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Open weightsMicrosoft/10 trustVerified
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Phi-4-mini-reasoning

3.8B math-focused reasoning model from Microsoft's Phi family.

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About

Phi-4-mini-reasoning is a 3.8-billion-parameter small language model released by Microsoft on April 30, 2025, designed and tested specifically for mathematical reasoning rather than general-purpose chat. It carries a 128k-token context window.

Its training recipe combined large-scale mid-training on distilled long reasoning traces, supervised fine-tuning, rollout DPO, and reinforcement learning with verifiable rewards. The mathematical synthetic corpus was generated using DeepSeek-R1, per the model card. Microsoft reported it outperforming OpenAI's o1-mini and DeepSeek-R1-Distill-Llama-70B on PhD-level math and science benchmarks. It is released under the MIT License.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

April 30, 2025

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

math-reasoningstemon-device-aieducationproblem-solving

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 103; Trending score 82/100 from researcher assessment.

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Sources