Meta says its next-gen AI model ‘Watermelon’ uses 10x more compute, matches GPT-5.5 benchmarks
AI-summarised brief · reviewed before publication
Meta's next-gen AI model, codenamed Watermelon, has reached a performance level comparable to OpenAI's GPT-5.5 on internal benchmark tests. The model is still in training and uses 10 times more computing power than its predecessor, Avocado. Meta's Superintelligence Labs chief, Alexandr Wang, announced the milestone during a company-wide town hall, marking a significant step for Meta in closing the gap with rivals. The achievement is a result of Meta's billion-dollar investment in AI infrastructure, specialized chips, and research talent over the past year, aiming to enhance its AI capabilities and competitiveness.
💡 Why It Matters
- · Watermelon's performance parity with GPT-5.5 underscores Meta's rapid progress in AI development, threatening to upend the dominance of OpenAI and other industry leaders.
- · Narrowing the gap with competitors positions Meta for potential breakthroughs in areas like coding and agentic capabilities.