Microsoft: Phi 4
Analysis Summary
Microsoft: Phi 4 sits in the Efficient tier on our leaderboard, ranked #219 of 523 published models on overall intelligence. At $0.065 input and $0.140 output per 1M tokens, it is among the most expensive on the market. It offers a compact context window.
Editorial notes
Microsoft's Phi-4 is a compact, affordable model that punches above its weight on maths benchmarks but shows limited agentic capability and a very small 16K context window. It is best suited to focused analytical or educational tasks rather than broad business workflows.
Assessed April 23, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
Microsoft Research Phi-4 is designed to perform well in complex reasoning tasks and can operate efficiently in situations with limited memory or where quick responses are needed. At 14 billion..
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Microsoft: Phi 4 stack up?
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Model Information
| OpenRouter ID |
microsoft/phi-4
|
| Provider | microsoft |
| Release Date | January 10, 2025 |
| Context Length | 16,384 tokens |
| Max Completion | 16,384 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.07 | $0.000065 |
| Output | $0.14 | $0.000140 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
Leaderboard Categories
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Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: April 24, 2026 12:17 pm