Meituan Ships LongCat-2.5-Preview: 1.6T MoE With 1M Context
Meituan Ships LongCat-2.5-Preview: 1.6T MoE Multimodal Agent Model With 1M Context
A food-delivery giant shipping a frontier-scale agent model shows how far Chinese consumer tech firms now push into foundation models, though the lack of published benchmarks makes real capability hard to judge. Developers building long-context or agentic workflows should track when independent evals and API access appear, since LongCat competes with open-weight MoE releases from Alibaba's Qwen and DeepSeek. Its 1M-token window targets codebase-scale agent tasks directly.
Meituan released LongCat-2.5-Preview on 25 Sep 2026, a 1.
6T-parameter mixture-of-experts model with roughly 48B active parameters per forward pass.The model offers native 1M-token multimodal context and is aimed at long-horizon software agents.
Meituan did not publish benchmark results in this preview round.
Meituan Ships LongCat-2.5-Preview: 1.6T MoE Multimodal Agent Model With 1M Context
Meituan launched LongCat-2.5-Preview on September 25, 2026: a 1.6T MoE (~48B active) with native 1M-token multimodal context aimed at long-horizon software agents, without publishing benchmarks this round.
This report is categorized under AITOP's "Models" desk, focusing on China's AI industry and domestic foundation model ecosystem. Within our cross-regional analytical framework, it directly maps to US-China foundation model benchmarks and commercialization comparison and AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include LongCat, Meituan, MoE, open-source models.
Primary source verification: published directly by pandaily with first-party authority. Cross-source corroboration: 2 independent sources have covered this development (including IT之家), confirming industry-wide signal strength.
- IT之家09-26 06:16Source
