Meta: Llama 3.2 11B Vision InstructWork with me

Meta: Llama 3.2 11B Vision Instruct

byMeta

Llama 3.2 11B Vision Instruct is a language model from Meta released on Sep 25, 2024. It reads text and images and writes text, with a 128K token context window and up to 128K tokens per reply.

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It costs $0.0485 per million input tokens and $0.676 per million output tokens.

It supports tool calling and structured JSON output, and its weights are open, so you can host it yourself.

3 providers serve it, including Cloudflare Workers AI, Inference and Eden AI.

Modalities
In / out price
$0.0485 / $0.676 per 1M
Context
128K
Max output
128K
Released
Sep 25, 2024
Knowledge cutoff
Dec 2023
  • Tool calling
  • Structured output
  • Reasoning
  • Prompt caching
  • Open weights
  • Free to use

Llama 3.2 11B Vision Instruct pricing

USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.

Input$0.0485 / 1M tokens
Output$0.676 / 1M tokens

Llama 3.2 11B Vision Instruct providers

3 providers serve it, including Cloudflare Workers AI, Inference and Eden AI. Each host sets its own price and limits, so the cheapest one is not always the one with the longest context.

ProviderInput /MOutput /MCache read /MContextMax output
Cloudflare Workers AI$0.0485$0.676–128K128K
Inference$0.055$0.055–16K4K
Eden AI$0.345$0.345–131K4K

What Llama 3.2 11B Vision Instruct costs per month

Pick a workload close to yours or type your own volumes.

Llama 3.2 11B Vision Instruct per month
$10.74
Without caching
$10.74
Per request
$0.0004

Supported request parameters

What you can set when you call Llama 3.2 11B Vision Instruct through an OpenAI compatible API.

  • Toolstools
  • Structured outputsstructured_outputs
  • Temperaturetemperature

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Llama 3.2 11B Vision Instruct questions

How much does the Llama 3.2 11B Vision Instruct API cost?

$0.0485 per million input tokens and $0.676 per million output tokens. The estimator on this page turns that into a monthly bill for your own workload.

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

128,000 tokens of input, and it can write up to 128,000 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.

Which providers serve Llama 3.2 11B Vision Instruct?

3 providers serve it, including Cloudflare Workers AI, Inference and Eden AI. Prices differ by host, so the Providers table on this page lists each one with its input and output price.

Does Llama 3.2 11B Vision Instruct support tool calling?

Yes. It accepts tool definitions and can return JSON that matches a schema, which is what an agent needs to call your APIs.

Is Llama 3.2 11B Vision Instruct open source?

Its weights are published, so you can run it on your own hardware or a cloud of your choice. Read the license before commercial use.

When was Llama 3.2 11B Vision Instruct released?

Sep 25, 2024, with training data up to Dec 2023.

Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.

Building on Llama 3.2 11B Vision Instruct?

I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.

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