Meituan reveals LongCat-2.0, a 1.6-trillion-parameter open model trained on domestic chips

The bigger news buried in this release is not the parameter count, it is the claim that a frontier-scale open model was trained end-to-end without Nvidia chips, exactly the kind of proof point Chinese labs need to make export controls look less decisive. That the model was hiding in plain sight under a placeholder name on OpenRouter for months says something about how little attention Western outlets pay to open-weight leaderboards until a company decides to take credit. If the training claims hold up under independent scrutiny, expect this to become a reference point in every future conversation about chip export policy.