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Meta Llama 3.1 70B Instruct

Meta 128K context Released: 2024-07

A large instruction-tuned model from Meta's Llama 3.1 series, offering a strong balance of performance and efficiency for a wide range of tasks.

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Pricing Information

Input Pricing

Standard: $0.6000
Per 1,000 tokens

Output Pricing

Standard: $0.6000
Per 1,000 tokens

Example Costs

Short Conversation
1K input + 500 output tokens
$0.9000
Book Analysis
50K input + 2K output tokens
$31.20

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Characters: 0
Input Cost: $0.00
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Key Features

  • 70 billion parameters
  • 128K context length
  • Strong performance for its size
  • Good for content creation, summarization, RAG
  • Optimized for dialogue applications

Common Use Cases

  • Content generation
  • Summarization and Q&A
  • Chatbot development
  • Retrieval Augmented Generation
  • Coding assistance

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?