Daily Report on Hong Kong-Listed LLM Concept Stocks (June 30, 2026)

On June 30, Hong Kong stock indices diverged, with the Hang Seng TECH Index bucking the broader trend to rise 1.8%, though both HSI and TECH indices hit periodic lows for the first half of the year. The AI and semiconductor sectors led the rebound: KNOWLEDGE ATLAS surged over 7%, Tencent gained 2.3% on gray-box testing of WeChat Agent, and semiconductor equities including SMIC and ASMPT rallied following South Korea's massive AI investment plan. In corporate developments, DeepSeek introduced a peak-and-valley API pricing mechanism ahead of its V4 mid-July launch; XUNCE partnered with BIDE to advance vertical data tokenization; and Meituan open-sourced LongCat-2.0, an industry-first trillion-parameter model trained entirely on a domestic 50,000-GPU cluster.

I. Industry Observations

On June 30, 2026, major Hong Kong stock indices exhibited divergent trends. The Hang Seng Index (HSI) closed down 0.63% at 22,881.02 points, the Hang Seng TECH Index rose 1.80% to 4,472.23 points, and the Hang Seng China Enterprises Index (HSCEI) fell 0.62% to 7,558.30 points. Total daily turnover reached HKD 308.05 billion, with Southbound trading recording a net inflow of HKD 5.895 billion. In the first half of the year, the HSI cumulatively dropped over 10%, and the Hang Seng TECH Index plummeted nearly 19%, both hitting periodic lows.

The AI and semiconductor supply chains led the market rebound. Lenovo Group surged 8.2% and Baidu-SW gained 5.1%, buoyed by institutional optimism regarding AI development prospects. Tencent advanced 2.3% as gray-box testing for WeChat Agent commenced, with institutions favoring WeChat's portal value in the AI era. KNOWLEDGE ATLAS rallied 7.3%.

The semiconductor sector strengthened, with SMIC rising 5.4% and Hua Hong Semiconductor advancing 5.4%. Following South Korea's launch of a massive AI industry investment plan—marked by large-scale capital deployments from Samsung and SK Hynix—semiconductor equipment manufacturers are expected to be the primary beneficiaries, propelling ASMPT up by 10.1%. XPeng-W rallied 6.9% after officially unveiling its X-Mind technical framework, which endows in-vehicle AI agents with efficient visual chain-of-thought capabilities. Robotics concept stocks broadly strengthened, with Estun Automation jumping 9.9%. PCB and optical communication equities mostly advanced, as Victory Giant Technology surged over 7%, Yangtze Optical Fibre and Cable (YOFC) gained over 6%, and Kingboard Laminates rose nearly 3%.

II. Market Performance of LLM Concept Stocks

Stock Code

Stock Name

Latest Price (HKD)

Change

02513.HK

KNOWLEDGE ATLAS

2,104.00

7.29%

09888.HK

BIDU-SW

109.6

5.08%

00700.HK

TENCENT

429.8

2.28%

03317.HK

XUNCE

121.8

2.01%

01024.HK

KUAISHOU-W

41.6

1.46%

03690.HK

MEITUAN-W

68.5

1.26%

00020.HK

SENSETIME-W

1.34

0.00%

09988.HK

BABA-W

92.85

-0.16%

00100.HK

MINIMAX-W

417

-2.89%

02718.HK

MININGLAMP-W

207.4

-6.32%

Data Source: HKEX. For reference only, not investment advice. Data as of market close onJune 30, 2026. 

III. Industry and Corporate Dynamics

1. DeepSeek: Announces the Introduction of a Peak-and-Valley Pricing Mechanism; Official V4 Release Scheduled for Mid-July

On June 29, DeepSeek announced an adjustment to its API pricing strategy, introducing a peak-and-valley billing mechanism for the first time. Taking DeepSeek-v4-pro as an example, during peak hours (9:00–12:00 and 14:00–18:00 daily), the input price for a cache hit is RMB 0.05 per million tokens, the input price for a cache miss is RMB 6 per million tokens, and the output price is RMB 12 per million tokens—all of which are double the standard off-peak rates. The V4 Flash model will also implement this peak-and-valley pricing simultaneously. The official version of DeepSeek V4 is scheduled to launch in mid-July, bringing further functional optimizations and performance enhancements. The company stated that the introduction of this pricing mechanism aims to allocate resources more rationally and improve overall service stability.

