zhipu

According to RootData's popular TradFi asset data, as of the time of publication, UNITREE, MINIMAX, and ZHIPU rank in the top three in popularity, with a collective significant price increase over 24 hours, with increases of 21.38%, 17.16%, and 8.12%, corresponding to prices of $93.32, $24.01, and $63.19, respectively.

According to Gate market data, Hong Kong stocks in artificial intelligence have strengthened, with Zhipu rising over 6%, MINIMAX-W rising over 9%, Xunce rising over 5%, and Xiaomi rising over 4%.

According to Beating AI's news, a summary of an expert interview circulating in the investment community states that the next-generation foundational model of the artificial intelligence company Zhipu is not the previously rumored 1.6 trillion parameters, but rather between 2.5 trillion and 3.5 trillion parameters. The GLM-5.3 released by Zhipu in August this year still uses the previous generation foundational model, with a total of approximately 744 billion parameters; if the information is true, the new foundational model's scale is about 3.4 to 4.7 times that of the current one.The summary also states that the training has not gone smoothly, as Zhipu adopted a more aggressive model architecture, and during the pre-training period, there was a time when the loss did not decrease, meaning that computational power was continuously invested but training metrics could not continue to improve. The interviewee believes that the problem should have been resolved recently, and training is expected to be completed soon, predicting that the new model can reach flagship levels comparable to Claude Fable.The summary further mentions that the new model has taken inference speed and cost as hard constraints from the architectural design stage, with the goal of being able to provide services on a large scale from the first day of release. At the same time, multiple cloud vendors are negotiating revenue sharing to address the issue of large models being produced but not being able to supply.

According to Gate quotes, the two giants of Hong Kong stocks fell together, with Zhipu (02513.HK) dropping over 5%, and the stock price falling below 500 Hong Kong dollars; MINIMAX-W (00100.HK) fell 6.5%.

On October 16, B.AI announced the domestic model brand Token weekly ranking from October 9 to 15. Xiaomi model Token usage has remained steady at 2nd place for three consecutive weeks, with a month-on-month increase of 49.9%, and the platform Token usage proportion increased by 10.4 percentage points; DeepSeek continues to lead this week with a total of 1.03T Tokens; Zhipu saw a month-on-month growth of 44.3%, with the platform proportion increasing by 3.7 percentage points, ranking 3rd; Moonshot Token usage surged by 286.5% month-on-month. With multiple models competing on the same stage, real usage witnesses market changes. B.AI continues to expand model choices, helping developers flexibly access diverse AI capabilities. Welcome to log in to b.ai to explore.

According to Gate Market, Hong Kong stock large model stocks fell, Zhipu (02513.HK) and MINIMAX-W (00100.HK) both dropped over 10%.

The artificial intelligence company Zhipu released a legal-specific model GLM-Legal, which is further trained based on GLM-5.3-Flash. In the Harvey LAB evaluation covering 24 categories of legal services, the task pass rate increased from 6.7% to 19.2%, nearly tripling the original version, surpassing models like Kimi K3 and Claude Fable 5, and ranking seventh on the Vals AI leaderboard.When reviewing software service contracts, GLM-Legal suggested shortening the termination notice period from 60 days to 30 days and required service providers to offer up to 90 days of handover support. In another software project dispute involving 40 documents, it found that the company reported to the client that the project was 60% complete, while internal records indicated only about 41%. It also identified emails from the CEO requesting to conceal risks and continue charging, and analyzed potential legal liabilities in conjunction with contract terms.According to independent evaluations by Vals AI, the cost for GLM-Legal to complete a test is $0.15, while the closely performing Gemini 4 Argon costs $10.55, a cost difference of about 70 times. GLM-Legal took an average of 72 minutes, while the latter took 44 minutes. Zhipu stated that the model was trained specifically on legal data and conducted reinforcement learning in tens of thousands of simulated legal environments. Currently, GLM-Legal requires an API trial application.

