Phi 4 Mini Instruct
/v1/chat/completionsPhi-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.
Request body
Parameters supported by this model. Values, defaults, and limits are read from the model registry.
Model identifier. Set to microsoft/phi-4-mini-instruct.
Default: microsoft/phi-4-mini-instruct
Conversation messages in system, user, or assistant order.
Maximum number of tokens the model may generate in the response.
Range: −∞ to 128000
Sampling temperature. Lower values are more deterministic; higher values are more creative.
Range: 0 to 2
Default: 1
Nucleus sampling threshold. Use this or temperature, but usually not both.
Range: 0 to 1
When true, returns incremental Server-Sent Events instead of one completed response.
Default: false
Controls the response format, including JSON mode or structured JSON output when supported.
Sequences that stop generation when the model produces one of them.
Penalizes tokens that already appeared, encouraging the model to introduce new topics.
Range: -2 to 2
Penalizes repeated tokens, reducing repetition in the generated response.
Range: -2 to 2
Seed used to make sampling more reproducible when the provider supports it.
Request parameter supported by this model.
Range: 0 to ∞
Response Schema
Fields returned by this model API response.
Generated completion choices.
Unique chat completion identifier.
Model that generated the response.
Token usage when available.
Model capabilities
Capabilities declared by the model registry.
Default: chat, structured_output
Maximum context window accepted by this model.
Default: 128000 tokens
Execution mode declared by the model registry.
Default: sync

