IBM Granite: Granite 4.0 Micro
ibm-granite/granite-4.0-h-micro
Access Granite 4.0 Micro from IBM Granite 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: "ibm-granite/granite-4.0-h-micro"
}).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: "ibm-granite/granite-4.0-h-micro"
}).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="ibm-granite/granite-4.0-h-micro",
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": "ibm-granite/granite-4.0-h-micro",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
Granite 4.0 Micro is a 3B-parameter dense language model from IBM, built on a conventional transformer architecture and optimized for low-latency, cost-efficient workloads.
Despite its compact size, it significantly outperforms its predecessor Granite 3.3 8B across the board — a model more than twice its size. It scores 16 on the Artificial Analysis Intelligence Index, placing ahead of Gemma 3 4B (15). In RAG benchmarks, it outperforms much larger models including Llama 3.3 70B and Qwen3 8B.
The model natively supports tool calling, function calling, multilingual generation, fill-in-the-middle code completion, RAG, and structured JSON output, with a 128K token context window. It's a strong fit for agentic sub-tasks, API orchestration, and scenarios where speed and cost matter more than peak reasoning power.
Context Window 131K
tokens
Max Output N/A
tokens
Input Cost $0.02
per million tokens
Output Cost $0.11
per million tokens
Release Date May 19, 2025
Model Playground
Try Granite 4.0 Micro instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
Frequently Asked Questions
You can access Granite 4.0 Micro by IBM Granite 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 Granite 4.0 Micro 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 | $0.02 |
| Output | $0.11 |
Granite 4.0 Micro was created by IBM Granite and released on May 19, 2025.
Granite 4.0 Micro supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.
Yes — the Granite 4.0 Micro 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 Granite 4.0 Micro to your app without worrying about API keys or setup.
Read the Docs View Tutorials