zhipu

According to official news, the Gate gStocks section will launch ZHIPUG (Zhipu AI), MINIMAXG (MiniMax), TENCENTG (Tencent Holdings), HOODG (Robinhood), IBMG (IBM), AMZNG (Amazon), BEG (Bloom Energy), DELLG (Dell Technologies), FLNCG (Fluence Energy), SMHG (VanEck Semiconductor ETF), and SOXSG (Direxion Semiconductor 3x Short ETF) for spot trading of 11 gStocks tokenized securities on July 30 at 14:00 (UTC+8). The gStocks tokenized securities products have a 1:1 full native reserve, providing a one-stop solution for 24/7 securities trading.In addition, Gate will launch the fourth phase of the gStocks new coin trading carnival from July 30 at 16:00 to August 6 at 16:00 (UTC+8). Completing designated gStocks trades will allow participants to receive newcomer rewards, participate in the holding plan and trading competition, sharing a total prize pool of $50,000 SNDKG.

According to Gate market data, the Hong Kong Hang Seng Tech Index rose over 1% during the session. Zhihu (02513.HK) rose over 8%, Xiaomi Group (01810.HK) rose over 5%, Trip.com Group (09961.HK) rose nearly 4%, and Meituan (03690.HK) rose over 3%.

According to the official announcement, Bitget has launched Quanto perpetual contracts for Tencent (TENCENT), Zhipu AI (ZHIPU), and Xiaomi (XIAOMI), supporting up to 20 times leverage and 24/7 trading.TradFi Quanto perpetual contracts allow users to trade Hong Kong stocks and other overseas stocks priced in currencies other than USD directly using USDT, without the need to exchange foreign currency throughout the process. The contracts are quoted in Hong Kong dollars, while the margin deposit and profit and loss settlement are completed in USDT, effectively avoiding additional risks brought by exchange rate fluctuations while simplifying the trading process.

According to market news, Goldman Sachs reported on July 18 that the Dark Side of the Moon released the Kimi K3 model, with 28 trillion parameters, surpassing Claude Fable 5 and GPT-5.6 Sol on the Arena.ai programming leaderboard, reaching a new high for Chinese models with an API pricing of $2.3 per million tokens. Two days after the release, Zhiyu fell by 28%, MiniMax dropped by 16%, the Nasdaq 100 index futures fell by more than 1.8%, and the Philadelphia Semiconductor Index has cumulatively dropped by more than 18% from its peak.Goldman Sachs believes that Kimi K3 marks a turning point: a Chinese laboratory that cannot match the largest pre-trained computing power in the West has rapidly narrowed the gap with top American models through architectural innovation and reinforcement learning, proving that "scaling" is no longer the only winning path. Goldman Sachs warns that the "era of computing power expansion" may be coming to an end, and the investment logic for AI infrastructure built around "the more computing power, the better" needs to be rewritten. Goldman Sachs maintains a buy rating on MiniMax and a neutral rating on Zhiyu. Future attention will focus on the intensive release of 20-50 trillion parameter models such as Zhiyu GLM, Alibaba Qwen, and MiniMax M3 Pro.

According to "AI Technology Review," China's leading large model company Zhipu has invested hundreds of millions of yuan to acquire the AI heterogeneous computing power software infrastructure company Zhongke Jiahe. This move aims to completely address Zhipu's shortcomings in the underlying engineering and compiler capabilities of large models, in response to the structural shortage of computing power and high-concurrency inference challenges caused by a surge in user numbers.Zhongke Jiahe's technology originates from the Compiler Laboratory of the Institute of Computing Technology, Chinese Academy of Sciences, founded by Dr. Cui Huimin. Its core team has been deeply involved in the development of compilers for several domestic chips, including Loongson, Sunway, Cambricon, and Huawei Ascend. Zhongke Jiahe's core advantage lies in its virtual instruction set technology, which can unify different brands and models of chip ecosystems through middleware software, assembling scattered domestic chips into a unified ultra-large-scale cluster, thereby significantly improving overall computing power utilization; its SigInfer inference engine is claimed by the official source to reduce the inference latency of large models by up to 74 times.Recently, Zhipu's Coding Agent business has experienced explosive growth. The newly released GLM-5.2 large model saw a 27-fold increase in daily Token call volume during its first week on the aggregation platform, leading to the exposure of systemic engineering bottlenecks in its inference infrastructure under high concurrency and long context scenarios. After being placed on the U.S. Entity List, Zhipu has actively promoted domestic alternatives and has now completed inference adaptation for eight major domestic computing power platforms, including Huawei Ascend, PingTouGe, and Moore Threads. The acquisition of Zhongke Jiahe will not only directly improve Zhipu's unit Token inference cost and output quality but also provide core underlying compiler technology support for its previously rumored self-developed custom AI inference chip plan.

