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MicrosoftReleased December 12, 2024

Phi-4

Open Source#28 Arena Rank14B parameters

Phi-4 holds a solid spot in the Arena rankings at #28. Context window: 0.016K tokens.

Context

16K

Input

Free

Key Specifications

🏆

Arena Rank

#28

📐

Context Window

16K

📥

Input Price

per 1M tokens

Free

📤

Output Price

per 1M tokens

Free

🧠

Parameters

14B

🔓

Open Source

Yes

Best For

Small model researchedge deploymentreasoning

About Phi-4

Phi-4, developed by Microsoft, is a compact open-source language model that demonstrates remarkable capability relative to its size through innovative training on high-quality synthetic and curated data. The model achieves performance comparable to much larger models on reasoning, coding, and STEM tasks, embodying the principle that data quality matters more than parameter count. As an open-source model, Phi-4 is ideal for on-device deployment, edge computing, and applications requiring local AI processing without cloud connectivity. Its small footprint enables inference on consumer hardware and mobile devices. The model has been influential in proving that careful data curation and training methodology can substitute for massive scale. Phi-4 represents Microsoft's continued investment in efficient AI, advancing the thesis established by the Phi-1 and Phi-2 research papers.

Pricing per 1M tokens

Input Tokens

Free

Output Tokens

Free

Frequently Asked Questions

What is Phi-4?
Phi-4, developed by Microsoft, is a compact open-source language model that demonstrates remarkable capability relative to its size through innovative training on high-quality synthetic and curated data. The model achieves performance comparable to much larger models on reasoning, coding, and STEM tasks, embodying the principle that data quality matters more than parameter count. As an open-source model, Phi-4 is ideal for on-device deployment, edge computing, and applications requiring local AI processing without cloud connectivity. Its small footprint enables inference on consumer hardware and mobile devices. The model has been influential in proving that careful data curation and training methodology can substitute for massive scale. Phi-4 represents Microsoft's continued investment in efficient AI, advancing the thesis established by the Phi-1 and Phi-2 research papers.
How much does Phi-4 cost?
Microsoft charges Free per 1M input tokens for Phi-4, with output at Free. Completely free.
What is Phi-4's context window?
Phi-4 supports up to 16K tokens per request. A larger context window allows the model to reason over longer inputs, which matters for document analysis, code review, and multi-turn conversations.
Is Phi-4 open source?
Yes — Microsoft released Phi-4 as open source. That means you're free to deploy it however you want: cloud, on-prem, edge. No API lock-in.
What is Phi-4 best for?
Microsoft positions Phi-4 for: Small model research, edge deployment, reasoning. Real-world performance will depend on your specific prompts and data, but these are the intended strengths.