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Meta Llama 3.2 11B Vision Instruct

Meta 128K context Released: 2024-09

A smaller, efficient multimodal model from Meta with vision capabilities, suitable for edge deployment and cost-sensitive applications.

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Pricing Information

Input Pricing

Standard: $0.1800
Per 1,000 tokens

Output Pricing

Standard: $0.1800
Per 1,000 tokens

Example Costs

Short Conversation
1K input + 500 output tokens
$0.2700
Book Analysis
50K input + 2K output tokens
$9.36

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Input Cost: $0.00
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Key Features

  • 11 billion parameters
  • Vision and text capabilities
  • 128K context length
  • Efficient for edge deployment
  • Open source

Common Use Cases

  • Mobile applications
  • Edge computing
  • Real-time image analysis
  • Cost-effective multimodal tasks
  • Educational tools

Frequently Asked Questions

What is Meta's latest generation of open-source LLMs in late 2024?

Are Meta's Llama 3.1 models free for commercial use?

What are the common ways to access and use Meta's Llama 3.1 models?

How do Llama 3.1 models compare to closed-source models from OpenAI or Anthropic?