Microsoft: Phi 4 Mini Instruct
Analysis Summary
Microsoft: Phi 4 Mini Instruct sits in the Efficient tier on our leaderboard, ranked #267 of 556 published models on overall intelligence. At $0.080 input and $0.350 output per 1M tokens, it is among the most expensive on the market. It offers a standard large context window.
Editorial notes
Phi 4 Mini Instruct is a compact model with very low benchmark scores across reasoning and coding; suitable only for lightweight edge tasks where cost and size are the primary constraints.
Assessed May 14, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
Phi-4-mini-instruct is a lightweight open model built upon synthetic data and filtered publicly available websites - with a focus on high-quality, reasoning dense data. The model belongs to the Phi-4..
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Microsoft: Phi 4 Mini Instruct stack up?
Compare side-by-side with other efficient models.
Model Information
| OpenRouter ID |
microsoft/phi-4-mini-instruct
|
| Provider | microsoft |
| Release Date | October 17, 2025 |
| Context Length | 131,072 tokens |
| Max Completion | 128,000 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.08 | $0.000080 |
| Output | $0.35 | $0.000350 |
