@rohanpaul_ai: I’m hearing that "Owl Alpha", one of OpenRouter’s fastest-growing agent models, is actually Meituan LongCat-2.0-Preview…
Summary
Owl Alpha, a rapidly growing agent model on OpenRouter, is reportedly a rebranded version of Meituan LongCat-2.0-Preview, a massive 1.6T-parameter MoE model with 48B active parameters and 1M-token context. It has achieved notable usage rankings and growth rates.
View Cached Full Text
Cached at: 06/28/26, 07:58 AM
I’m hearing that “Owl Alpha”, one of OpenRouter’s fastest-growing agent models, is actually Meituan LongCat-2.0-Preview
The reported design is a huge 1.6T-parameter MoE, active 48B.
A dynamic active range of roughly 33B to 56B, and natively supports a 1M-token context window.
“Owl Alpha” has been quietly trialed on OpenRouter for nearly two months and has already become one of the most used agent models globally.
The usage numbers are striking. Captured OpenRouter data shows:
-
#1 on Hermes Agent
-
#2 on Claude Code
-
#3 on OpenClaw
-
10.1T monthly tokens
-
559B daily tokens
-
+242% monthly growth
That is extraordinary for a model still operating under an anonymous name.
Similar Articles
@Meituan_LongCat: Introducing LongCat-2.0 1.6T parameters · MoE with ~48B active · 1M context The full model behind Owl Alpha on @OpenRou…
Meituan introduces LongCat-2.0, a 1.6T parameter MoE model with ~48B active parameters and 1M context, featuring novel architectures like LongCat Sparse Attention and Zero-Compute Experts, achieving strong benchmark scores on coding and reasoning tasks.
@svpino: Cina's AI ecosystem is different from everyone else: Every company wants to release its own SOTA model, but they are al…
The tweet discusses China's AI ecosystem where companies compete but release open-source models. It notes a mystery model 'Owl Alpha' on OpenRouter revealed to be Meituan's LongCat-2.0, a 1.6T parameter model with ~48B activated parameters optimized for reasoning and tool calling.
@natolambert: When we were in China, @xeophon and I made a quick detour to visit Meituan. They continue to be one of our favorite ope…
Nathan Lambert shares his visit to Meituan and highlights their open model development approach. Meituan's LongCat team announces LongCat-2.0, a 1.6T parameter MoE model with 48B active parameters and 1M context, built for agentic coding and available on OpenRouter.
@sheriyuo: The industry's first trillion-parameter model to complete end-to-end training and inference on a 50,000-GPU Chinese com…
Meituan released LongCat-2.0, a 1.6T-parameter MoE model with 1M context, claimed as the first to train on a 50,000-GPU Chinese cluster, now available on OpenRouter for agentic coding.
@rohanpaul_ai: The model ("Owl Alpha") is designed for agentic workloads: - tool calling - multi-step reasoning - long-context executi…
Owl Alpha is a new model designed for agentic workloads including tool calling, multi-step reasoning, long-context execution, code generation, automated workflows, and DevOps tasks.