Google: Gemma 3n 4B
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Gemma 3n E4B Instruct is Google's mobile-optimized model with a 4B active memory footprint containing a nested 2B submodel for flexible quality-latency tradeoffs. It supports real-time multimodal processing on edge devices.
Context Window 33K
tokens
Max Output 29K
tokens
Input Cost $0.06
per million tokens
Output Cost $0.12
per million tokens
Release Date May 20, 2025
Code Example
Add AI to your app with the Puter.js AI API — no API keys or setup required.
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms").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").then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
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Frequently Asked Questions
You can access Gemma 3n 4B by Google 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 Gemma 3n 4B 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 | $0.06 |
| Output | $0.12 |
Gemma 3n 4B was created by Google and released on May 20, 2025.
Gemma 3n 4B supports a context window of 33K tokens. For reference, that is roughly equivalent to 66 pages of text.
Gemma 3n 4B can generate up to 29K tokens in a single response.
Gemma 3n 4B scores 1.0 on the Artificial Analysis Intelligence Index, outperforming 0% of tracked models. On coding, it scores 3.2 (outperforms 2% of models). On math, it scores 14.3 (outperforms 18% of models).
Yes — the Gemma 3n 4B 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.
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