Meta delays Avocado AI model rollout to May after falling short against Google and OpenAI

Reviewed byNidhi Govil

7 Sources

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Meta has postponed the release of its frontier AI model, code-named Avocado, to at least May after performance concerns emerged during internal testing. The model underperformed against rivals like Google's Gemini 3.0, OpenAI, and Anthropic in reasoning, coding, and writing tasks. Meta's AI division is now considering licensing Google's Gemini temporarily, raising questions about the company's $135 billion AI investment strategy.

Meta Pushes Back Avocado AI Model Release After Disappointing Test Results

Meta has delayed the rollout of its highly anticipated frontier AI model, code-named Avocado, to at least May from its originally planned March release

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. The postponement comes after the AI model underperformed in internal evaluations against leading systems from tech giants including Google, OpenAI, and Anthropic

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. According to sources familiar with the matter, Avocado fell short on critical benchmarks for reasoning, coding, and writing—capabilities essential for powering next-generation chatbots, video generators, and coding tools

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Source: Analytics Insight

Source: Analytics Insight

While the foundational AI model did outperform Meta's previous AI systems and Google's older Gemini 2.5 model from March, it failed to match the performance of Google Gemini 3.0, which launched in November

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. Some reports suggest the delay could extend to June or even July as Meta works to close the performance gap

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Considering Licensing Google's Gemini as Temporary Solution

In a surprising turn, leaders of Meta's AI division have discussed temporarily licensing Google's Gemini to power the company's AI products while Avocado remains in development, though no final decisions have been reached

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Mark Zuckerberg had previously declared in July that Meta's new AI models would "push the frontier in the next year or so," positioning AI superintelligence as central to the company's future

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. The CEO has stated that Meta's new goal is to create AI superintelligence where AI will be smarter than humans, ushering in "a new era for humanity"

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Source: Digit

Source: Digit

Significant Investments in AI Face Scrutiny

The Avocado AI model delay arrives at a critical juncture for Meta's ambitious AI strategy. In January, the company laid out capital-spending plans of between $115 billion and $135 billion for the year in pursuit of superintelligence—nearly double the $72 billion it spent last year

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. Meta has also invested $14.3 billion in startup Scale AI as part of its broader AI development roadmap

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Source: PetaPixel

Source: PetaPixel

A Meta spokesperson responded to the performance concerns by stating: "Our next model will be good, but more importantly, show the rapid trajectory we're on, and then we'll steadily push the frontier over the course of the year as we continue to release new models. We're excited for people to see what we've been cooking very soon"

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Additional Models in Development Pipeline

Meta is also working on another fruit-themed model called Mango, focused on image and video generation

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. A future system is reportedly planned under the code name Watermelon

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. These models are expected to support Meta's expanding AI ecosystem, including its booming smart glasses business.

However, the smart glasses initiative has encountered its own challenges. Meta now faces a class-action lawsuit over the wearable technology, with plaintiffs alleging the company misled consumers about how footage captured by the devices may be reviewed. Reports indicate that contractors in Kenya tasked with labeling objects in video clips encountered private and sensitive scenes, including bathroom visits and sexual encounters

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How Meta's AI model performs matters significantly in the competition over fast-evolving technology. Google, OpenAI, and Anthropic are widely regarded as leaders in frontier AI models, which form the basis for developing new AI-driven products. Being at the forefront of AI development helps companies recruit top technologists and maintain a stream of experimentation

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. The delay raises questions about whether Meta's massive capital expenditures will translate into competitive advantages or if the company will continue to trail rivals despite its significant investments in AI infrastructure and talent.

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