Meituan releases open-weight 1.6-trillion-parameter agent model trained on Chinese chips
Meituan has published the weights of LongCat-2.5, a 1.6-trillion-parameter model built for AI agents and trained entirely on Chinese hardware. It scores 88.4 on Terminal Bench, just behind Claude Opus 5, and its sample deployment runs on 194 Huawei Ascend chips.
Why it matters
Developers get a near-frontier open agent model, and the release shows China can build top models without Nvidia GPUs despite export controls.
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