NVIDIA: Nemotron Nano 12B 2 VL
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Nemotron Nano 12B V2 VL is a 12.6B parameter multimodal vision-language model built on a hybrid Mamba-Transformer architecture for document intelligence and video understanding. It processes multiple images, documents, and videos while achieving leading results on OCRBench v2 with up to 2.5x higher throughput using Efficient Video Sampling.
Context Window 131K
tokens
Max Output 16K
tokens
Input Cost $0.2
per million tokens
Output Cost $0.6
per million tokens
Release Date Aug 18, 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 Nemotron Nano 12B 2 VL by NVIDIA 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 Nemotron Nano 12B 2 VL 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 | $0.2 |
| Output | $0.6 |
Nemotron Nano 12B 2 VL was created by NVIDIA and released on Aug 18, 2025.
Nemotron Nano 12B 2 VL supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.
Nemotron Nano 12B 2 VL can generate up to 16K tokens in a single response.
Yes — the Nemotron Nano 12B 2 VL 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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