Audience
Developers wanting an AI model for educational tools and embedded tutoring
About Phi-4-mini-reasoning
Phi-4-mini-reasoning is a 3.8-billion parameter transformer-based language model optimized for mathematical reasoning and step-by-step problem solving in environments with constrained computing or latency. Fine-tuned with synthetic data generated by the DeepSeek-R1 model, it balances efficiency with advanced reasoning ability. Trained on over one million diverse math problems spanning multiple levels of difficulty from middle school to Ph.D. level, Phi-4-mini-reasoning outperforms its base model on long sentence generation across various evaluations and surpasses larger models like OpenThinker-7B, Llama-3.2-3B-instruct, and DeepSeek-R1. It features a 128K-token context window and supports function calling, enabling integration with external tools and APIs. Phi-4-mini-reasoning can be quantized using Microsoft Olive or Apple MLX Framework for deployment on edge devices such as IoT, laptops, and mobile devices.
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Phi-4-reasoning
Phi-4-reasoning is a 14-billion parameter transformer-based language model optimized for complex reasoning tasks, including math, coding, algorithmic problem solving, and planning. Trained via supervised fine-tuning of Phi-4 on carefully curated "teachable" prompts and reasoning demonstrations generated using o3-mini, it generates detailed reasoning chains that effectively leverage inference-time compute. Phi-4-reasoning incorporates outcome-based reinforcement learning to produce longer reasoning traces. It outperforms significantly larger open-weight models such as DeepSeek-R1-Distill-Llama-70B and approaches the performance levels of the full DeepSeek-R1 model across a wide range of reasoning tasks. Phi-4-reasoning is designed for environments with constrained computing or latency. Fine-tuned with synthetic data generated by DeepSeek-R1, it provides high-quality, step-by-step problem solving.
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Company Information
Microsoft
Founded: 1975
United States
azure.microsoft.com/en-us/blog/one-year-of-phi-small-language-models-making-big-leaps-in-ai/
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Product Details
Platforms Supported
Cloud
Training
Documentation
Live Online
Webinars
In Person
Videos
Support
Phone Support
Online
Phi-4-mini-reasoning Frequently Asked Questions
Q: What kinds of users and organization types does Phi-4-mini-reasoning work with?
Phi-4-mini-reasoning works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Phi-4-mini-reasoning support in their product?
Phi-4-mini-reasoning supports these languages: English.
Q: What kind of support options does Phi-4-mini-reasoning offer?
Phi-4-mini-reasoning offers support via phone support and online.
Q: What other applications or services does Phi-4-mini-reasoning integrate with?
Phi-4-mini-reasoning integrates with: Microsoft Foundry, Microsoft Foundry Models, Microsoft Azure, ExecuTorch, and Hugging Face.
Q: Does Phi-4-mini-reasoning have an API?
Yes, Phi-4-mini-reasoning has an API.
Q: What type of training does Phi-4-mini-reasoning provide?
Phi-4-mini-reasoning provides training in the form of documentation, live online, webinars, in person, and videos.