On September 29, 2026, the Anthropic Frontier Red Team published a research article authored by Andrew Fasano, Marius Fleischer, Cole McFaul, Robert Xiao, and Tripp Gallagher. The article states that about five months ago, Anthropic released the Claude Mythos Preview through Project Glasswing in a limited manner, as it can autonomously construct end-to-end exploit capabilities; trusted defenders discovered over 10,000 vulnerabilities in critical software based on this, and similar capabilities have now spread to other models.The article mentions that the GLM-5.3 developed by ZhiPu AI (known overseas as Z.ai) is similar to the Claude Mythos Preview, possessing strong autonomous end-to-end exploit development capabilities, but it is released with open weights and lacks meaningful abuse restrictions. In simulated tests, the success rate of bypassing GLM-5.3 defenses using simple methods was about 64% to 100%, while the same methods failed to make the protected Claude model perform harmful tasks; these capabilities can also be used by defenders to strengthen systems.On September 17, 2026, the National Institute of Standards and Technology's Artificial Intelligence Standards and Innovation Center assessed that GLM-5.3 is currently the most powerful open-weight model in terms of network capabilities, lagging behind the U.S. frontier by about four months in its network benchmarks, and Anthropic stated that the capability conclusions are generally consistent.

The Tianyancha App shows that recently, the associated company of Zhipu AI, Beijing Zhipu Huazhang Technology Co., Ltd., has undergone a business change, with registered capital increased from approximately 46.56 million RMB to approximately 48.76 million RMB.The company was established in June 2019, with Liu Debing as the legal representative. Its business scope includes the development of basic software for artificial intelligence, the development of application software for artificial intelligence, data processing and storage support services, information technology consulting services, etc., jointly held by Tang Jie, Tianjin Sankuaike Technology Co., Ltd., Guangxi Tencent Venture Capital Co., Ltd., and others.

Taiyuan Chengming Technology Co., Ltd. sent a letter to Beijing Zhipu Huazhang Technology Co., Ltd., raising multiple demands regarding the alleged unauthorized upload of company data assets and trade secrets by its ZCode client, and reserving the right to pursue legal accountability. Chengming Technology pointed out that although Zhipu has publicly apologized for the "silent upload of user local repository data" and claimed to have fixed the issue, independent evidence collection revealed that the upload behavior was automatically triggered and occurred in bulk, including complete archived files such as project source code, system architecture, version control history, database passwords, cloud service credentials, and employee personal information, far exceeding the scope of collection stated in its Privacy Policy.Although the client was updated to version 3.12.3 on September 16, upload behavior was still detected in the early hours of the day Zhipu publicly apologized, raising doubts about the actual effectiveness of the "fix." At the same time, the ZCode client’s network requests pointed to a Singapore entity, while the service agreement was signed with Beijing Zhipu Huazhang, requesting clarification on the responsible party for this upload, as well as whether the data was transmitted abroad or stored overseas.Chengming Technology demanded that Zhipu respond in writing by October 10 and complete the immediate cessation of processing and thorough deletion of all uploaded data and related derivative data, caches, and backups, provide a complete list of processing situations, clarify the data's whereabouts, whether it was shared with third parties, whether it was used for model training, and whether cross-border transmission occurred, explain the management of encryption private keys and complete operation logs, clarify the exact scope of "destruction" mentioned in previous public responses, issue proof of deletion completion, provide a written commitment not to upload without authorization again, legally provide access, copying, and explanation of personal information, and designate formal communication channels, among other matters. Currently, Zhipu has not publicly responded to the aforementioned letter.

The GLM team disclosed the first engineering practice of recursive self-improvement, completed by the Infra Agent powered by GLM-5.3, which designed, debugged, and optimized the GLM-5.3-Flash inference infrastructure.This practice was completed on a domestic cluster with a capacity of one hundred thousand cards, and the team referred to it as the first recursive self-improvement practice for large models in the country.

Zhipu stated in a conference call with analysts and investors that it has signed revenue-sharing agreements with several leading domestic and international cloud service providers, and the related revenue will start to be recognized from October.The cooperation model involves providing services for the GLM series of open-source models in the form of hosted APIs on overseas cloud platforms. Currently, the company's total business ARR has reached 1.8 billion USD, and the year-end ARR guidance has been raised from 2.4 billion USD to 3 billion USD.

