Microsoft Phi-4

Microsoft Phi-4

WebsiteFreemiumLarge Language Models (LLMs)AI Code Assistant
Microsoft Phi-4 is a 14B parameter state-of-the-art small language model (SLM) that excels at complex reasoning tasks, particularly in mathematics, while maintaining efficiency and low latency.
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Microsoft Phi-4

Product Information

Updated:Jun 16, 2025

Microsoft Phi-4 Monthly Traffic Trends

Microsoft Phi-4 experienced a 3.5% decline in traffic, with 6.8M visits in the current month. Lack of direct product updates and the significant updates to Azure AI Foundry and other Azure products at the Microsoft Build 2025 conference might have drawn attention away from Phi-4, affecting its user engagement.

View history traffic

What is Microsoft Phi-4

Microsoft Phi-4 is the latest addition to the Phi family of small language models, designed to deliver powerful AI capabilities with significantly fewer parameters than traditional large language models. As a 14B parameter model, Phi-4 represents a breakthrough in efficient AI model design, combining advanced reasoning capabilities with practical deployment flexibility. It is currently available on Azure AI Foundry under a Microsoft Research License Agreement (MSRLA) and will be available on Hugging Face, making it accessible to developers and researchers.

Key Features of Microsoft Phi-4

Microsoft Phi-4 is a 14B parameter state-of-the-art small language model (SLM) that excels at complex reasoning, particularly in mathematics. It represents an advancement in efficient AI models, combining high performance with smaller size through innovations in training processes, including high-quality synthetic datasets, careful curation of organic data, and post-training optimizations. The model is available on Azure AI Foundry and Hugging Face, designed with rigorous safety measures and Azure AI Content Safety features.
Advanced Mathematical Reasoning: Outperforms comparable and larger models specifically in math-related reasoning tasks through advanced training processes
Efficient Architecture: 14B parameter design that delivers high performance while maintaining a relatively small model size compared to larger language models
Integrated Safety Features: Includes built-in safety measures like prompt shields, protected material detection, and real-time monitoring capabilities
Multiple Deployment Options: Available through both Azure AI Foundry and Hugging Face platforms, offering flexibility in deployment and usage

Use Cases of Microsoft Phi-4

Mathematical Problem Solving: Ideal for complex mathematical computations and reasoning tasks in educational or research settings
Enterprise Applications: Suitable for business applications requiring efficient, cost-effective AI solutions with strong reasoning capabilities
Research and Development: Valuable for academic and scientific research requiring advanced reasoning capabilities with lower computational requirements

Pros

Superior performance in mathematical reasoning compared to similar-sized models
More efficient resource utilization due to smaller size
Strong built-in safety features and monitoring capabilities

Cons

Limited context window compared to larger language models
May not match the broad capabilities of larger models in non-mathematical tasks

How to Use Microsoft Phi-4

Note: Phi-4 does not exist: The current Phi model family includes: Phi-1 (Python coding), Phi-1.5 (reasoning and understanding), Phi-2 (language comprehension), Phi-3 (language understanding and reasoning tasks), and Phi-3-vision (multimodal capabilities). There is no Phi-4 model mentioned in the source material.

Microsoft Phi-4 FAQs

Phi is a family of small language models (SLMs) developed by Microsoft. The versions include: Phi-1 (for Python coding), Phi-1.5 (for reasoning and understanding), Phi-2 (for language comprehension), and Phi-3 (for language understanding, reasoning tasks, and coding).

Official Posts

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Microsoft Phi-4 Video

Analytics of Microsoft Phi-4 Website

Microsoft Phi-4 Traffic & Rankings
6.8M
Monthly Visits
-
Global Rank
-
Category Rank
Traffic Trends: Jun 2024-May 2025
Microsoft Phi-4 User Insights
00:01:57
Avg. Visit Duration
1.94
Pages Per Visit
61.09%
User Bounce Rate
Top Regions of Microsoft Phi-4

  1. US: 19.1%

  2. IN: 9.73%

  3. JP: 5.14%

  4. BR: 4.24%

  5. GB: 4.1%

  6. Others: 57.68%

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