Meituan Open-Sources Trillion-Parameter Model LongCat-2.0
智东西 · wechat · 2026-07-06
Meituan open-sources its trillion-parameter large model LongCat-2.0, with 1.6 trillion total parameters and 48 billion average activated parameters. It is the industry's first trillion-parameter model to complete full training and inference on a 50,000-card domestic computing cluster, and releases inference code optimized for domestic chips. Scored 59.5 on SWE-benchPro, surpassing GPT-5.5 (58.6) and Claude Opus 4.6 (57.3). Uses MoE architecture, natively supports 1M token context, introduces LongCat Sparse Attention (LSA) to reduce quadratic complexity to linear, and adds N-gram Embedding parameter expansion and multi-teacher online distillation.
Related event: Meituan Open-Sources LongCat-2.0 on Domestic Chips(3 posts)→
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