Meta, the parent company of Facebook, Instagram, and WhatsApp, has officially delayed the launch of its much-anticipated large language model (LLM) codenamed "Behemoth." Initially expected to launch in April 2025, the model is now postponed to late 2025 or beyond. The delay comes amid internal performance concerns and growing questions about Meta’s AI development roadmap.

This news is a significant moment in the ongoing AI arms race between tech giants like OpenAI, Google, Microsoft, and Meta — a race where timing, performance, and public trust are everything.

What Is “Behemoth”?

Behemoth is Meta’s answer to large-scale AI models like OpenAI’s GPT-4.5, Google’s Gemini, and Anthropic’s Claude. It was pitched internally and externally as Meta's most powerful AI model yet, designed to support its next generation of chatbots, virtual assistants, metaverse avatars, and business tools.

Meta planned to use Behemoth across its platforms, including Instagram, WhatsApp, and the metaverse applications built under the Reality Labs division. Sources claim the model was also intended for enterprise tools in Facebook Workplace and even internal productivity use cases.

But as of now, Meta insiders suggest the model has not lived up to expectations during internal testing.

Why Was It Delayed?

Several reasons have been cited for the delay:

• Underwhelming Benchmark Results: Compared to existing models like GPT-4 or Gemini 1.5, Behemoth reportedly delivered only marginal performance improvements.

• Infrastructure Strain: Behemoth's massive architecture required substantial computational resources. Meta's data centers were reportedly not fully optimized for the model’s scale, leading to latency issues and high operating costs.

• Internal Shifts in Strategy: With growing regulatory pressure and cost concerns in AI development, Meta appears to be re-evaluating its long-term AI investment priorities — possibly shifting toward more efficient, modular models.

What This Means for Meta

For a company betting big on AI and the metaverse, this delay isn’t just a speed bump — it could alter how investors and developers perceive Meta’s ability to compete.

Meta’s AI ambitions have always trailed behind OpenAI and Google in public adoption and visibility. With Gemini rapidly gaining traction and ChatGPT continuing to evolve, this delay may put Meta further behind in a race where months — not years — can define market leadership.

It also adds to a string of recent challenges at Meta, including:

• Slower-than-expected adoption of metaverse products

• Tightening budgets for Reality Labs

• Ongoing competition with Apple Vision Pro and other XR platforms

What’s Next?

Meta has not provided a new official date, but insiders suggest Behemoth could still debut before the end of the year — likely alongside updates to its Meta AI chatbot and new business tools.

Meanwhile, Meta continues to invest in smaller, more focused models and is reportedly working on improving on-device AI for smart glasses, AR/VR, and mobile use.

Final Thoughts

In the rapidly evolving world of generative AI, even a tech giant like Meta can face delays. Whether Behemoth eventually lives up to the hype or not, one thing is clear: in the AI space, quality, timing, and trust are just as important as innovation.

For now, all eyes remain on Meta to see whether it can recover the momentum — or if it risks falling behind in one of the most high-stakes tech races in recent history.