Overview
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...
Meta: Llama 3.2 11B Vision Instruct in depth
Meta: Llama 3.2 11B Vision Instruct, built by Meta, sits in the chatbots & llms space and is a paid tool starting at $0.34/1M tokens. Our editors rate it 7.0 out of 10 based on capability, ecosystem and value. It handles a context window of 131,072 tokens.
On the feature side, Meta: Llama 3.2 11B Vision Instruct brings 131,072-token context window, vision (image input) and knowledge cutoff 2023-12-31. These are the capabilities that most shape day-to-day use and separate it from thinner alternatives.
Meta: Llama 3.2 11B Vision Instruct is most often chosen for research and writing. If that matches your goals, it's a strong candidate to shortlist.
Key features
- ✓131,072-token context window
- ✓Vision (image input)
- ✓Knowledge cutoff 2023-12-31
Pricing
Pros
Cons
Who should use Meta: Llama 3.2 11B Vision Instruct
- →Anyone looking for a chatbots & llms tool from Meta.
- →Teams and individuals focused on research and writing.
- →Workflows that need a 131,072 tokens context window.
Who should look elsewhere
- →Anyone who needs a free tier — this tool is paid only.
Best for
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Frequently asked questions
Q. Is Meta: Llama 3.2 11B Vision Instruct free?
No — Meta: Llama 3.2 11B Vision Instruct is a paid tool, starting at $0.34/1M tokens.
Q. How much does Meta: Llama 3.2 11B Vision Instruct cost?
Meta: Llama 3.2 11B Vision Instruct starts at $0.34/1M tokens. API usage is around $0.345 per 1M input tokens and $0.345 per 1M output tokens.
Q. What is Meta: Llama 3.2 11B Vision Instruct best for?
Meta: Llama 3.2 11B Vision Instruct is best suited to research and writing, within the chatbots & llms category.
Q. What are the best Meta: Llama 3.2 11B Vision Instruct alternatives?
Popular alternatives to Meta: Llama 3.2 11B Vision Instruct include Claude, ChatGPT, Gemini and Anthropic: Claude Sonnet 5. Each trades off price, quality and ecosystem differently.
How we rate AI tools
Our quality score weighs capability on real tasks, breadth of features and integrations, pricing and value, and how actively the tool is maintained. Scores are editorial guidance, not benchmarks — always trial a tool on your own workflow before committing. Pricing and features change frequently, so verify current details on the official site.
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