Meta Platforms (META.O) is delaying the release of its much-anticipated “Behemoth” AI model, the company’s most powerful large language model (LLM) to date, amid internal doubts about its performance and readiness, according to a report by the Wall Street Journal.
Originally slated for release in April to coincide with Meta’s inaugural developer AI conference, the internal launch target was later shifted to June. Now, the launch has been postponed to fall or later, people familiar with the matter said.
Reasons for Delay:
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Engineers at Meta are reportedly struggling to make meaningful improvements in Behemoth’s performance compared to earlier models.
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Staff have raised questions about whether the upgrades justify a public release, suggesting the model may not yet offer a significant leap over predecessors like Llama 3 or Llama 4.
Meta has not yet commented publicly on the delay, and the Behemoth model remains unreleased as of mid-May.
Development Context:
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Meta had previously described Behemoth as “one of the smartest LLMs in the world”, intended to act as a teacher model for training smaller, faster models.
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In April, Meta released other variants in its LLM family, including Llama 4 Scout and Llama 4 Maverick, but did not follow through with Behemoth’s public debut.
Industry Implications:
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The delay highlights the growing technical challenges in scaling LLMs meaningfully, especially as performance gains become harder to achieve beyond a certain model size.
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It comes at a time when AI competitors like OpenAI, Google, and Anthropic are releasing increasingly powerful models and tools, raising competitive pressure in the LLM arms race.
Meta’s pivot may reflect a more cautious release strategy, likely aimed at avoiding backlash over underwhelming capabilities or potential AI safety concerns.