Mirror Review
July 3, 2026
The new Meta Watermelon AI model has reportedly matched the benchmark performance of OpenAI’s GPT-5.5 model. Meta Superintelligence Labs chief Alexandr Wang shared this milestone with employees during a recent internal town hall meeting. This achievement signals that Meta’s massive infrastructure investments are actively closing the gap with top artificial intelligence competitors.
Meta’s Next-Gen AI Model Watermelon Hits Key Benchmarks
During the company-wide meeting, Alexandr Wang revealed that Meta’s next-gen AI model Watermelon is achieving parity with OpenAI’s GPT-5.5 across several closely watched industry benchmarks.
Though the model remains in its training phase, its current performance levels mark a major shift in the competitive landscape.
“Watermelon, our next model after Avocado, is currently in training,” Wang stated during the internal town hall. “Watermelon uses an order of magnitude more compute than Avocado.”
Avocado is the internal codename for Muse Spark, the family of AI systems that Meta launched in April 2026. While Muse Spark showed solid capabilities, it ultimately trailed behind the leading frontier models from OpenAI and Anthropic. The new Watermelon AI model aims to directly fix that performance gap.
The Massive Scale of Meta’s Flagship AI Model Watermelon
The advancement of Meta’s flagship AI model Watermelon comes from an increase in raw computing power rather than simple algorithmic tweaks. By utilizing ten times more compute than its predecessor, the training run pushes Meta into the true frontier AI category.
To support these intensive training requirements, Meta aggressively expanded its financial commitments for the year. The company updated its capital expenditure forecasts to prepare for a long-term AI battle.
Meta’s 2026 Infrastructure Spending Estimates
| Expenditure Metric | Previous Forecast | Updated Forecast |
| Annual Infrastructure Spend | $115 Billion – $135 Billion | $125 Billion – $145 Billion |
| Primary Investment Focus | Specialized AI Chips & Data Centers | AI Hardware, Advanced Components, & Data Centers |
Alongside the hardware investments, Meta launched an aggressive talent acquisition blitz. The company renamed its core AI division to Meta Superintelligence Labs last year, appointing Wang to lead the elite TBD research team by offering top industry talent premium compensation packages.
Shifting Dynamics in the Frontier AI Race
The broader AI market currently operates as a tight race between OpenAI and Anthropic. If Meta’s AI model Watermelon maintains these benchmark scores upon public release, it will alter procurement calculations for enterprise buyers.
However, the frontier continues to move quickly.
OpenAI launched GPT-5.5 in April 2026 and has already issued a limited preview of its next system, GPT-5.6, following regulatory reviews by the US government. Meta’s progress suggests it can now match these rapid release cycles instead of playing catch-up.
Alexandr Wang also hinted at public upgrades on social media. When asked on X when Meta would deliver a coding model capable of rivaling Anthropic’s Claude Opus, Wang replied that it would happen “pretty soon” and noted that users would appreciate what the company has “cooking.”
End Note
The development of Meta’s flagship AI model Watermelon, proves that capital investments can successfully buy entry into the top tier of artificial intelligence performance.
While internal town hall assertions must still withstand independent third-party validation, the data shows that Meta has built the hardware foundation required to compete directly with OpenAI.
The upcoming public launch of the Meta Watermelon AI model will determine whether the company can convert its massive infrastructure spend into a definitive market advantage.
Maria Isabel Rodrigues
