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Meta Llama 3.1 8B Instruct

Meta 128K context Released: 2024-07

A highly efficient instruction-tuned model from Meta's Llama 3.1 series, suitable for fast, on-device, or edge applications.

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Pricing Information

Input Pricing

Standard: $0.0600
Per 1,000 tokens

Output Pricing

Standard: $0.0600
Per 1,000 tokens

Example Costs

Short Conversation
1K input + 500 output tokens
$0.0900
Book Analysis
50K input + 2K output tokens
$3.12

Token Calculator

Tokens: 0
Words: 0
Characters: 0
Input Cost: $0.00
Estimated based on current token count as input
Use our main calculator for more detailed estimates including input/output combinations.

Key Features

  • 8 billion parameters
  • 128K context length
  • Highly efficient and fast
  • Suitable for on-device applications
  • Good for simple tasks, summarization, classification

Common Use Cases

  • Lightweight chatbots
  • Text classification
  • Simple summarization
  • Drafting assistance
  • Educational purposes

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?