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Microsoft: Phi 4 Mini Instruct

microsoft/phi-4-mini-instruct

Released Oct 17, 2025128,000 context$0.08/M input tokens$0.35/M output tokens

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.

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Performance for Phi 4 Mini Instruct

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Effective Pricing for Phi 4 Mini Instruct

Actual cost per million tokens across providers over the past hour

Apps using Phi 4 Mini Instruct

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Recent activity on Phi 4 Mini Instruct

Total usage per day on OpenRouter

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Uptime stats for Phi 4 Mini Instruct

Uptime stats for Phi 4 Mini Instruct across all providers

Providers for Phi 4 Mini Instruct

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Sample code and API for Phi 4 Mini Instruct

OpenRouter normalizes requests and responses across providers for you.

OpenRouter provides an OpenAI-compatible completion API to 300+ models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.