Phi-3 / Phi-4

Microsoft's Phi series punches far above its weight, with the 3.8B model outperforming many 7B competitors on reasoning benchmarks. The MIT license and small footprint mean it runs on laptops and even phones without a GPU. Perfect for edge deployment, mobile apps, and developers with limited hardware.

AI ToolFree Tier: MIT; 3.8B to 14BCompany: Microsoft ResearchCategory: Open-Source ModelsOpen Source: YesQuick Start: Run 'ollama run phi3' for instant local setup → Use the MIT-licensed weights in any project → Deploy on-device for offline AI capabilities

Phi-3 / Phi-4

Best small models — consumer hardware

Visit Phi-3 / Phi-4 →

Microsoft's Phi series punches far above its weight, with the 3.8B model outperforming many 7B competitors on reasoning benchmarks. The MIT license and small footprint mean it runs on laptops and even phones without a GPU. Perfect for edge deployment, mobile apps, and developers with limited hardware.

FREE TIER
MIT; 3.8B to 14B
COMPANY
Microsoft Research
CATEGORY
Open-Source Models › Large Language Models
OPEN SOURCE
Yes
PRIVACY
Runs on consumer HW
TAGS
llmsmall

QUICK START

Run 'ollama run phi3' for instant local setup → Use the MIT-licensed weights in any project → Deploy on-device for offline AI capabilities

BEST FOR

  • ▸Developers building local AI apps for phones/laptops; runs on consumer hardware.
  • ▸Edge deployment for privacy-focused apps; powerful, efficient local processing.
  • ▸Researchers or hobbyists seeking SOTA performance from compact, open models.

NOT FOR

  • ✕Users needing enterprise-grade SOTA for complex tasks; look to larger cloud models.
  • ✕Those who prefer managed cloud APIs over self-hosting and local setup.
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