Audience
AI professionals and developers searching for a tool to power advanced inference on edge and mobile platforms
About Phi-4-mini-flash-reasoning
Phi-4-mini-flash-reasoning is a 3.8 billion‑parameter open model in Microsoft’s Phi family, purpose‑built for edge, mobile, and other resource‑constrained environments where compute, memory, and latency are tightly limited. It introduces the SambaY decoder‑hybrid‑decoder architecture with Gated Memory Units (GMUs) interleaved alongside Mamba state‑space and sliding‑window attention layers, delivering up to 10× higher throughput and a 2–3× reduction in latency compared to its predecessor without sacrificing advanced math and logic reasoning performance. Supporting a 64 K‑token context length and fine‑tuned on high‑quality synthetic data, it excels at long‑context retrieval, reasoning tasks, and real‑time inference, all deployable on a single GPU. Phi-4-mini-flash-reasoning is available today via Azure AI Foundry, NVIDIA API Catalog, and Hugging Face, enabling developers to build fast, scalable, logic‑intensive applications.
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GLM-5.3-Flash
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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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Company Information
Microsoft
Founded: 1975
United States
azure.microsoft.com/en-us/blog/reasoning-reimagined-introducing-phi-4-mini-flash-reasoning/
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Product Details
Platforms Supported
Cloud
Training
Documentation
Live Online
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Online
Phi-4-mini-flash-reasoning Frequently Asked Questions
Q: What kinds of users and organization types does Phi-4-mini-flash-reasoning work with?
Phi-4-mini-flash-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-flash-reasoning support in their product?
Phi-4-mini-flash-reasoning supports these languages: English.
Q: What kind of support options does Phi-4-mini-flash-reasoning offer?
Phi-4-mini-flash-reasoning offers support via phone support and online.
Q: What other applications or services does Phi-4-mini-flash-reasoning integrate with?
Phi-4-mini-flash-reasoning integrates with: Microsoft Foundry Agent Service, Microsoft Foundry, Hugging Face, Microsoft 365 Copilot, and NVIDIA DRIVE.
Q: Does Phi-4-mini-flash-reasoning have an API?
Yes, Phi-4-mini-flash-reasoning has an API.
Q: What type of training does Phi-4-mini-flash-reasoning provide?
Phi-4-mini-flash-reasoning provides training in the form of documentation, live online, webinars, in person, and videos.
