// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "microsoft/phi-4"
}).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"
}).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",
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",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
Phi-4 is a 14B parameter small language model from Microsoft that excels at complex reasoning tasks, especially mathematics, outperforming many larger models on math competition benchmarks while being efficient enough for edge deployment.
Context Window 16K
tokens
Max Output 16K
tokens
Input Cost $0.07
per million tokens
Output Cost $0.14
per million tokens
Release Date Dec 12, 2024
Output Speed 27
tokens / sec
Latency 0.50s
time to first token
Model Playground
Try Phi 4 instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
Benchmarks
How Phi 4 performs on standard evaluations.
| Benchmark | Score |
|---|---|
| GPQA Diamond Graduate-level science Q&A | 57.5% |
| Humanity's Last Exam Cross-domain reasoning | 4.1% |
| LiveCodeBench Recent coding problems | 23.1% |
| SciCode Scientific programming | 26.0% |
| MATH-500 Competition math | 81.0% |
| AIME 2024 Advanced math exam | 14.3% |
| AIME 2025 Advanced math exam | 18.0% |
| IFBench Instruction following | 23.5% |
| LCR Long-context reasoning | 0.0% |
| Terminal-Bench Hard Agentic terminal tasks | 3.8% |
| τ²-Bench Tool use / agents | 0.0% |
Scores sourced from Artificial Analysis.
Frequently Asked Questions
You can access Phi 4 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 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 | $0.07 |
| Output | $0.14 |
Phi 4 was created by Microsoft and released on Dec 12, 2024.
Phi 4 supports a context window of 16K tokens. For reference, that is roughly equivalent to 33 pages of text.
Phi 4 can generate up to 16K tokens in a single response.
Yes — the Phi 4 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 to your app without worrying about API keys or setup.
Read the Docs View Tutorials