HomeModelsMeta Llama 4 Scout (10M)

Meta Llama 4 Scout (10M)

Meta 10M context Released: 2025-04

Meta's Llama 4 Scout with an industry-leading 10M token context window and 16 experts MoE architecture. Optimized for efficiency.

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Pricing Information

Input Pricing

Standard:$0.1000
Per 1,000 tokens
Cached:$0.0250
Per 1,000 tokens (cached requests)

Output Pricing

Standard:$0.3000
Per 1,000 tokens

Example Costs

Short Conversation
1K input + 500 output tokens
$0.2500
Book Analysis
50K input + 2K output tokens
$5.60

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

  • 10M token context window
  • 16-expert MoE architecture
  • Open-source
  • Highly efficient inference
  • Strong on-device performance

Common Use Cases

  • Ultra-long document analysis
  • Code repository understanding
  • Large-scale data processing
  • Research applications
  • Edge deployments

Ratings & Feedback

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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?