OpenRouter lists Meituan's LongCat 2.0 (model id meituan/longcat-2.0) as a sparse mixture-of-experts language model with 48B active parameters out of 1.6T total, released on OpenRouter on July 20, 2026, and exposed via a single host (AtlasCloud) with no routing across multiple providers. The page documents a native 1-m For developers choosing a model on OpenRouter, the listing frames LongCat 2.0 as suited to coding, repository-level changes, long-horizon problem solving, and agentic workflows, with the 1M context and MoE efficiency positioned as the headline capabilities. The single-provider setup means performance, availability, and

TechJack Solutions reports that Meituan open-sourced LongCat-2.0 on July 6, 2026 under an MIT license, publishing the model on Hugging Face. The piece characterizes the release as a "reveal" rather than a debut, noting that a model matching the description was already serving on OpenRouter under the name "Owl Alpha" be The article reiterates Meituan's headline numbers — 1.6 trillion total parameters with about 48 billion active per token — and surfaces the vendor's self-reported benchmark claims that LongCat-2.0 outperforms Claude Opus on IFEval and IMO-AnswerBench. It explicitly flags that no independent third-party evaluation has b

MarkTechPost's July 5, 2026 launch coverage describes LongCat-2.0 as Meituan's next-generation trillion-parameter open model, following the 2025 LongCat-Flash (560B), and reports a 1.6T-total / ~48B-active MoE architecture with a native 1-million-token context window. The post emphasizes an agentic-coding focus, coveri The same article highlights that both training and serving for LongCat-2.0 were run entirely on domestic AI ASIC superpods rather than on NVIDIA GPU clusters, framing the release as a step in Meituan's vertically integrated infrastructure stack. As a third-party tech blog the piece is useful for architectural and capab