Comprehensive side-by-side LLM comparison
Llama 4 Maverick offers 800.0K more tokens in context window than Llama 4 Behemoth. Llama 4 Maverick is $5.64 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
Meta AI
Llama 4 Behemoth is a research-scale Mixture-of-Experts language model with approximately 2 trillion total parameters (288 billion active per inference), developed by Meta as a teacher model for the Llama 4 family. Available only in limited preview, it serves as the knowledge distillation source for Llama 4 Scout and Maverick. Behemoth targets research applications requiring the largest-scale open-weight model architecture from the Llama 4 generation.
Meta AI
Llama 4 Maverick, released by Meta on April 5, 2025, is a natively multimodal Mixture-of-Experts large language model with 400 billion total parameters and 17 billion active parameters per inference. It features a 1M token context window and supports text and image input, enabling strong performance on both language and vision tasks. Maverick targets open-source deployments requiring large-scale multimodal reasoning, released under Meta's custom license.

Llama 4 Maverick
Meta AI
2025-04-05
Cost per million tokens (USD)
Llama 4 Behemoth
Llama 4 Maverick
Context window and performance specifications
Available providers and their performance metrics
Llama 4 Behemoth
Together AI
Llama 4 Maverick
Llama 4 Behemoth
Llama 4 Maverick
Llama 4 Behemoth
Llama 4 Maverick
Together AI