Meta Delays 'Avocado' AI Model After Google Gemini Crushes Internal Tests
Mark Zuckerberg’s multi-billion dollar bet on artificial intelligence just hit a massive roadblock.
Meta has abruptly delayed the launch of its highly anticipated "Avocado" AI model until at least May 2026 after it reportedly bombed internal performance benchmarks against industry heavyweights.
Quick Facts
- The bottom line: Meta's elite TBD Lab has officially postponed the planned mid-March release of its next-generation foundational model.
- The performance gap: Avocado reportedly failed to match the reasoning, coding, and writing capabilities of Google's Gemini 3.0, OpenAI, and Anthropic.
- The backup plan: Meta executives are actively debating a temporary licensing deal to use Google Gemini to power their consumer AI products.
- The financial hit: This delay follows Meta's massive $14.3 billion investment in Scale AI and the controversial appointment of 29-year-old Alexandr Wang as Chief AI Officer.
A Costly Stumble for Zuckerberg
Meta poured massive resources into unseating its rivals. The tech giant assembled an elite 100-person team known as "TBD Lab," led by newly minted Chief AI Officer Alexandr Wang.
They tasked this group with developing a suite of fruit-themed models, starting with the flagship Avocado project.
The team aggressively targeted a mid-March launch. Instead, they hit a brick wall during the post-training evaluation phase.
Sources familiar with the matter revealed that while Avocado comfortably beat Meta's previous models and Google's older Gemini 2.5, it simply could not compete with current state-of-the-art systems.
Gemini 3.0 reportedly eclipsed Meta's latest offering across the board in internal reasoning and writing tests.
"As we've said publicly, our next model will be good but, more importantly, show the rapid trajectory we're on," Meta spokesperson Dave Arnold stated Thursday. "We're excited for people to see what we've been cooking very soon."
The Google Lifeline
The performance deficit triggered a dramatic internal shift. Rather than pushing an inferior product to billions of Facebook and Instagram users, Meta's leadership team is exploring an unthinkable alternative.
Executives have reportedly held discussions about licensing Google's Gemini engine to temporarily power Meta's consumer-facing AI features.
No final decision has been reached, but the mere consideration highlights the severity of the setback for a company that prides itself on internal engineering.
Meta is also rethinking its long-standing commitment to open-source software.
Zuckerberg and Wang are currently leaning toward keeping the underlying code for their upcoming models strictly private.
This marks a massive departure from their previous strategy with the highly successful Llama series.
The Future of the AI Arms Race
This delay signals a major inflection point in the tech industry.
Throwing billions of dollars and elite engineering talent at a problem no longer guarantees an immediate victory.
If a titan like Meta struggles to match the reasoning capabilities of Google and OpenAI, smaller developers face an almost impossible uphill battle.
The potential licensing of Gemini by Meta would radically alter the competitive power dynamics in Silicon Valley.
Google would effectively power the AI experiences of its biggest social media rival, cementing its dominance over the underlying infrastructure of the consumer web.
Meta still has time to refine Avocado before May, but the window to claim unquestioned leadership is rapidly closing.