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Microsoft

Phi 4

[Microsoft Research](/microsoft) 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 a glance

Input / 1M
$0.07
Output / 1M
$0.14
Context
16K
Max output
15K
Intelligence
5.9
Released
Jan 2025
Text input

Pricing

Phi 4 API pricing

Per-token rates, plus what common tasks actually cost.

Input tokensPer 1M tokens$0.07
Output tokensPer 1M tokens$0.14
Cached input (read)Per 1M tokensNot available
Cache writePer 1M tokensNot available

Chat message

2K in, 500 out

$0.21

per 1,000 requests

Coding task

30K in, 4K out

$2.66

per 1,000 requests

Long document summary

150K in, 2K out

$10.78

per 1,000 requests

Benchmarks

Phi 4 benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

5.9

Coding index

Not available

Agentic index

Not available

Specs

Context window and capabilities

What it can read, what it can write, and which API features it supports.

Context window
16K tokens
Max output
15K tokens
Input types
Text
Output types
Text
Reasoning effort
Not available
Release date
January 10, 2025
Knowledge cutoff
June 30, 2024
  • Tool calling
  • Structured outputs
  • JSON mode
  • Reasoning
  • Temperature
  • Stop sequences
  • Deterministic seed
  • Verbosity control

FAQ

Frequently asked questions

How much does Phi 4 cost?

Phi 4 costs $0.07 per 1M input tokens and $0.14 per 1M output tokens through the API. A typical chat message costs about $0.21 per 1,000 messages.

What is the context window of Phi 4?

Phi 4 accepts up to 16K tokens of input and can write up to 15K tokens in a single response.

What is the best alternative to Phi 4?

Llama 3.1 8B Instruct from Meta is a strong alternative. It offers: 1.8x cheaper output, higher intelligence score, larger 131k context.

Can I use Phi 4 alongside other models?

Yes. Shortcut Chat sends one prompt to Phi 4 and any other models you pick at the same time, so you can compare answers side by side.

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Try Phi 4 next to every other model.

Use Phi 4 alongside all the other models. Use one at a time, or multiple together. Get the best answer from every AI.