | 268 | 55th | |
| HumanEval | 79.7 | 241 | 60th | |
| MATH-500 | 74.8 | 332 | 45th | |
| AIME 2025 | 72.0 | 218 | 64th | |
| LiveCodeBench | 64.2 | 311 | 48th | |
| IFEval | 80.4 | 322 | 46th | |
| TruthfulQA | 78.2 | 249 | 59th | |
| HellaSwag | 82.7 | 328 | 45th | |
| MMMU | 70.7 | 279 | 54th | |
| Arena Elo | 1389.1 | 252 | 58th |
What GPT-5.2 Nano is good for
GPT-5.2 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 $9.73 per million input tokens with a 128,000-token window, check its benchmark profile against the specific task before committing.
Strengths
- Large 128,000-token context window for long documents and agent traces.
- 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 $9.73 per million tokens.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Gemma 3 | Google DeepMind | 65536 | $3.68 | 73.6 |
| GPT-5.2 Nano | OpenAI | 128000 | $9.73 | 73.5 |
| Llama 3.3 Groq Base | Groq | 16384 | $3.24 | 73.5 |
| Yi-Large | 01.AI | 32768 | $3.40 | 73.5 |
| Yi-Large Chat | 01.AI | 65536 | $3.49 | 73.5 |
| Nova Lite | Amazon | 65536 | $9.20 | 73.4 |
FAQ
How much does GPT-5.2 Nano cost?
GPT-5.2 Nano is listed at $9.73 per million input tokens and $49.56 per million output tokens. Cached input is $0.94 per million tokens. A blended 3:1 input-to-output mix is about $19.69 per million tokens.
What is the context window of GPT-5.2 Nano?
GPT-5.2 Nano has a context window of 128,000 tokens and can emit up to 16,384 output tokens per request in this index.
Is GPT-5.2 Nano open weights?
No. GPT-5.2 Nano is a proprietary model with a proprietary licence, so you cannot download the weights.
How does GPT-5.2 Nano score on benchmarks?
GPT-5.2 Nano averages 73.5 across the scored benchmarks in this index, ranking #285 of 600 models. Its strongest relative result is Arena Elo at 1389.1.
What is GPT-5.2 Nano best for?
GPT-5.2 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 $9.73 per million input tokens with a 128,000-token window, check its benchmark profile against the specific task before committing.