According to "Intelligent Emergence," multiple independent sources reported that by July 2026, China's leading large model company, Zhipu, had achieved an annual recurring revenue (ARR) of $1 billion. Insiders revealed that between January and July 2026, Zhipu's ARR surged 15 times in just six months. The growth from $100 million ARR to $1 billion took Zhipu only 5 months, surpassing the 15 months it took the American AI lab Anthropic to reach a similar stage. As of the time of publication, Zhipu has not responded to the aforementioned financial data.The rapid rise in Zhipu's revenue is primarily attributed to its concentrated investment in coding and reasoning capabilities. Financial reports show that in the first quarter of this year, even though the API call price for GLM increased by approximately 83%, its overseas subscription prices approached those of Anthropic's Claude Code, yet its total call volume still grew by about 400% against the trend. In June of this year, Zhipu launched its latest open-source large model, GLM-5.2, which has matched or even surpassed mainstream cutting-edge models on several core metrics.Currently, AI coding and video generation have become the fastest commercialized and most revenue-generating tracks for large models globally. As the demand in the coding market becomes more certain, industry competition is intensifying. Domestically, MiniMax released the M3, which focuses on enhancing coding capabilities, in June, while the Dark Side of the Moon launched the K3 open-source model with 2.8 trillion parameters on July 16; internationally, with OpenAI merging ChatGPT and CodeX, it has also shown a momentum to catch up with Anthropic in the coding field, and the global battle for AI productivity tools continues to escalate.

Zhipu (02513.HK) announced on the Hong Kong Stock Exchange that the company previously disclosed a plan to place up to 19.78 million new H shares, which has now been completed on July 13, 2026. A total of 19.78 million new H shares were issued and allocated to no less than 6 subscribers at a placement price of HKD 1588 per share, accounting for approximately 4.25% of the total issued H shares after expansion.The total amount raised from the placement is approximately HKD 31.411 billion, with a net amount of approximately HKD 31.375 billion, intended for research and development of general artificial intelligence, business expansion, and optimizing the capital structure.

According to a report by The Information, multiple informed sources revealed that China's leading AI company Zhiyu is considering designing its own AI chips. It is reported that as the demand for its GLM series large models has rapidly surged, coupled with increasing constraints on computing resources, Zhiyu has recently had preliminary contacts with several domestic chip design companies to explore the possibility of collaborating on the development of custom AI processors.The report pointed out that for large AI model developers, the layout of self-developed chips aims to achieve software and hardware collaborative optimization, improve computing power utilization efficiency, and reduce dependence on external GPU suppliers. In addition to Zhiyu, another domestic large model company, DeepSeek, has also been reported to be simultaneously advancing its self-developed chip project focused on inference scenarios. Globally, top AI developers such as OpenAI (which has announced its self-developed chip Jalapeño) and Anthropic are actively laying out custom chips, and the AI industry is accelerating towards a dual-line layout phase of "model + chip" software and hardware integration.

According to a report by ZeroHedge, JPMorgan predicts in a research report that Zhipu will release the next-generation flagship model GLM-5.5 in August, with the parameter count possibly exceeding one trillion (>1T).Zhipu just open-sourced the GLM-5.2 model with a total parameter count of 744B in mid-June, which has performed impressively in several long-range programming benchmarks. The upcoming trillion-parameter model release will become the next key indicator to assess whether Zhipu can continue to maintain an upward trajectory in its technology curve.

According to an analysis by Tommy, there is a significant gap in valuation and revenue conversion for Chinese open-source AI companies, with their price-to-sales ratio (P/S) far exceeding that of leading counterparts in the United States.Data shows that Zhipu, which developed the GLM 5.2 model, currently has a market value of approximately $137 billion, but its revenue for the fiscal year 2025 is about $107 million, resulting in a price-to-sales ratio as high as 1280 times; MiniMax has a market value of about $23 billion, with a price-to-sales ratio of approximately 290 times. In contrast, the valuations of leading AI laboratories in the United States are more solid, with OpenAI (valued at about $852 billion) and Anthropic (valued at about $965 billion) having price-to-sales ratios of only 34 times and 21 times, respectively.It is believed that due to overseas users' concerns about data privacy, they are unwilling to send data directly to China, resulting in the massive demand for Chinese AI companies not being converted into actual API revenue, leading to significant profit loss to overseas third-party inference service providers (such as OpenRouter, etc.). To support their current high valuations, Chinese AI companies urgently need to prove their data non-retention mechanisms and capture the market at low prices, or explore revenue-sharing and initial licensing collaborations with overseas inference platforms to expand their actual revenue scale.

Zhipu (02513.HK) rose over 30% in the early session, briefly reaching 2980 HKD, and has now fallen back to 2352 HKD, with the increase narrowing to 12.32%.

On the morning of June 22, 2026, the stock price of Zhipu (02513.HK) experienced a significant increase. The stock reported 2708.000 HKD, with a rise of 29.32%, up 614.000 HKD. Today, the stock opened at 2100.000 HKD, reaching a maximum of 2980.000 HKD during the session. As of now, the trading volume is 1.244 million shares, with a transaction amount of approximately 3.087 billion HKD, and the company's total market value has reached 1.207 trillion HKD.

According to the disclosure on the website of the China Securities Regulatory Commission, the IPO counseling status of Beijing Zhipu Huazhang Technology Co., Ltd. on the Sci-Tech Innovation Board has changed to "Counseling Acceptance," with the counseling brokerage being Guotai Junan Securities.

ChainCatcher news, Tianyancha App shows that recently, Zhipu AI's affiliated company Beijing Zhipu Huazhang Technology Co., Ltd. underwent a business change, adding Beijing Artificial Intelligence Industry Investment Fund (Limited Partnership), Shenzhen招商数科 Innovation Private Equity Investment Fund Partnership (Limited Partnership), and Hubei Yangtze River CITIC Technology Mobile Communication Technology Industry Investment Fund Partnership (Limited Partnership) as shareholders, while the registered capital increased from approximately 27.91 million RMB to approximately 31.07 million RMB.