Phi-4-mini-instruct is a lightweight open model trained on synthetic and curated public data, designed to handle reasoning-heavy tasks efficiently.
- Strengths
- The model excels at instruction-following and reasoning tasks despite its compact size, making it suitable for resource-constrained deployments.
- Best for
- Applications requiring on-device inference or cost-efficient processing where reasoning capability matters more than scale.
- Limitations
- As a smaller model, it may struggle with complex multi-step problems, specialized domain knowledge, or tasks requiring extensive context beyond what training data covered.
Input / 1M
$0.08
Output / 1M
$0.35
Cached input / 1M
$0.08
Context window
128K
Price history
Snapshots
| Effective | Input | Output | Cached in | Note | Source |
|---|---|---|---|---|---|
| 11 Jun 2026 | $0.08 | $0.35 | $0.08 | Imported from OpenRouter | openrouter.ai |