Daily Report on Hong Kong-Listed LLM Concept Stocks (June 10, 2026)

NewTimeSpace · 2026/06/10 17:28 · By Zeyu Wu

On June 10, the three major Hong Kong indices drifted lower, with chip and LLM concept stocks under selling pressure as ZHIPU AI slid over 7%, while AI application plays like Kuaishou and Tencent bucked the trend. Internationally, Anthropic released its Fable 5 model with tightened security constraints alongside an unaligned version to ease regulatory oversight ahead of its IPO. Domestically, Meituan officially launched its AI-native browser Tabbit 1.0, enabling automated cross-webpage workflows across multiple LLMs, while Zhipu AI allied with HFUT to establish a multi-tier "LLM Innovation Experimental Class" to secure elite talent pipelines for the industry.

I. Industry Observations

On June 10, 2026, the three major indices of the Hong Kong stock market closed lower across the board. The Hang Seng Index (HSI) declined 0.64% to 24,407.96 points, the Hang Seng TECH Index fell 0.94% to 4,724.79 points, and the Hang Seng China Enterprises Index (HSCEI) edged down 0.07% to 8,318.73 points. Total daily turnover reached HKD 320.554 billion, with Southbound trading recording a net inflow of HKD 8.243 billion.

The AI and semiconductor supply chains were under noticeable selling pressure. The memory chip sector led the downward trend, with GigaDevice dropping 7.5% and Montage Technology falling 4.2%. AI concept stocks retreated collectively, as ZHIPU AI (02513.HK) slid 7.75%, DeepZero plunged 17.3%, and Quant Group declined 9.4%. Concurrently, the optical communication sector pulled back, with YOFC down 9.4% and Cambridge Industries Group (CIG) shedding 7.3%.

Conversely, select AI application plays bucked the market trend to finish higher. KUAISHOU-W (01024.HK) rose 3.79% on news that global users for Kling AI surpassed 100 million on its second anniversary, with its 3.0 series models further expanding AI narrative boundaries. TENCENT (00700.HK) gained 2.74% as its WeChat AI Agent made more substantive progress, with institutional consensus projecting a full public beta rollout by the fourth quarter.

II. Market Performance of LLM Concept Stocks

Stock Code	Stock Name	Latest Price (HKD)	Change (%)
01024.HK	KUAISHOU-W	46.02	3.79%
00700.HK	TENCENT	465.6	2.74%
03690.HK	MEITUAN-W	79	2.33%
09888.HK	BIDU-SW	116.7	0.09%
03317.HK	XUNCE	157.3	-0.06%
09988.HK	BABA-W	113.5	-2.22%
00100.HK	MINIMAX-W	451.8	-2.71%
00020.HK	SENSETIME-W	1.48	-3.90%
02718.HK	MININGLAMP-W	168.6	-6.18%
02513.HK	KNOWLEDGE ATLAS	1,048.00	-7.75%

Data Source: HKEX. For reference only, not investment advice. Data as of market close onJune 10, 2026. KNOWLEDGE ATLAS

III. Industry and Corporate Dynamics

1、Anthropic Launches Fable 5, Disabling Cybersecurity Capabilities; Concurrently Rolls Out Unaligned Variant Mythos 5:

On June 10, Anthropic officially released Fable 5, a new iteration of its Mythos model. This version is explicitly restricted from executing cybersecurity operations and is equipped with guardrails preventing it from answering inquiries regarding cybersecurity and biology, redirecting such queries to the Opus 4.8 model. Concurrently, the company introduced Mythos 5, a variant stripped of certain safety constraints, making it accessible to approximately 200 organizations through its Project Glasswing initiative. This strategic move, unfolding amidst Anthropic's active IPO push, aims to address intensifying regulatory scrutiny over model safety.

2、Following a Three-Month Public Beta, Meituan’s AI-Native Browser Tabbit 1.0 Formally Debuts:

On June 9, Meituan’s GN06 product team announced the official launch of Tabbit 1.0. Tabbit functions as a browser-form AI entry portal that natively integrates prominent domestic models including DeepSeek, LongCat, Zhipu GLM, and Kimi. Upon user intent input, Tabbit autonomously orchestrates and executes complex, multi-application and cross-webpage workflows.

3、ZHIPU AI Partners with Universities to Launch the First Cohort of LLM Innovation Classes, Deepening Industry-Education Integration:

Recently, the Hefei University of Technology and Zhipu AI signed a joint framework agreement in Beijing for industry-education integration and the cultivation of elite, innovative talent. The partnership will establish the "Intelligent Science and Technology Major - LLM Innovation Experimental Class," slated to commence its inaugural enrollment across bachelor's, master's, and doctoral levels in 2026. Zhipu AI will grant students direct access to live research initiatives, core engineering platforms, and commercial application environments, fostering exploration in frontier domains such as multimodal large models, agents, and embodied AI. Scale-level direct educational tracks launched by LLM developers remain a rarity, signaling Zhipu's strategic foresight in addressing its talent shortfalls while setting a benchmark for the industry's educational paradigms.

IV. Introduction to LLM Concept Stocks

Stock Name	Stock Code	Market Position	LLM Products & Business Profile
TENCENT	00020.HK	An Internet tech giant with a national-scale application ecosystem and the platform provider with the broadest LLM implementation scenarios in China	The Hunyuan LLM ranks highly in evaluations on third-party platforms such as OpenRouter. The model continues to deepen its integration into national-level social applications, Tencent Meeting, and the cloud-based collaborative office ecosystem. Backed by a massive MAU base and the Tencent Cloud intelligent computing service system, the company is accelerating the delivery/provision of AI solutions to B2B clients in government and finance, continuously expanding enterprise-level application scenarios.
BABA-W	09988.HK	China's cloud and AI leader	The company has released several new models, including Qwen3.6-Plus, with the Qwen LLM surpassing 1.4 trillion Tokens in daily API calls, setting a new global record for daily calls on third-party platforms. The Qwen consumer-facing application has exceeded 300 million MAU and has been integrated into the smart cabins of multiple automakers. It consistently ranks at the forefront in international benchmark evaluations for coding and agentic capabilities. Its business layout seamlessly matches the trend of scaled procurement of computing power and model APIs by government and enterprise clients.
MININGLAMP-W	02718.HK	LLM concept stock, dubbed the "First Agentic AI Stock in Hong Kong"	It has released DeepMiner, a multi-agent collaborative data analysis platform for commercial data analytics, and the open-source edge GUI (Graphical User Interface) model series, Mano. Deeply engaged in the enterprise service and data intelligence tracks, the company adopts a multi-agent architecture focusing on commercial data analysis. By utilizing structured factual data to mitigate AI hallucination risks, it provides decision-making agent pipelines for the marketing and mass consumption sectors. Additionally, it has launched AI Native hardware to expand the carriers for its agents.
KUAISHOU-W	01024.HK	A leading multimodal content generation platform in China	the company plans to restructure Kling AI and introduce external financing. Kling AI's quarterly revenue has reached 6.5 millions of RMB, with an Annualized Run Rate (ARR) exceeding 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 content generation.
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, 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.

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