Meta Llama: Llama 3.2 11B Vision Instruct
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Model Card
Llama 3.2 11B Vision Instruct is Meta's multimodal model that processes both text and images with 11 billion parameters. It excels at visual recognition, image reasoning, captioning, and answering questions about images.
Context Window 131K
tokens
Max Output 16K
tokens
Input Cost $0.35
per million tokens
Output Cost $0.35
per million tokens
Release Date Sep 25, 2024
Output Speed 31
tokens / sec
Latency 0.28s
time to first token
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 Llama 3.2 11B Vision Instruct by Meta Llama 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 Llama 3.2 11B Vision Instruct 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 | $0.35 |
| Output | $0.35 |
Llama 3.2 11B Vision Instruct was created by Meta Llama and released on Sep 25, 2024.
Llama 3.2 11B Vision Instruct supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.
Llama 3.2 11B Vision Instruct can generate up to 16K tokens in a single response.
Llama 3.2 11B Vision Instruct scores 3.3 on the Artificial Analysis Intelligence Index, outperforming 8% of tracked models. On math, it scores 1.7 (outperforms 2% of models).
Yes — the Llama 3.2 11B Vision Instruct 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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