Comprehensive side-by-side LLM comparison
Llama 4 Behemoth offers 3.4K more tokens in context window than MiniMax M2.1. MiniMax M2.1 is $4.70 cheaper per million tokens. Llama 4 Behemoth supports multimodal inputs. 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.
MiniMax
MiniMax M2.1, released by MiniMax on December 23, 2025, is a large language model with approximately 230 billion parameters featuring strong multi-language programming capabilities and an industry-leading multilingual coding profile. It features a 196K token context window and is optimized for complex real-world software engineering tasks across Rust, Java, Golang, C++, TypeScript, and other languages. M2.1 targets agentic coding workflows and applications requiring production-grade programming across diverse language environments.
MiniMax M2.1
MiniMax
2025-12-23
Cost per million tokens (USD)
Llama 4 Behemoth
MiniMax M2.1
Context window and performance specifications
Available providers and their performance metrics
Llama 4 Behemoth
Together AI
MiniMax M2.1
Llama 4 Behemoth
MiniMax M2.1
Llama 4 Behemoth
MiniMax M2.1
MiniMax