Meituan has open-sourced LongCat-2.5 under an MIT license, permitting commercial inference deployment and further training without additional authorization. LongCat-2.5 is a native multimodal model for long-range agent tasks, with improved end-to-end performance in complex codebase development, full project builds, visual coding and professional office workflows. The model totals 1.6 tln parameters, with per-token activation of ~48 bln parameters, and supports a one‑million‑token context. Meitua

2026-11-10

Meituan has open-sourced LongCat-2.5 under an MIT license, permitting commercial inference deployment and further training without additional authorization. LongCat-2.5 is a native multimodal model for long-range agent tasks, with improved end-to-end performance in complex codebase development, full project builds, visual coding and professional office workflows. The model totals 1.6 tln parameters, with per-token activation of ~48 bln parameters, and supports a one‑million‑token context. Meituan says the model architecture, chip adaptation and deployment strategies were co-optimized for domestic compute chips with constrained VRAM and bandwidth.