Chat with Llama 3.2 11B Vision Instruct

Llama 3.2 11B Vision is a multimodal model with 11 billion parameters, designed to handle tasks combining visual and textual data. It excels in tasks such as im

No signup required — try it as a guest. 30,000 free tokens every day once you sign up.

Provider
Meta
Model slug
meta-llama/llama-3.2-11b-vision-instruct
Typical cost
Around 220–551 tokens per typical message. 15M Pro tokens buy roughly 27,223–68,…
Availability
On Faceb.ai · chat + API

About Llama 3.2 11B Vision Instruct

Llama 3.2 11B Vision is a multimodal model with 11 billion parameters, designed to handle tasks combining visual and textual data. It excels in tasks such as image captioning and...

What it's good at

1

131,072-token context window — enough for long documents.

2

Extremely low per-token price compared to frontier models — good for high-volume workloads.

3

Hosted by Meta — you can access it here alongside GPT-4o, Claude, Gemini and 100+ more on one plan.

4

Switch to any other model mid-conversation from the picker.

Pricing on Faceb.ai

Around 220–551 tokens per typical message. 15M Pro tokens buy roughly 27,223–68,181 messages.

Use Llama 3.2 11B Vision Instruct from the API

OpenAI-compatible. Same Faceb.ai tokens cover chat and API. Drop-in replacement for the OpenAI SDK.

curl https://api.faceb.ai/v1/chat/completions \
  -H "Authorization: Bearer sk-faceb-YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "meta-llama/llama-3.2-11b-vision-instruct",
    "messages": [{"role": "user", "content": "Hello!"}],
    "stream": true
  }'
from openai import OpenAI

client = OpenAI(
    base_url="https://api.faceb.ai/v1",
    api_key="sk-faceb-YOUR_KEY",
)

stream = client.chat.completions.create(
    model="meta-llama/llama-3.2-11b-vision-instruct",
    messages=[{"role": "user", "content": "Hello!"}],
    stream=True,
)
for chunk in stream:
    print(chunk.choices[0].delta.content or "", end="", flush=True)
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.faceb.ai/v1",
  apiKey: "sk-faceb-YOUR_KEY",
});

const stream = await client.chat.completions.create({
  model: "meta-llama/llama-3.2-11b-vision-instruct",
  messages: [{ role: "user", content: "Hello!" }],
  stream: true,
});
for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content || "");
}

Also works for image generation (image-output model slugs return image_url content parts) and web search (add "web_search": true to the payload). Same endpoint, same wallet.

Full API docs → · Get an API key →

Frequently asked — Llama 3.2 11B Vision Instruct

What is Llama 3.2 11B Vision Instruct?

Llama 3.2 11B Vision Instruct is a chat/completion model served by Meta and accessed through Faceb.ai. Try it without signing up — guest users get a small pool of session tokens to experiment.

Is Llama 3.2 11B Vision Instruct free on Faceb.ai?

You get 30,000 tokens free every day — usually enough for a handful of messages a day on this model. Need more? Pro is $14.99/month for 15M tokens, or top-ups from $5.

What's Llama 3.2 11B Vision Instruct's context window?

131,072 tokens. Paste your source material in, no need to truncate.

Can I call Llama 3.2 11B Vision Instruct from the API?

Yes. Any API key from /account/api/ works with model slug `meta-llama/llama-3.2-11b-vision-instruct`. The OpenAI SDK works with base_url=https://api.faceb.ai/v1.

How does Llama 3.2 11B Vision Instruct compare to GPT-4o or Claude?

Depends on the task. Faceb.ai lets you switch models per message — benchmark side-by-side by asking both the same prompt, which is more reliable than abstract comparisons.

How much does Llama 3.2 11B Vision Instruct cost per message here?

Around 220–551 tokens per typical message. 15M Pro tokens buy roughly 27,223–68,181 messages.

Does Faceb.ai train on my Llama 3.2 11B Vision Instruct prompts?

No. We contractually request that upstream providers not train on content routed through us. Your chat history lives only on your account.

Is Llama 3.2 11B Vision Instruct good for coding?

It depends on the model size and training mix. For serious code work the developer favourites are Claude 3.5 Sonnet and DeepSeek V3; for quick edits, most capable models work fine.

Can I use Llama 3.2 11B Vision Instruct on the API with the OpenAI SDK?

Yes — point your SDK at https://api.faceb.ai/v1 and use this model's slug as the model parameter. Everything else works as normal.

Does Llama 3.2 11B Vision Instruct support image inputs?

Check the model catalog — multimodal models are marked in the picker. If it accepts images, you can drop screenshots and diagrams straight into the chat.

Can I switch from Llama 3.2 11B Vision Instruct to another model mid-chat?

Yes — the picker is always at the top of the chat. Previous context carries over.

Will newer versions of Llama 3.2 11B Vision Instruct show up here automatically?

Yes. Our catalog auto-fetches from the upstream aggregator, so provider updates and new versions appear in the picker as soon as they're available.

Or try a different model

Your Faceb.ai tokens work for every model — switch per message, no extra subscriptions.

Ready to chat?

One subscription covers every frontier model — switch between them per message. No extra API keys, no extra bills.

Start chatting with Llama 3.2 11B Vision Instruct → Go Pro · $14.99/mo