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Microsoft Phi-4

AI Assistantsv2.0

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.

By Microsoft•Updated 2025-12-16•Visit Website ↗
Try Microsoft Phi-4

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.

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Interactive presentation with key insights and features

Key Features

brain

Phi-4 is specifically designed for complex reasoning tasks, showing exceptional performance in areas like mathematics and logic problems.

zap

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.

book-open

The model is trained on a carefully curated dataset of synthetic and organic data, with an emphasis on educational content and reasoning-heavy tasks.

github

Phi-4 is an open-source model, available on platforms like Hugging Face, allowing for greater transparency and community-driven development.

shield

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

For

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

Example Prompt / Workflow

Scientific Research

For

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

Example Prompt / Workflow

Code Generation and Debugging

For

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

Example Prompt / Workflow

Frequently Asked Questions

Pricing

Model: Open Source

Azure AI

Contact for pricing
  • ✓ Access to Phi-4 and other models
  • ✓ Enterprise-grade security and compliance
  • ✓ Scalable infrastructure

Pros & Cons

Pros

  • ✓ 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.

Cons

  • ✕ 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.

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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