Google: Gemma 3n 2B

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Gemma 3n E2B Instruct (Free) is Google's mobile-first open model with an effective 2B parameter memory footprint using Per-Layer Embeddings. It's optimized for on-device AI with audio, text, image, and video understanding.

Context Window 8K

tokens

Max Output 2K

tokens

Input Cost $0

per million tokens

Output Cost $0

per million tokens

Release Date Jun 25, 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

How do I use Gemma 3n 2B?

You can access Gemma 3n 2B 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.

Is Gemma 3n 2B free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Gemma 3n 2B to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.

What is the pricing for Gemma 3n 2B?
Gemma 3n 2B costs $0 per 1M input tokens and $0 per 1M output tokens.
Price per 1M tokens
Input$0
Output$0
Who created Gemma 3n 2B?

Gemma 3n 2B was created by Google and released on Jun 25, 2025.

What is the context window of Gemma 3n 2B?

Gemma 3n 2B supports a context window of 8K tokens. For reference, that is roughly equivalent to 16 pages of text.

What is the max output length of Gemma 3n 2B?

Gemma 3n 2B can generate up to 2K tokens in a single response.

How does Gemma 3n 2B perform on benchmarks?

Gemma 3n 2B scores 4.8 on the Artificial Analysis Intelligence Index, outperforming 0% of tracked models. On coding, it scores 2.2 (outperforms 4% of models). On math, it scores 10.3 (outperforms 13% of models).

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

Yes — the Gemma 3n 2B 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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