microsoft/phi-4-mini-instruct
Phi-4-mini-instruct is a lightweight open model built upon synthetic data and filtered publicly available websites - with a focus on high-quality, reasoning dense data. The model belongs to the Phi-4...
| Provider | In $/M | Out $/M | Context | Uptime |
|---|---|---|---|---|
| WandBbf16 | $0.080 | $0.350 | 128K | — |
Phi 4 Mini Instruct costs $0.080 per million input tokens and $0.350 per million output tokens via OpenRouter, making it 37th cheapest of 298 paid models.
Phi 4 Mini Instruct scores 8.4 on the Artificial Analysis Intelligence Index, ranking 172nd of 178 benchmarked models, with a GPQA Diamond score of 33%.
Phi 4 Mini Instruct generates around 199 tokens per second with 166ms time-to-first-token (p50), the 16th fastest tracked model.
Phi 4 Mini Instruct supports a 131K-token context window and can output up to 128K tokens. It accepts text input.