What happened
Meituan open-sourced LongCat-2.0 on June 30, releasing it through GitHub, Hugging Face and its own platform under an MIT license. The model is a 1.6-trillion-parameter Mixture-of-Experts system with a native 1-million-token context window and scores about 59.5% on SWE-Bench Pro.
Before the reveal, the model had been leading OpenRouter usage anonymously under the codename 'Owl Alpha.' Meituan says it was trained from scratch on a cluster of roughly 50,000 domestic Chinese AI ASICs rather than NVIDIA GPUs.
Why it matters
A permissively licensed, near-frontier coding model that anyone can download shifts leverage toward teams that want to self-host. The MIT license removes many of the usage restrictions attached to other open-weight releases.
If independently verified, the domestic-chip training claim may be the more significant part of this release. Training a model this large entirely on domestic chips suggests China's AI compute stack is maturing faster than export controls assumed.
MintedBrain take
The OpenRouter leaderboard run under a codename is a useful signal: developers rated it on output before knowing its origin. Benchmark it against your own tasks, and factor in the operational cost of hosting a 1.6T-parameter model.
Discussion
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