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 visual question answering, bridging the gap between language generation and visual reasoning. Pre-trained on a massive dataset of image-text pairs, it performs well in complex, high-accuracy image analysis. Its ability to integrate visual understanding with language processing makes it an ideal solution for industries
Context window
This model accepts 131K tokens in one request (~98K words of text).
What fits in one request
- FitsShort documentAbout 1,500 words of text
- FitsLong documentAbout 37K words of text
- Won't fitSmall codebaseAbout 150K words of text
- Won't fitFull novelAbout 375K words of text
Specifications
Context size, pricing, and release info in one place.
- Context window
- 131,072 tokens (131K)
- Max output tokens
- 16,384 tokens (16K)
- Speed tier
- fast
- Provider
- Meta
- Model family
- Llama 3.2
- Release date
- Sep 2024
Capabilities
See which features this model supports, such as vision, tools, and streaming.
- Vision
- Accepts image inputs alongside text
- Supported
- Streaming
- Returns tokens as they are generated
- Supported
- Tool use
- Can call external tools and APIs
- Not supported
- Function calling
- Structured function call interface
- Not supported
- Extended thinking
- Shows its chain-of-thought reasoning
- Not supported
- Web search
- Can browse the web during a request
- Not supported
- Batch API
- Process many requests asynchronously
- Not supported
- Prompt caching
- Reuse repeated prompt prefixes cheaply
- Not supported
Best for
Jump to a guide or ranking that matches each workload.
Compare Llama 3.2 11B Vision Instruct
Open a side-by-side comparison with one click.
- Llama 3.2 11B Vision Instruct vs Codellama 34b Instruct
Llama 3.2 11B Vision Instruct has 3100% larger context window
- Llama 3.2 11B Vision Instruct vs Codellama 70b Instruct
Llama 3.2 11B Vision Instruct has 3100% larger context window
- Llama 3.2 11B Vision Instruct vs Llama 2 13b Chat
Llama 3.2 11B Vision Instruct has 3100% larger context window
- Llama 3.2 11B Vision Instruct vs Llama 2 70b Chat
Llama 3.2 11B Vision Instruct has 3100% larger context window
- Llama 3.2 11B Vision Instruct vs Amazon Titan Text Express
Llama 3.2 11B Vision Instruct has 212% larger context window
- Llama 3.2 11B Vision Instruct vs Amazon Titan Text Lite
Llama 3.2 11B Vision Instruct has 212% larger context window
Frequently asked questions
Short answers about context size and how this model behaves.
More from Meta
Other models by Meta in our catalog.
Powered by Mem0
Use a smaller model.
Get better results.
Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.
Example: a multi-turn chat session
80% less to send — works with any model