Meta hits pause on ‘Llama 4 Behemoth’ AI model amid capability concerns

Meta Platforms has decided to delay the public release of its most ambitious artificial intelligence model yet — Llama 4 Behemoth. Initially expected to debut at Meta’s first-ever AI developer conference in April, the model’s launch was pushed to June and is now delayed until fall or possibly even later.
Engineers at Meta are grappling with whether Behemoth delivers enough of a leap in performance to justify a public rollout, The Wall Street Journal reported. Internally, the sentiment is split — some feel the improvements over earlier versions are incremental at best.
The delay doesn’t just affect Meta’s timeline. It’s a reminder to the entire AI industry that building the most powerful model isn’t just about parameter count—it’s about usefulness, efficiency, and real-world performance.
Sanchit Vir Gogia, chief analyst and CEO at Greyhound Research, interprets this not as a standalone setback but as “a reflection of a broader shift: from brute-force scaling to controlled, adaptable AI models.”
He said that while Meta has not officially disclosed a reason for the delay, the reported mention of “capacity constraints” points to larger pressures around infrastructure, usability, and practical deployment.
*What’s inside Llama 4 Behemoth?*
Behemoth was never intended to be just another model in Meta’s Llama family. It’s intended to be the crown jewel of the Llama 4 series, designed as a “teacher model” for training smaller, more nimble versions like Llama
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