IBM Granite: Granite 4.2 8B

ibm-granite/granite-4.2-8b

Try Granite 4.2 8B for free in your browser, and add it to your app for free with Puter.js AI API.

Try it free Add to your app

// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms", {
    model: "ibm-granite/granite-4.2-8b"
}).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-4.2-8b"
        }).then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

Model Card

Granite 4.2 8B is a dense, decoder-only language model from IBM, post-trained from Granite 4.1 8B Base with native reasoning added on top. It switches between three modes: full chain-of-thought thinking, a low-effort abbreviated reasoning mode for easy questions, and non-thinking for direct answers, so the reasoning budget can be tuned per request.

It was trained with agentic reinforcement learning to call tools, edit and run code, drive a terminal, and search the web inside real environments, and it emits tool calls in the OpenAI function-calling format for direct use with existing agent frameworks. It supports a 128K-token context window and 12 languages including English, German, Spanish, French, Japanese, and Chinese.

On benchmarks, it scores 47.67 on SWE-Bench Verified, 86.67 on AIME25, 74.04 on MMLU-Pro, and 65.19 on Arena-Hard-v2, and it posts an Artificial Analysis Intelligence Index score of 20, well above the median of 9 for open-weight models of similar size. Released under Apache 2.0, it's a solid pick for agentic coding, tool-calling workflows, and multilingual tasks at a dense 8B parameter count.

Context Window 131K

tokens

Max Output 118K

tokens

Input Cost $0.06

per million tokens

Output Cost $0.25

per million tokens

Input text

modalities

Tool Use Yes

Release Date Aug 31, 2026

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Granite 4.0 Micro

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.

Frequently Asked Questions

How do I use Granite 4.2 8B?

You can access Granite 4.2 8B 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.

Can I try Granite 4.2 8B for free?

Granite 4.2 8B is free to try with a Puter account. Every account includes a free AI allowance, and you can chat with it in the playground on this page. You can upgrade your account anytime for a larger allowance.

Is the Granite 4.2 8B API free for developers?

Granite 4.2 8B is free to integrate using the Puter.js AI API. With the User-Pays Model, you can add AI to your app for $0, since users cover their own AI usage through their Puter account.

What is the pricing for Granite 4.2 8B?

Granite 4.2 8B costs $0.06 per 1M input tokens and $0.25 per 1M output tokens.

	Price per 1M tokens
Input	$0.06
Output	$0.25

Who created Granite 4.2 8B?

Granite 4.2 8B was created by IBM Granite and released on Aug 31, 2026.

What is the context window of Granite 4.2 8B?

Granite 4.2 8B supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.

What is the max output length of Granite 4.2 8B?

Granite 4.2 8B can generate up to 118K tokens in a single response.

What types of input can Granite 4.2 8B process?

Granite 4.2 8B accepts the following input types: text. It produces: text.

Does Granite 4.2 8B support tool use (function calling)?

Yes, Granite 4.2 8B supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.

Does it work with React / Vue / Vanilla JS / Node / etc.?

Yes — the Granite 4.2 8B 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.

Add Granite 4.2 8B to your app for free

Developers can integrate Granite 4.2 8B for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.

Get started How pricing works