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 model family and supports 128K token context length. The model underwent an enhancement process, incorporating both supervised fine-tuning and direct preference optimization to support precise instruction adherence and robust safety measures.
Modalities
Input Price
$0.08per 1M
Output Price
$0.35per 1M
Context
128K
Weekly Tokens
46.2M
Released
Oct 17, 2025