Meta’s ‘Behemoth’ Llama 4 mannequin would possibly nonetheless be months away

Final month, Meta , its first ever generative AI convention. However whereas the occasion delivered some notable enhancements for builders, it additionally felt a bit underwhelming contemplating how vital AI is to the corporate. Now, we all know a bit extra about why, because of a in The Wall Road Journal.

In response to the report, Meta had initially meant to launch its “Behemoth” Llama 4 mannequin on the April developer occasion, however later delayed its launch to June. Now, it is apparently been pushed again once more, doubtlessly till “fall or later.” Meta engineers are reportedly “struggling to considerably enhance the capabilities” of the mannequin that Mark Zuckerberg has known as “the best performing base mannequin on the planet.”

Meta has already launched two smaller Llama 4 fashions, , and has additionally teased a fourth light-weight mannequin that is apparently nicknamed “Little Llama.” In the meantime, the “Behemoth” mannequin can have 288 billion lively parameters and “outperforms GPT-4.5, Claude Sonnet 3.7, and Gemini 2.0 Professional on a number of STEM benchmarks,” the corporate stated .

Meta has by no means given a agency timeline of when to count on the mannequin. The corporate stated final month that it was “nonetheless coaching.” And whereas Behemoth bought a number of nods through the LlamaCon keynote, there have been no updates on when it’d truly be prepared. That is in all probability as a result of it might nonetheless be a number of months. Inside Meta there are apparently questions “about whether or not enhancements over prior variations are vital sufficient to justify public launch.”

Meta did not instantly reply to a request for remark. Because the report notes, it would not be the primary firm to run into snags because it races to launch new fashions and outpace rivals. However the delay remains to be notable given the Meta’s lofty ambitions in the case of AI. Zuckerberg has made AI with Meta planning to spend as a lot as on its AI infrastructure this 12 months.