Meituan open-sources LongCat-2.5, a 1.6T agent model — deploy guide is NPU-only
javimbuilds · reddit · 2026-11-15
Meituan released LongCat-2.5 weights under MIT: 1.6T total parameters, 48B active per token, with text, image and video input. Its own table scores 88.4 on Terminal Bench v2.1, next to Claude Opus 5's 89.1, but the gap widens on the harder v4.0 (38.5 vs 53.9). Catch for self-hosters: the model card only documents Huawei NPU deployment, with no Nvidia path yet. The API speaks both OpenAI and Anthropic formats, making it cheap to test in existing agent setups. The poster asks whether anyone has run it in a real coding agent loop.
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