2. XUNCE (03317.HK): Enters into a Strategic Cooperation Framework Agreement with Beijing International Data Exchange to Advance Data Tokenization in Vertical Industries

On June 29, XUNCE (03317.HK) issued an announcement stating that it has officially entered into a cooperation framework agreement with the Beijing International Data Exchange (BIDE). This marks a further deepening of the company's strategic layout within the data elements market and national-level data trading platforms. The two parties will engage in strategic cooperation across several key areas: co-building the practical application of data tokenization in vertical domains, facilitating data circulation and industrial empowerment for embodied AI robots, jointly establishing a digital asset service system, and driving the digitalization of the biomedical industry alongside the co-construction of vertical data ecosystems. This partnership aims to accelerate the commercial deployment of data tokenization capabilities across vertical industries.

3. MEITUAN-W (03690.HK): Officially Launches Next-Generation Trillion-Parameter Large Model LongCat-2.0, Slated for Open Source

On June 29, Meituan officially released its next-generation trillion-parameter large model, LongCat-2.0, and announced plans to open-source it to the public. It stands as the industry's first trillion-parameter model to complete its full training and inference pipeline exclusively on a domestic computing cluster comprising 50,000 AI accelerators. The model features a total parameter scale of 1.6 trillion, with an average activation of approximately 48B and a dynamic range of 33B to 56B. Its pre-training data volume exceeds 30 trillion tokens, encompassing Chinese, English, multilingual corpora, and code data, while natively supporting an ultra-long context window of 1 million tokens. Its architectural design is heavily centered around Agentic Coding tasks, aiming to execute code comprehension, generation, and execution with enhanced efficiency and stability.

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.

MININGLAMP-W

02718.HK

LLM concept stock, dubbed the "First Agentic AI Stock in Hong Kong"

Its self-developed model cluster includes the DeepMiner LLM product line (underlying engine), models such as Mano/Cito, and the Cider inference acceleration framework. These are all interconnected by the Octo platform layer to serve as a human-Agent collaboration hub, ultimately delivered in the form of Agentic Services to empower the implementation of decision-making agents in industries like marketing and mass consumption. The company bypasses the "Scaling Up" route of monolithic LLMs, opting instead for a "Scaling Out" approach through the collaboration of multiple specialized small models, achieving precision that surpasses general models in vertical scenarios. Its core moats lie in granular scenario data, specialized models, and continuous learning, culminating in an open-source, privately deployable, and white-box auditable Private AI infrastructure.

MININGLAMP-W

02718.HK

LLM concept stock, dubbed the "First Agentic AI Stock in Hong Kong"

Its self-developed model cluster includes the DeepMiner LLM product line (underlying engine), models such as Mano/Cito, and the Cider inference acceleration framework. These are all interconnected by the Octo platform layer to serve as a human-Agent collaboration hub, ultimately delivered in the form of Agentic Services to empower the implementation of decision-making agents in industries like marketing and mass consumption. The company bypasses the "Scaling Up" route of monolithic LLMs, opting instead for a "Scaling Out" approach through the collaboration of multiple specialized small models, achieving precision that surpasses general models in vertical scenarios. Its core moats lie in granular scenario data, specialized models, and continuous learning, culminating in an open-source, privately deployable, and white-box auditable Private AI infrastructure.

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.

MEITUAN-W

03690.HK

An AI technology pioneer in the local lifestyle services sector

Its AI-native community "Miyou" has validated its practical value in physical operational scenarios, helping catering brands improve operational efficiency. The company continues to optimize search, recommendation, and dispatch algorithms within the local lifestyle ecosystem using its self-developed LLM capabilities. By introducing AI agent technologies into intelligent customer service, merchant marketing assistants, and on-demand delivery route planning, it remains committed to enhancing bilateral operational efficiency and refined management levels.

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