Zhiyu (02513.HK) stated in a conference call with analysts and investors that the company has just completed a refinancing of $5 billion with a "small equity, large debt" structure, which was driven by the demand for computing power expansion.After the release of GLM-5 in February, the demand for model calls surged tenfold, and nearly all of the company's computing power reserves were depleted within the week of the release, forcing the suspension of the main product, Coding plan. In response, Zhiyu actively addressed the situation, completing a $4 billion refinancing in July, and finally made a large-scale layout for computing power expansion; after refinancing another $5 billion on September 11, it firmly continued to expand its computing power layout.After this expansion, Zhiyu's computing power has taken shape and is now able to support the company's rapid business growth and the continuous research and development of larger-scale models.

Zhiyu announced the completion of approximately 5 billion USD in financing, including 2 billion USD in equity placement and 3 billion USD in zero-interest convertible bonds. The funds will primarily be used for the next-generation GLM model, self-training systems, and computing power infrastructure construction.

According to a report by Reuters, artificial intelligence company Zhipu has launched a Hong Kong stock placement of approximately 2 billion USD and a convertible bond issuance of about 3 billion USD, totaling a financing scale of around 5 billion USD. Zhipu will issue 21.97 million new shares at a placement price of 714 HKD per share, which is about a 10% discount compared to the closing price of 793 HKD; at the same time, it will issue 20.14 billion RMB (approximately 3 billion USD) zero-coupon convertible bonds, maturing in September 2027. The issuance price of the convertible bonds is 100% to 100.5% of face value, corresponding to a yield of -0.5% to 0%, with an initial conversion price of 892.5 HKD, which is a 25% premium over the placement price.The proceeds from the financing will mainly be used for research and development, computing power resources, and related infrastructure, as well as for business expansion, strategic investments, potential mergers and acquisitions, working capital, and other corporate purposes. This stock placement and convertible bond issuance will occur simultaneously, but the settlement of the two transactions is not interdependent.

According to the official announcement from Zhipu, the "Citywide Coding Program" launched on September 10, providing coding package subsidies for employees in Hangzhou, students from universities in Hangzhou, and companies in Shangcheng District.The subsidy for individual quarterly and annual cards is 44% and 51%, respectively, while the subsidy for corporate annual cards is 55% (with a maximum limit of 1 million yuan per company). Each individual is limited to one use, and must choose between a quarterly or annual card, with a requirement to submit proof of social insurance participation or a student status verification report for application.

On September 8, B.AI, the intelligent global settlement layer connecting models, Agents, and value flow, announced that GLM-5.3-Flash will continue to provide free calling support for global developers after the official limited-time 50% discount ends at 24:00 on September 9. Developers will not need to change their usage habits due to upstream price adjustments.GLM-5.3-Flash is the leading model in terms of call volume on the current B.AI platform, with a total of 320 billion parameters and 18 billion active parameters, supporting 1 million ultra-long contexts, balancing rapid response and reasoning capabilities, and is used for code assistance, data processing, and text generation.

According to the latest data from OpenRouter reported by the Daily Economic News, the total global invocation of AI large models last week (from August 31 to September 6) reached 115 trillion tokens, a month-on-month increase of 1.77%. Among them, the weekly invocation of China's AI large models reached 56.72 trillion tokens, a month-on-month increase of 2.83%, surpassing the United States (16.54 trillion tokens, a month-on-month decrease of 3.1%) for nineteen consecutive weeks, ranking first in the world.Among the top five global invocation volumes, four are Chinese models. Tencent's Hyper Yuan Hy4 preview ranks first with 14.7 trillion tokens, a month-on-month increase of 379%; GPT-5.6 Luna ranks second with 12.9 trillion tokens; Zhiyu GLM-5.3 Flash rises to third with 12.4 trillion tokens; DeepSeek-V4-Flash's official and preview versions rank fourth and fifth, respectively.MiniMax M3 returns to the list after nearly a month, ranking sixth, and has become the foundational base for Saudi HUMAIN's Arabic large model. In addition, Xiaomi MiMo-V2.5 and Gemini 3.7 Flash fell out of the list this week.

According to 36Kr, Zhipu has recently opened an official flagship store on Tmall. Data shows that within 48 hours of opening, brand searches surged 50 times compared to the previous period, driving a more than 160% increase in transactions for subscription products like AI tokens on Taobao and Tmall.Previously, Tmall launched the AI Space Station (Token Recharge Center), which initially integrated major model providers such as Alibaba Cloud, Zhipu, Kimi, MiniMax, and DeepSeek, allowing users to directly purchase related subscription services just like "recharging phone credits."