Meta's Behemoth has become one of the most discussed yet unreleased AI models in 2025. So what is Behemoth, and why is its launch being repeatedly postponed?
How powerful is Meta's Behemoth AI model?
Behemoth is the flagship model in Meta's Llama 4 family, featuring a mixture-of-experts architecture with around 2 trillion total parameters. Only 288 billion parameters are active at once, but its multimodal, multilingual design sets it apart. Internally, Behemoth outperformed GPT-4.5 and Claude Sonnet 3.7 in STEM benchmarks.
Why has Meta delayed Behemoth's release?
Originally set for April 2025. Behemoth's release has been postponed multiple times first to June, now tentatively to fall. The delays stem from underwhelming internal performance benchmarks and skepticism over whether the improvements justify a major rollout.
What are the financial stakes for Meta?
Meta plans to spend up to $72 billion on AI infrastructure in 2025. Behemoth's delay has stirred investor anxiety and led to falling stock prices. The situation has also sparked internal debates around leadership and return on AI investments.
How does Behemoth fit into Meta's AI ecosystem?
Behemoth is designed as a teacher model for smaller, deployable variants like Llama 4 Scout and Maverick. Its architecture is meant to help refine these offspring models for real-world applications, ranging from search to enterprise tools.
What does Behemoth reveal about industry trends?
The delay reflects a wider slowdown in the AI arms race. Even giants like OpenAI and Anthropic are seeing diminishing returns on scaling up. The industry is reaching a plateau where raw parameter growth is no longer enough.
Conclusion
What is Behemoth? It's a symbol of both ambition and caution in the AI space. While Meta aims to lead with next-gen AI, Behemoth's delays highlight the growing complexity and cost of meaningful innovation.
