Microsoft: Phi 4 Mini
microsoft/phi-4-mini-instruct
Access Phi 4 Mini from Microsoft using Puter.js AI API.
Get Started// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "microsoft/phi-4-mini-instruct"
}).then(response => {
document.body.innerHTML = response.message.content;
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain quantum computing in simple terms", {
model: "microsoft/phi-4-mini-instruct"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
# pip install openai
from openai import OpenAI
client = OpenAI(
base_url="https://api.puter.com/puterai/openai/v1/",
api_key="YOUR_PUTER_AUTH_TOKEN",
)
response = client.chat.completions.create(
model="microsoft/phi-4-mini-instruct",
messages=[
{"role": "user", "content": "Explain quantum computing in simple terms"}
],
)
print(response.choices[0].message.content)
curl https://api.puter.com/puterai/openai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
-d '{
"model": "microsoft/phi-4-mini-instruct",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
Phi-4 Mini is a 3.8-billion-parameter small language model developed by Microsoft, designed to deliver strong reasoning performance in a compact form factor. It uses a dense decoder-only Transformer architecture with grouped-query attention and supports context lengths up to 128K tokens.
The model excels at math, logic, coding, instruction following, and function calling — making it well-suited for agentic workflows that integrate external tools and APIs. It supports over 20 languages thanks to its expanded 200K-token vocabulary.
Despite its small size, Phi-4 Mini performs competitively with much larger models on text-based reasoning tasks. It scored 88.6% on GSM8K and 83.7% on ARC-Challenge. It's a strong choice for developers who need capable reasoning at low latency and minimal compute cost.
Context Window 128K
tokens
Max Output 128K
tokens
Input Cost $0.08
per million tokens
Output Cost $0.35
per million tokens
Release Date Oct 17, 2025
Model Playground
Try Phi 4 Mini instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
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Frequently Asked Questions
You can access Phi 4 Mini by Microsoft through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Phi 4 Mini to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $0.08 |
| Output | $0.35 |
Phi 4 Mini was created by Microsoft and released on Oct 17, 2025.
Phi 4 Mini supports a context window of 128K tokens. For reference, that is roughly equivalent to 256 pages of text.
Phi 4 Mini can generate up to 128K tokens in a single response.
Yes — the Phi 4 Mini API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
Get started with Puter.js
Add Phi 4 Mini to your app without worrying about API keys or setup.
Read the Docs View Tutorials