Large Model Concept Stocks Watch | Zhipu (2513.HK) Surges Over 10% Intraday as Founder Proposes "Peak-Reaching Program" Strategy

NewTimeSpace (newtimespace.com) News, On July 13, 2026, Hong Kong large model concept stocks diverged in morning trading, with stocks such as Zhipu (2513.HK), Mininglamp Technology (2718.HK), and Kuaishou (1024.HK) leading the gains.As of 09:48, Zhipu (2513.HK) was quoted at HK$1,833.000, achieving an intraday surge of 11.77% and leading the gains in the large model concept stock theme.

NewTimeSpace (newtimespace.com) News, On July 13, 2026, Hong Kong large model concept stocks diverged in morning trading, with stocks such as Zhipu (2513.HK), Mininglamp Technology (2718.HK), and Kuaishou (1024.HK) leading the gains.

As of 09:48, Zhipu (2513.HK) was quoted at HK$1,833.000, achieving an intraday surge of 11.77% and leading the gains in the large model concept stock theme.

In terms of news coverage, on July 11, Zhipu CEO Tang Jie proposed the "Peak-Reaching Program" strategy, which will challenge the current physical and algorithmic limits of technology. Over the next two years, the plan focuses investments on four core engines: long-range tasks, autonomous agent systems, complete self-training, and extreme safety governance.

Kaiyuan Securities stated that domestic models continue to make breakthroughs in technical performance, practicality, and cost-effectiveness. This is expected to sustain the positive cycle of "large financing + model performance leaps + high growth in Token/ARR + surging valuations" among model developers, and further increase the global market share of domestic models. It is recommended to remain firmly positioned in the direction of domestic large models.

Hong Kong-listed Large Model Concept Stocks:

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.

MININGLAMP-W (02718.HK)

As an LLM concept stock, the company fully underpins its Agentic AI positioning with its self-developed edge models—Mano, Cito, and Mano-P—alongside the Cider inference framework. Its business architecture utilizes the DeepMiner LLM as the underlying engine and Octo as the collaborative hub, uniformly delivering various AI products and industry solutions in the form of Agentic Services. Mininglamp pursues a differentiated technological route, bypassing the parameter expansion of general models in favor of a "Scaling Out" approach that coordinates multiple specialized small models. Its core moats do not rely on parameter scale, but rather on granular scenario data, specialized models, and continuous learning. This enables it to achieve a level of precision in vertical scenarios that general models cannot match, as it remains committed to building an open-source, privately deployable, and white-box auditable Private AI infrastructure.

KUAISHOU-W (01024.HK)

A leading multimodal content generation platform in China. Kling AI has completed independent financing with a total cap of USD 3 billion, at a post-money valuation of USD 18 billion, setting a global record for video foundation model companies, with plans to initiate a Hong Kong IPO within the next 12 months. Kling AI's quarterly revenue has exceeded 650 million RMB, with an Annualized Run Rate (ARR) of nearly USD 500 million. Its general LLM "KwaiYii" and video generation model "Kling" are undergoing continuous iteration, demonstrating high commercial conversion efficiency in scenarios such as e-commerce live streaming and automated marketing 

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