Complete Guide to Llama 4: Maverick & Scout Models
Everything you need to know about Meta's Llama 4 series for developers, enterprises, and AI practitioners.
Maverick
- Size: 400B parameters (MoE architecture)
- Active Parameters: 17B
- Context Length: 1M tokens
- Best For: Complex reasoning, long-document processing
Scout
- Size: 109B parameters
- Context Length: 512K tokens
- Best For: Code generation, chat applications
Deployment & Pricing
Self-hosting options: Llama 4 Maverick requires 256GB VRAM (e.g., NVIDIA H100).
API Platforms:Meta API ($0.50/1M tokens),Together AI ($0.30/1M tokens)
Fine-tuning is available via RunPod ($0.12/hr on A100)