Meta Llama: Llama 3.2 11B Vision Instruct (free)
meta-llama/llama3-11b-vision-instruct
Access Llama 3.2 11B Vision Instruct (free) from Meta Llama using Puter.js AI API.
Get Started// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "meta-llama/llama3-11b-vision-instruct"
}).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: "meta-llama/llama3-11b-vision-instruct"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
# pip install openai
from openai import OpenAI
client = OpenAI(
base_url="https://api.puter.com/puterai/openai/v1/",
api_key="YOUR_PUTER_AUTH_TOKEN",
)
response = client.chat.completions.create(
model="meta-llama/llama3-11b-vision-instruct",
messages=[
{"role": "user", "content": "Explain quantum computing in simple terms"}
],
)
print(response.choices[0].message.content)
curl https://api.puter.com/puterai/openai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
-d '{
"model": "meta-llama/llama3-11b-vision-instruct",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
Llama 3.2 11B Vision Instruct is Meta's 11-billion-parameter multimodal model, an instruction-tuned member of the Llama 3.2 family that accepts images alongside text and responds in text.
It is built for visual recognition, image captioning, visual question answering, and reasoning over charts, diagrams, and documents. On Meta's published benchmarks it scores 50.7 on MMMU (CoT), 88.4 on DocVQA, and 75.2 on VQAv2, and Meta reports it is competitive with Claude 3 Haiku and GPT-4o mini on image recognition and visual understanding tasks.
It has a 128K token context window, and this listing is free ($0 per million input and output tokens), making it a low-cost way to add image understanding, captioning, or document Q&A to an app.
Context Window 128K
tokens
Max Output 128K
tokens
Input Cost $0
per million tokens
Output Cost $0
per million tokens
Input text, image
modalities
Release Date Sep 25, 2024
Model Playground
Try Llama 3.2 11B Vision Instruct (free) instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
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Frequently Asked Questions
You can access Llama 3.2 11B Vision Instruct (free) 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 (free) 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 |
| Output | $0 |
Llama 3.2 11B Vision Instruct (free) was created by Meta Llama and released on Sep 25, 2024.
Llama 3.2 11B Vision Instruct (free) supports a context window of 128K tokens. For reference, that is roughly equivalent to 256 pages of text.
Llama 3.2 11B Vision Instruct (free) can generate up to 128K tokens in a single response.
Llama 3.2 11B Vision Instruct (free) accepts the following input types: text, image. It produces: text.
Yes — the Llama 3.2 11B Vision Instruct (free) 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.
Get started with Puter.js
Add Llama 3.2 11B Vision Instruct (free) to your app without worrying about API keys or setup.
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