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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 | Phi-4-mini-instruct Microsoft |
|---|---|
| Summary | A smaller Phi-4 model for efficient local and edge text applications with long context. |
| Best for | On-device assistants, extraction, classification, private RAG |
| Watch out for | Lower reasoning and knowledge capacity than full Phi-4. |
| Family | Phi-4 |
| Type | General LLM |
| Status | GA / open weights |
| Released | 2025-02-26 |
| Context window | 131.1K |
| Max output | 4.1K |
| Inputs | Text |
| Outputs | Text |
| Reasoning | General reasoning |
| Tool calling | Host dependent |
| Structured output | Host dependent |
| API available | Yes and self-hosted |
| Open weights | Yes |
| Self-hostable | Yes |
| License | MIT |
| Price | See provider pricing |