Meta's ambitious Llama 4 Behemoth, a colossal 2-trillion-parameter Mixture-of-Experts (MoE) model, was unveiled in April 2025. It was heralded as a crucial 'teacher model' designed to distill cutting-edge frontier capabilities into Meta's renowned open-weight AI lineup. However, a year later, as of April 23, 2026, Llama 4 Behemoth remains unreleased and officially 'in training.'
This significant delay casts a shadow on Meta's competitive standing in the incredibly fast-paced AI sector. Since Behemoth's initial announcement, the AI landscape has transformed dramatically. Rivals have surged ahead, launching powerful new models including OpenAI's GPT-5.4, Google's Gemini 2.5 Pro, Anthropic's Claude Opus 4.7, and Kimi K2.6.
The competitive environment has fundamentally shifted, potentially diminishing the groundbreaking impact Behemoth was originally intended to make. Is Meta falling behind in the race for AI supremacy? Dive into this update to understand the implications of Behemoth's prolonged development.