Meituan releases weights for LongCat-2.5, a 1.6T‑parameter MoE model for long‑horizon agentic tasks, under MIT license, after unveiling on November 1 (Carl Franzen/VentureBeat)
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| Source: Techmeme | Original article
Meituan released weights for its 1.6‑trillion‑parameter LongCat‑2.5 MoE model for long‑horizon agentic tasks under an MIT license, a
Meituan has made the weights for its LongCat‑2.5 model publicly available under an MIT licence, the company announced on 9 November. The release follows the model’s initial unveiling a week earlier, on 1 November. LongCat‑2.5 is a mixture‑of‑experts (MoE) architecture that packs 1.6 trillion parameters and is marketed for “long‑horizon agentic tasks” – a class of problems that require sustained, goal‑directed reasoning over extended sequences.
The open‑source drop is notable for three reasons. First, the sheer scale of the model places it among the largest publicly released AI systems, narrowing the gap between proprietary offerings from the likes of Nvidia, Anthropic and other major players and the resources available to independent researchers. Second, the MIT licence removes most usage restrictions, encouraging developers to fine‑tune, experiment and embed the model in commercial products without the legal overhead that often accompanies open‑source AI releases. Finally, the focus on long‑horizon agentic capabilities signals a shift toward models that can maintain coherent plans across many steps, a capability that underpins advanced virtual assistants, autonomous agents and complex simulation tools.
The community will now test LongCat‑2.5 against established benchmarks for planning, tool use and multi‑step reasoning to gauge its real‑world performance. Observers will watch for early adopters who integrate the model into downstream applications, as well as any follow‑up releases from Meituan that might include training data details, inference optimisations or hardware‑specific guidance. The broader AI ecosystem will also be interested in how the model’s open licence influences competitive dynamics, especially as other firms continue to balance open‑source contributions with commercial protection of their most advanced systems.
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