Meta appears ready to launch its next generation AI model after Avocado, codenamed Watermelon, and claims it matches the performance of OpenAI’s GPT 5.5. Reports say Watermelon AI will be Meta’s flagship model, built for advanced reasoning, coding, instruction following, and agentic tasks; basically, an AI that can handle complex and multi step jobs with very little help from humans. The model has not been officially launched yet, but these claims have caught some attention. Meta seems to think it is closing the gap with OpenAI’s advanced systems. Still, these are just internal claims for now as Meta has not released any benchmark data or technical details to back it up.
How Meta’s Watermelon AI Fares Against GPT 5.5
The source of these claims is Meta’s Chief AI Officer, Alexandr Wang. He reportedly said that Watermelon AI has caught up to OpenAI’s GPT 5.5 on closely watched benchmarks. That is Meta’s internal take, and not something verified independently. Alexandr Wang’s comments show that he is confident about Watermelon’s capabilities, but Meta has not said what benchmarks they used or how Watermelon did in various categories. So for now, there is no public data to prove its performance against GPT 5.5.
Alexandr Wang also said Watermelon AI was trained with ten times more compute power than its previous model. The increase in computational resources highlights Meta’s strategy of scaling model training to improve performance across complex AI tasks. If the claims stand true once Watermelon AI is released, Meta will have its most advanced artificial intelligence model yet and it could significantly strengthen the company’s position as generative AI keeps shifting fast.
JUST IN: $META Chief AI Officer Alexandr Wang says the company’s upcoming ‘Watermelon’ AI model matches OpenAI’s GPT-5.5 on key benchmarks. pic.twitter.com/c0A0ydAVZl
— Whale Insider (@WhaleInsider) July 5, 2026
Watermelon AI to Focus on Advanced AI Capabilities
Beyond the reported benchmark comparison, Watermelon AI is expected to serve as Meta’s next frontier foundation model for a wide range of AI powered applications. Analysts expect it to have better reasoning, so it should handle more complex problem solving, follow detailed instructions, and produce more reliable responses for professional and technical use cases.
Coding is likely another big focus. As software development is now one of the toughest tests for modern AI, the model is probably meant to help developers write, debug, explain, and optimize code. If it succeeds in this, Meta can take on the top artificial intelligence coding assistants already dominating the market.
Agentic capabilities are also one of the improvements. Instead of just responding to single prompts, agentic AI plans and carries out multi step tasks making it ideal for research, workflow automation, productivity, and enterprise tools. Meta is aiming to boost these functions in Watermelon’s build.
But a lot is still unclear. Meta has not shared anything on Watermelon’s architecture, context window, multimodal skills, which languages it will support, or when it will launch, and only independent testing will show how it performs once it is out in the real world.
Also read: Meta is Reportedly Developing an AI Pendant that Records and Summarizes Daily Conversations
Meta’s new Watermelon AI model is in the spotlight after Chief AI Officer Alexandr Wang said it has caught up to GPT 5.5 on key benchmarks, and that it was trained with ten times more compute power which is a proof of Meta’s push to create stronger AI. If independent tests back up Meta’s internal findings, Watermelon AI could become their most powerful foundation model ever, focusing on reasoning, coding, and agentic AI. For now, however, the comparison with GPT 5.5 remains Meta’s claim, and the industry’s attention will remain on the model’s official launch and third party benchmark results to determine how it performs in practice.
