# 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.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: SiliconANGLE · Published Sunday, July 5, 2026_

## Wortins' read

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.

## Source

[Read the full story at SiliconANGLE](https://siliconangle.com/2026/06/30/chinas-meituan-open-sources-massive-longcat-2-0-ai-model-saying-trained-domestic-chips/)

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_Curated and written by [Wortins](https://www.wortins.com) — The daily AI briefing. Every story links to its original source; the "Wortins read" on each is our own original analysis. [About Wortins & our editorial approach](https://www.wortins.com/about)._