Meta AI chief says their coming LLM has caught up with OpenAI's flagship model
Which summary reads better? Pick one — models revealed after.Both summaries are AI-generated.
Meta’s in-training Watermelon model is claimed internally to have reached OpenAI GPT-5.5-level benchmark performance while using an order of magnitude more compute than Meta’s prior Avocado/Muse Spark model. For production teams, the practical shift is that Meta may become a serious near-term option for coding and agentic workloads, so eval harnesses and vendor-routing plans should be ready to test it as soon as access opens.
Meta's next model (codenamed Watermelon), still in training, reportedly matches GPT-5.5 on benchmarks using an order of magnitude more compute than its April-released Muse Spark, with a coding/agentic update aimed at Claude Opus parity coming soon. If it ships as claimed, you'd get a viable open-weight-lineage alternative for coding and agent workloads to hedge against OpenAI/Anthropic pricing and rate limits — but the parity is self-reported on unspecified benchmarks, so treat it as a reason to plan an eval, not to migrate.