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AI Tools›Conversational AI›Microsoft Phi-4
Conversational AI

Microsoft Phi-4

A 14B parameter state-of-the-art small language model (SLM) that excels at complex reasoning in areas such as math, in addition to conventional language processing.

Updated Dec 16, 2025Open Sourcev2.0
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Overview

Exceptional performance in complex reasoning and mathematics for a model of its size.

Trained on a curated mix of high-quality synthetic and organic data, with a focus on educational value.

Open-source and available on platforms like Hugging Face, making it accessible to a wide range of developers and researchers.

Strong safety features, including integration with Azure AI Content Safety.

Pricing
Contact for pricing
Category
Conversational AI
Company
Microsoft
Visual Guide
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Key Features
01
Phi-4 is specifically designed for complex reasoning tasks, showing exceptional performance in areas like mathematics and logic problems.
02
With 14 billion parameters, Phi-4 is a small language model, making it suitable for environments with limited computational resources and for applications requiring low latency.
03
The model is trained on a carefully curated dataset of synthetic and organic data, with an emphasis on educational content and reasoning-heavy tasks.
04
Phi-4 is an open-source model, available on platforms like Hugging Face, allowing for greater transparency and community-driven development.
05
Microsoft has integrated robust safety features into Phi-4, including content filtering and responsible AI capabilities, to mitigate risks and ensure safe usage.
Real-World Use Cases

Educational Tools

Developing AI-powered tutors or homework assistants that can explain complex mathematical concepts and solve problems step-by-step.

Scientific Research

Assisting researchers in analyzing data, solving complex equations, and generating hypotheses in various scientific domains.

Code Generation and Debugging

Generating code snippets, debugging existing code, and providing explanations for complex algorithms.

Quick Start
1
Step 1
Visit the Hugging Face model page for Phi-4.
2
Step 2
Use the provided code snippets to load and run the model using the transformers library.
3
Step 3
Explore the model's capabilities by providing different prompts and tasks.
4
Step 4
For more advanced use cases, refer to the technical report and other documentation.
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Pricing
Model: Open Source
Azure AI
Contact for pricing
  • Access to Phi-4 and other models
  • Enterprise-grade security and compliance
  • Scalable infrastructure
Assessment
Strengths
  • State-of-the-art performance on reasoning tasks, especially math.
  • Small model size, making it efficient and suitable for on-device deployment.
  • Open-source, fostering collaboration and innovation.
  • Strong safety and responsibility features.
Limitations
  • Less proficient in tasks that require broad factual knowledge compared to larger models.
  • Primarily trained on English, so performance in other languages may be limited.
  • May not be suitable for all downstream use cases without further fine-tuning and evaluation.