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
Gemma 3n 4B is no longer available through Puter.js. Explore other AI models for alternatives.
| 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 4.8 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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