Meta Avocado AI Model Delayed After Internal Tests Fall Short

Meta is delaying its next-generation artificial intelligence model, codenamed "Avocado," after internal testing revealed disappointing performance compared to rival models from Google, OpenAI, and Anthropic. According to The New York Times, Mark Zuckerberg's company is pushing back the release by at least two months.

The Meta Avocado AI model showed lackluster performance even after engineers worked on it for months, anonymous sources told the Times. While the model did outperform Meta's previous AI system and surpassed Google's Gemini 2.5 from March, it still lagged behind Gemini 3.0 from November and other cutting-edge competitors.

Why Meta's AI Strategy Is Under Pressure

This delay represents a truly significant setback for Meta's AI ambitions. In July, Zuckerberg announced that Meta's new AI models would "push the frontier in the next year or so." The company has invested billions into AI development as part of its broader strategy to compete with Google and OpenAI in the generative AI race.

According to TechCrunch, Meta's top executives have reportedly debated whether the new AI model should be released as "open source," meaning parts of its code would be available to other developers. Disagreements reportedly centered on how new AI models should improve Meta's advertising business, which remains Meta's primary revenue driver.

What The 'Avocado' Model Was Supposed To Do

The Meta Avocado AI model was designed to power next-generation features across Meta's family of apps, including Facebook, Instagram, and WhatsApp. Meta hoped the new AI would enhance content recommendations, improve ad targeting, and enable more sophisticated chatbot interactions.

Internal benchmarks showed that while Avocado improved upon Meta's existing models, it failed to match the capabilities of competing systems. This gap is particularly concerning given that AI-powered features are increasingly central to user engagement on social platforms. The delay could impact product roadmaps across Meta's entire app ecosystem.

Meta Reportedly Considers Google Gemini Licensing

In a surprising turn, The Information reports that Meta executives are now weighing whether to license Google's Gemini AI models instead of relying solely on in-house development. This would mark a significant strategic pivot for a company that has historically emphasized building its own technology infrastructure.

Licensing Gemini could give Meta immediate access to state-of-the-art AI capabilities without the years-long development timeline required to build competitive models from scratch. However, such a move would also make Meta dependent on a primary rival for critical technology, raising questions about long-term competitive positioning and data sharing.

The Broader AI Competition Heats Up

Meta's struggles highlight the intense competition in the AI space. While OpenAI's GPT models and Google's Gemini have captured headlines, Meta has positioned itself as the open-source alternative through its Llama model series. The Meta Avocado AI model delays threaten that positioning.

The AI race has become existential for tech giants. Companies are pouring tens of billions of dollars into AI infrastructure, chip development, and talent acquisition. For Meta, which rebranded from Facebook to emphasize its metaverse and AI ambitions, falling behind in AI could impact everything from stock price to user retention and advertiser confidence.

What This Means For Users

For the billions of people using Meta's apps daily, delayed AI improvements could mean waiting longer for promised features. Meta has teased AI-powered content creation tools, smarter chatbots, and enhanced recommendation systems—all of which depend on having competitive AI models.

The company faces a difficult choice: rush out a subpar model to maintain release timelines, or take more time to improve the Meta Avocado AI model while potentially falling further behind competitors. Neither option is ideal for a company that has staked much of its future on artificial intelligence leadership.

No new release date has been announced for the Avocado model, with Meta engineers reportedly working diligently to address the performance gaps identified in testing. Industry analysts will be watching closely to see whether Meta can close the gap with its rivals or if this signals deeper challenges for the company's AI division.