Daily Report on Hong Kong-Listed LLM Concept Stocks (June 15, 2026)

NewTimeSpace · 2026/06/15 17:04 · By Zeyu Wu

On June 15, Hong Kong stocks fluctuated higher as the AI and semiconductor supply chains erupted across the board. ZHIPU AI skyrocketed over 32% following the full release and imminent open-sourcing of its GLM-5.2 model, driving a market revaluation of domestic LLMs, while semiconductor and AI hardware equities like Hua Hong and Lenovo surged. Industry dynamics highlighted a stark divergence: the US Commerce Department imposed strict export controls on Anthropic's latest models, forcing a global access suspension, whereas ZHIPU AI championed accessibility by fully opening its most powerful model. Concurrently, XUNCE forged strategic alliances with three major domestic GPU manufacturers to develop integrated hardware-software solutions tailored for vertical industries.

I. Industry Observations

On June 15, 2026, Hong Kong stocks opened higher and fluctuated throughout the trading day. The Hang Seng Index (HSI) closed up 0.50% at 24,842.67 points, the Hang Seng TECH Index rose 1.28% to 4,765.58 points, and the Hang Seng China Enterprises Index (HSCEI) edged up 0.02% to 8,375.74 points. Total daily turnover stood at HKD 283.4 billion.

The AI and semiconductor supply chains erupted across the board. ZHIPU AI skyrocketed 32.8% as the company fully rolled out its GLM-5.2 model and announced its impending open-source release under the MIT License, prompting the market to fundamentally re-evaluate the usability and strategic value of domestic large models. MINIMAX-W surged 7.0%.

The semiconductor sector rallied in tandem, led by Hua Hong Semiconductor soaring 10.1%, with GigaDevice and SMIC also delivering eye-catching performances. The AI hardware chain strengthened simultaneously; Lenovo Group jumped 9.3%, Kingboard Laminates skyrocketed 22.3%, and TIME Interconnect Technology soared 21.9%.

II. Market Performance of LLM Concept Stocks

Stock Code	Stock Name	Latest Price (HKD)	Change (%)
02513.HK	KNOWLEDGE ATLAS	1,457.00	32.82%
00100.HK	MINIMAX-W	423.8	7.02%
03317.HK	XUNCE	151.1	2.51%
00020.HK	SENSETIME-W	1.5	1.35%
01024.HK	KUAISHOU-W	46.24	0.78%
03690.HK	MEITUAN-W	78.25	0.45%
09888.HK	BIDU-SW	114.7	-0.78%
09988.HK	BABA-W	109.3	-0.82%
00700.HK	TENCENT	459.6	-0.86%
02718.HK	MININGLAMP-W	240.6	-1.80%

Data Source: HKEX. For reference only, not investment advice. Data as of market close onJune 15, 2026.

III. Industry and Corporate Dynamics

1. Anthropic’s Powerful Fable 5 and Mythos 5 Models Subject to US Commerce Department Export Controls; Global Access Suspended Indiscriminately

On June 12, US Secretary of Commerce Howard Lutnick issued a formal letter to Anthropic CEO Dario Amodei, placing Claude Fable 5 and Mythos 5 under export control restrictions on national security grounds. The directive mandates an immediate suspension of access for all foreign nationals—whether residing inside or outside the United States, and explicitly including Anthropic's own foreign employees. Anthropic stated that the decision was predicated on a "grave misunderstanding." However, because it cannot distinguish user nationalities in real-time, the company opted to suspend access for all users globally. Anthropic is currently engaged in discussions with regulatory authorities to reinstate compliant access via a more granular licensing mechanism. The two models, released on June 9, were completely halted just 72 hours post-launch.

2. KNOWLEDGE ATLAS (02513.HK) Announces Full Roll-Out of GLM-5.2; API Launch and Open-Sourcing Imminent

On June 13, ZHIPU AI announced the full roll-out of its GLM-5.2 model to all users under the GLM Coding Plan (including Lite, Pro, Max, and Team editions). Featuring a 1M context window, GLM-5.2 stands as ZHIPU AI's most capable open-source model to date. The API is slated to go live in the coming days, and the model weights will be officially open-sourced under the MIT License. In its announcement, ZHIPU AI noted: "At a time when certain frontier models suddenly become unavailable, frontier intelligence should not belong solely to a select few, nor should it be revoked at any moment by arbitrary rules. It ought to be open, accessible, and buildable—serving every single developer."

3. XUNCE (03317.HK) Inks Three Strategic Pacts with MetaX, Iluvatar CoreX, and Biren Technology, Launching First Systematic Collaboration with Domestic Computing Power

On June 15, XUNCE Technology executed separate strategic cooperation agreements with MetaX, Iluvatar CoreX, and Biren Technology. Focusing on the convergence of "computing power + data," the partnerships aim to integrate XUNCE's scenario-specific data and tokenization capabilities across vertical fields—such as finance, manufacturing, and energy—with the chip architectures and compute optimization advantages of the three domestic GPU manufacturers. Together, they will develop integrated hardware-software solutions tailored for vertical industries. Specifically, the collaboration with MetaX will center on end-to-end intelligent computing for smart manufacturing and fintech; the alliance with Iluvatar CoreX will focus on the R&D of heterogeneous computing networks and embodied AI applications; and the partnership with Biren Technology will target intelligent computing solutions for urban management alongside the development of specialized all-in-one appliances. All participating entities are independent third parties, and definitive commercial contracts will be executed separately.

IV. Introduction to LLM Concept Stocks

Stock Name	Stock Code	Market Position	LLM Products & Business Profile
KNOWLEDGE ATLAS	02513.HK	A leading player in China's independent LLM sector	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-5.2, 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.
MINIMAX-W	00100.HK	A top-tier player dedicated to omni-modal Artificial General Intelligence (AGI)	The company continuously iterates its video generation model matrix and has partnered with mainstream domestic and overseas chip manufacturers and inference platforms to complete underlying adaptations. The total monthly active users (MAU) of its B2C and B2B LLM applications, along with multimodal API call volumes, maintain rapid growth, further broadening its computing power ecological layout.
XUNCE	03317.HK	A leading data infrastructure provider for financial asset management in China	Recognized by the market as the "First Token Stock." The company continues to deepen the integration of LLMs into the core business workflows of financial asset management, reconstructing investment research, trading, and risk control pipelines through underlying data governance and AI technologies. Its underlying structured data cleaning capabilities closely align with the digital transformation of financial institutions and the compliant implementation trends of LLMs.
MININGLAMP-W	02718.HK	LLM concept stock, dubbed the "First Agentic AI Stock in Hong Kong"	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.

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