Phi-4-instruct (reasoning-trained)
Phi-4-instruct (reasoning-trained) is an AI model published by Microsoft Azure, released on 2025-02-27, for Reasoning model, with 3.8B parameters, and 128K context length, requiring about 7.67GB storage, under the 不开源 license, with a 90.40 score on MATH-500.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
Official resources
API details
Benchmark Results
Phi-4-instruct (reasoning-trained) currently shows benchmark results led by AIME 2024 (46 / 62, score 50), MATH-500 (36 / 44, score 90.40), GPQA Diamond (156 / 179, score 49). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Math and Reasoning
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Model Overview
Phi-4-instruct (reasoning-trained) is an AI model published by Microsoft Azure, released on 2025-02-27, for Reasoning model, with 3.8B parameters, and 128K context length, requiring about 7.67GB storage, under the 不开源 license, with a 90.40 score on MATH-500.
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