Meta Platforms has officially postponed the release of its next-generation artificial intelligence model, internally known as ‘Avocado,’ shifting the launch window to mid-2026. The delay, first reported by the New York Times and verified by industry insiders on March 13, 2026, comes as the flagship model fails to meet critical internal benchmarks against rivals. Led by former Scale AI founder Alexandr Wang at the helm of the Meta Superintelligence Labs (MSL), the project is currently trailing the performance of Google’s Gemini 3.0, marking a high-stakes setback in Mark Zuckerberg’s $135 billion AI infrastructure push.
The Deep Dive
The delay of the ‘Avocado’ AI model represents more than just a scheduling hiccup; it highlights a fundamental tension in Meta’s rapidly evolving AI strategy. For years, Meta positioned itself as the champion of open-source AI through its Llama series. However, the arrival of Alexandr Wang—hired in a blockbuster $14.3 billion deal to lead the newly formed MSL—has signaled a pivot toward proprietary, closed-source development aimed at achieving true artificial general intelligence (AGI).
The Performance Gap: Avocado vs. Gemini
Inside the TBD Lab, the elite unit within MSL responsible for Avocado, the mood is reportedly tense. While Avocado has successfully outperformed Meta’s previous Llama 4 iterations and even bested Google’s older Gemini 2.5 model, it has stalled when measured against the latest frontier systems. Specifically, Avocado has struggled with complex multi-step reasoning and high-level software engineering tasks—areas where Google’s Gemini 3.0 and OpenAI’s latest releases have established a dominant lead.
Industry analysts suggest that the decision to delay the launch was driven by Mark Zuckerberg’s refusal to release a “middle-of-the-pack” model. With Meta projecting a massive $115–$135 billion in capital expenditures for 2026, the pressure to deliver a market-defining breakthrough is immense. If Avocado cannot clearly surpass Gemini in reasoning depth, the company risks losing its grip on the enterprise AI market.
Cultural Clashes and 70-Hour Workweeks
The restructuring of Meta’s AI division under Alexandr Wang has not been without controversy. Reports of 70-hour workweeks and a “startup-within-a-giant” mentality have led to internal friction between the “old guard” researchers from the FAIR (Fundamental AI Research) lab and the new MSL hires. The exit of prominent scientists, including Yann LeCun and former product chief Chris Cox, has further underscored the seismic shift in company culture. Wang’s centralized approach, which requires his personal approval for key hires and compute allocations, has accelerated development cycles but at the cost of significant employee burnout and turnover.
The Licensing Gamble: A Bridge to 2026?
Perhaps the most shocking revelation from the recent delay is the reported discussion within Meta’s leadership regarding a temporary licensing agreement with Google. Sources suggest that Meta may utilize Gemini to power its AI-driven features across Instagram, WhatsApp, and Facebook while Avocado is being retooled. While no final decision has been reached, the mere existence of these talks indicates the urgency Meta feels in maintaining feature parity with competitors who are moving at breakneck speed.
Despite the Avocado setback, Meta is not slowing its broader roadmap. The company recently acquired Moltbook, a social network designed for autonomous AI agents, and continues to develop ‘Mango,’ a multimodal system focused on video and image generation. Whether these secondary projects can offset the flagship model’s delay remains to be seen.
FAQ: People Also Ask
What is Meta’s Avocado AI model?
Avocado is the codename for Meta’s next-generation large language model (LLM). It is designed to be a closed-source, frontier-level AI focused on advanced reasoning, coding, and text generation, developed by the Meta Superintelligence Labs.
Why was the Avocado AI launch delayed?
The launch was delayed to mid-2026 because the model failed to meet internal performance benchmarks when compared to Google’s Gemini 3.0. Specifically, it lagged in reasoning and coding capabilities during the post-training phase.
Who is leading Meta’s AI development?
Alexandr Wang, the founder of Scale AI, is Meta’s Chief AI Officer. He leads the Meta Superintelligence Labs (MSL) and the TBD Lab, overseeing the development of both the Avocado and Mango models.
