Google: Gemma 3 12B
google/gemma-3-12b-it
Try Gemma 3 12B 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: "google/gemma-3-12b-it"
}).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: "google/gemma-3-12b-it"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
Model Card
Gemma 3 12B Instruct is Google's mid-sized open multimodal model supporting text and image input with a 128K token context window. It supports 140+ languages and offers strong performance for single-GPU deployment.
Context Window 131K
tokens
Max Output 131K
tokens
Input Cost $0.05
per million tokens
Output Cost $0.15
per million tokens
Release Date Mar 13, 2025
Try Gemma 3 12B for free
Try Gemma 3 12B instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
Benchmarks
How Gemma 3 12B performs on standard evaluations.
| Benchmark | Score |
|---|---|
| GPQA Diamond Graduate-level science Q&A | 34.9% |
| Humanity's Last Exam Cross-domain reasoning | 4.2% |
| LiveCodeBench Recent coding problems | 13.7% |
| SciCode Scientific programming | 16.4% |
| MATH-500 Competition math | 85.3% |
| AIME 2024 Advanced math exam | 22.0% |
| AIME 2025 Advanced math exam | 18.3% |
| IFBench Instruction following | 36.7% |
| LCR Long-context reasoning | 8.3% |
| Terminal-Bench Hard Agentic terminal tasks | 0.8% |
| τ²-Bench Tool use / agents | 10.8% |
Scores sourced from Artificial Analysis.
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Frequently Asked Questions
You can access Gemma 3 12B 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.
Gemma 3 12B 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.
Gemma 3 12B 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.
| Price per 1M tokens | |
|---|---|
| Input | $0.05 |
| Output | $0.15 |
Gemma 3 12B was created by Google and released on Mar 13, 2025.
Gemma 3 12B supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.
Gemma 3 12B can generate up to 131K tokens in a single response.
Gemma 3 12B scores 3.8 on the Artificial Analysis Intelligence Index, outperforming 0% of tracked models. On coding, it scores 5.8 (outperforms 5% of models). On math, it scores 18.3 (outperforms 20% of models).
Yes — the Gemma 3 12B 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 Gemma 3 12B to your app for free
Developers can integrate Gemma 3 12B for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.