Google: Gemma 2 9B
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Gemma 2 9B Instruct is Google's efficient open-weight language model with 9 billion parameters, trained using knowledge distillation from the 27B model. It delivers strong performance for text generation while running on consumer hardware.
Context Window 8K
tokens
Max Output N/A
tokens
Input Cost $0.03
per million tokens
Output Cost $0.09
per million tokens
Release Date Jun 27, 2024
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 2 9B 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 2 9B 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 | $0.03 |
| Output | $0.09 |
Gemma 2 9B was created by Google and released on Jun 27, 2024.
Gemma 2 9B supports a context window of 8K tokens. For reference, that is roughly equivalent to 16 pages of text.
Yes — the Gemma 2 9B 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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