NVIDIA: Llama 3.2 11b Vision Instruct
Llama 3.2 11b Vision Instruct is a language model from NVIDIA released on Sep 18, 2024. It reads text and images and writes text, with a 128K token context window and up to 4K tokens per reply.
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It costs $0 per million input tokens and $0 per million output tokens.
It supports tool calling and structured JSON output, and its weights are open, so you can host it yourself.
- Modalities
- In / out price
- $0 / $0 per 1M
- Context
- 128K
- Max output
- 4K
- Released
- Sep 18, 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 / 1M tokens | |
|---|---|---|
| Output | $0 / 1M tokens |
What Llama 3.2 11b Vision Instruct costs per month
Pick a workload close to yours or type your own volumes.
Supported request parameters
What you can set when you call Llama 3.2 11b Vision Instruct through an OpenAI compatible API.
- Tools
tools - Structured outputs
structured_outputs - Temperature
temperature
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Llama 3.2 11b Vision Instruct questions
How much does the Llama 3.2 11b Vision Instruct API cost?
$0 per million input tokens and $0 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 4,096 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.
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 18, 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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