Skip to main content
Cloud & AI Hub
Browse
Glossary AI Directory Playgrounds Models Prompts Explainers Strategy Matrix Benchmark Decoder
Microsoft Released: 2024-04-23

Phi-3 Mini

Model Specifications

Context Window 128k tokens
Parameters 3.8B
Pricing (Input) $0.10 / M tokens
Pricing (Output) $0.30 / M tokens

What is Phi-3 Mini?

Phi-3 Mini is a highly efficient 3.8 billion parameter model developed by Microsoft, released in April 2024. Despite its small size, it scores competitively on reasoning benchmarks due to its high-quality training datasets.

It is designed to run on consumer hardware, laptops, and mobile devices, providing a cost-effective option for edge AI applications.

Key Capabilities

  • Ultra-lightweight footprint: Fits easily on mobile devices and edge systems.
  • MIT License: Open for commercial integration.
  • Strong performance: Out-performs older, larger models on reasoning tasks.

Ideal Use Cases

  • Mobile app integration: Running models offline on smartphones.
  • Lightweight text processing: Automating basic data classification.
  • Low-cost search integrations: Serving as a fast routing layer.

Historical figures, architectures, and capabilities are for informational purposes only. Not technical, professional, legal, or financial advice. Sources: Benchmark evaluations derived from public developer statements.