Large Model Concept Stocks Watch | Zhipu (02513.HK) Surges Over 23% Intraday, Refreshing All-Time High Since Listing

NewTimeSpace (newtimespace.com) News:On May 22, 2026, Zhipu (02513.HK)experienced a significant intraday rally. As of 13:12, the stock was trading at HK$1,245, an increase of 23.27%, setting a new all-time high for the company's share price.

On the news front, Zhipu announced that it is providing the "GLM-5.1-highspeed"API to selected enterprise clients. The model achieves an output speed of 400 tokens/s, setting a new global benchmark for API speeds among large model vendors.

It is understood that on May 21, 2026, Zhipu announced that it had recently partnered with Yuxun Networkand Tsinghua Universityto successfully implement the next-generation network architecture, ZCube, at scale within its GLM-5.1 production cluster.

In a recent report, Morgan Stanleystated that ZCube represents a significant technological innovation that will help alleviate bottlenecks in the supply of inference computing power. Guotai Haitong Securitiesbelieves that the introduction of specific policies for intelligent agents provides clear support for the standardized application and innovative development of AI agents. With the gradual refinement of the policy framework, both the supply and demand sides of agent products and services are gaining momentum, and the large-scale pilot testing and deployment of AI agents are expected to accelerate.

KNOWLEDGE ATLAS (02513.HK)

Knowledge Atlas Technology Joint Stock Company Limited (02513.HK; commercially known as Zhipu AI) is a leading player in China's independent large language model (LLM) sector (recognized for its capabilities and market position by Frost & Sullivan). The company has released its next-generation flagship model, GLM-5, achieving open-source State-of-the-Art (SOTA) performance in coding and agentic capabilities. It has also open-sourced the multimodal image generation model GLM-Image in collaboration with Huawei. Focusing on novel model architecture design, generalized reinforcement learning paradigms, and autonomous model evolution, its business layout closely aligns with the trend of enterprise-level AI productivity transformation.

NewTimeSpace Disclaimer: All content herein is the original work of NewTimeSpace. Any reproduction, reprinting, or use of this content in any other manner must clearly indicate the source as "NewTimeSpace". NewTimeSpace and its authorized third-party information providers strive to ensure the accuracy and reliability of the data, but do not guarantee the absolute correctness thereof. This content is for reference only and does not constitute any investment advice. All transaction risks shall be borne by the user.