Analysis Summary
Microsoft Phi 4 is a compact text model priced for economical use, with a 16K context window. The supplied results show stronger mathematical performance than its general intelligence score suggests, alongside useful coding and code-generation signals. That profile makes it relevant to narrow technical prompts where the input and expected answer can remain tightly bounded.
It can serve formula generation, lightweight coding assistance, structured extraction, and inexpensive classification. The short context window limits long briefs, codebases, and document analysis, while the measured instruction-following result creates additional risk for precise client-facing content. It also lacks the tool and function-calling indicators available on several alternatives in this batch. Use Phi 4 for focused, testable subroutines rather than as a general agency assistant, especially when low cost matters more than broad workflow coverage.
Assessed August 9, 2026
Editorial notes
Phi 4 combines very low pricing with useful mathematical and coding signals, but its 16K context window and weak instruction-following result make it better for focused tasks than broad client workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Phi 4 combines very low pricing with useful mathematical and coding signals, but its 16K context window and weak instruction-following result make it better for focused tasks than broad client workflows.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
4.6 Intelligence Index·18 Math Index
How Microsoft: Phi 4 compares
Microsoft: Phi 4 ranks #365 of 432 AI models we track for overall intelligence. Its 16K-token context window is larger than 21% of the models we list. At $0.07 per million input tokens it is cheaper than 73% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.07 | $0.000070 |
| Output | $0.14 | $0.000140 |
What would Microsoft: Phi 4 cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 743 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Microsoft: Phi 4 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Microsoft: Phi 4
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..
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Frequently asked questions about Microsoft: Phi 4
How much does Microsoft: Phi 4 cost?
Microsoft: Phi 4 costs $0.07 per million input tokens and $0.14 per million output tokens.
What is the context window of Microsoft: Phi 4?
Microsoft: Phi 4 has a context window of 16,384 tokens (16K).
Who created Microsoft: Phi 4?
Microsoft: Phi 4 is developed by Microsoft and was released on January 10, 2025.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: September 2, 2026 11:59 am