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Pick up to four models and compare the trade-offs that matter: context, price, API access, weights, inputs, outputs, and use cases.
| Attribute | GPT-5 nano OpenAI |
|---|---|
| Summary | Very small GPT-5 model for classification, extraction, and routing. |
| Best for | High-volume text and vision workloads |
| Watch out for | Older generation than GPT-5.6; capability and lifecycle may change. |
| Family | GPT-5 |
| Type | Reasoning LLM |
| Status | Legacy / available |
| Released | 2025-08-07 |
| Context window | 400K |
| Max output | 128K |
| Inputs | Text, image |
| Outputs | Text |
| Reasoning | Yes |
| Tool calling | Yes |
| Structured output | Yes |
| API available | Yes |
| Open weights | No |
| Self-hostable | No |
| License | Proprietary |
| Price | $0.05 input / $0.40 output per 1M tokens |