Meta Says Its Unreleased 'Watermelon' Model Has Caught OpenAI's GPT-5.5

Meta's next model, internally codenamed Watermelon, has reportedly caught up with OpenAI's GPT-5.5 on closely watched benchmarks, according to AI Post, which cites remarks that Meta's AI chief, Alexandr Wang, made to employees. AI Post says the model is still in training and uses roughly ten times the computing power of Muse Spark, the smaller model that Meta's superintelligence lab released earlier.

Every important detail here is internal and preliminary. The comparison is Meta's own, the benchmarks are unnamed, the model is not finished, and no outside party has reproduced the result. A claim that an unreleased system matches a rival, delivered to staff by the lab's leader, is the kind of statement to treat as a directional signal rather than a measured result.

The compute figure is the more concrete data point. Ten times the training compute of Muse Spark, if accurate, is a large bet on scale at a moment when rivals are emphasizing efficiency gains that separate capability from raw computing power. It suggests Meta is spending its way back to the frontier rather than improving the training method itself.