Meta’s ‘Behemoth’ Llama 4 mannequin may 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 necessary AI is to the corporate. Now, we all know a bit extra about why, due to a in The Wall Avenue Journal.

In line with the report, Meta had initially supposed 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, probably till “fall or later.” Meta engineers are reportedly “struggling to considerably enhance the capabilities” of the mannequin that Mark Zuckerberg has known as “the very best performing base mannequin on this 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 may 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 mentioned .

Meta has by no means given a agency timeline of when to count on the mannequin. The corporate mentioned final month that it was “nonetheless coaching.” And whereas Behemoth bought a couple of nods throughout the LlamaCon keynote, there have been no updates on when it would really be prepared. That is most likely 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 continues to be notable given the Meta’s lofty ambitions with regards to AI. Zuckerberg has made AI with Meta planning to spend as a lot as on its AI infrastructure this 12 months.