New ModelsOpen weights
LongCat-2.0
Meituan reveals LongCat-2.0, a 1.6T MoE trained entirely on Chinese ASICs
Meituan disclosed LongCat-2.0, a 1.6-trillion-parameter MoE trained entirely on Chinese ASICs without NVIDIA hardware. It scores 59.5 on SWE-bench Pro and runs at $0.038 per million tokens with free cache hits. The model had been serving anonymously as 'Owl Alpha' and ranks among OpenRouter's top models by volume — part of a surge that puts Chinese open-weight models at ~30% of global usage, up from 1.2% eleven months ago.
1.6T MoE parameters, no NVIDIA in training59.5 SWE-bench Pro$0.038 per 1M tokens, free cache hits