Meta Llama

Meta Llama: Llama 3.2 11B Vision Instruct

meta-llama/llama-3.2-11b-vision-instruct

Access Llama 3.2 11B Vision Instruct 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/llama-3.2-11b-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/llama-3.2-11b-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/llama-3.2-11b-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/llama-3.2-11b-vision-instruct",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

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 $0.25

per million tokens

Output Cost $0.25

per million tokens

Release Date Sep 25, 2024

 

Output Speed 73

tokens / sec

Latency 0.46s

time to first token

Model Playground

Try Llama 3.2 11B Vision Instruct instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

Chat meta-llama/llama-3.2-11b-vision-instruct
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Benchmarks

How Llama 3.2 11B Vision Instruct performs on standard evaluations.

Artificial Analysis
Intelligence Index
8.7
Better than 10% of tracked models
Artificial Analysis
Coding Index
4.3
Better than 10% of tracked models
Artificial Analysis
Math Index
1.7
Better than 2% of tracked models
BenchmarkScore
GPQA Diamond Graduate-level science Q&A
22.1%
Humanity's Last Exam Cross-domain reasoning
5.2%
LiveCodeBench Recent coding problems
11.0%
SciCode Scientific programming
11.2%
MATH-500 Competition math
51.6%
AIME 2024 Advanced math exam
9.3%
AIME 2025 Advanced math exam
1.7%
IFBench Instruction following
30.4%
LCR Long-context reasoning
11.7%
Terminal-Bench Hard Agentic terminal tasks
0.8%
τ²-Bench Tool use / agents
14.6%

Scores sourced from Artificial Analysis.

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Frequently Asked Questions

How do I use Llama 3.2 11B Vision Instruct?

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.

Is Llama 3.2 11B Vision Instruct free?

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.

What is the pricing for Llama 3.2 11B Vision Instruct?
Pricing for Llama 3.2 11B Vision Instruct is based on the number of input and output tokens used per request.
Price per 1M tokens
Input$0.25
Output$0.25
Who created Llama 3.2 11B Vision Instruct?

Llama 3.2 11B Vision Instruct was created by Meta Llama and released on Sep 25, 2024.

What is the context window of Llama 3.2 11B Vision Instruct?

Llama 3.2 11B Vision Instruct supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.

What is the max output length of Llama 3.2 11B Vision Instruct?

Llama 3.2 11B Vision Instruct can generate up to 16K tokens in a single response.

Does it work with React / Vue / Vanilla JS / Node / etc.?

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.

Get started with Puter.js

Add Llama 3.2 11B Vision Instruct to your app without worrying about API keys or setup.

Read the Docs View Tutorials