The First Entry of Large Model Services into Mainstream E-commerce: Zhipei AI Officially Enters Tmall and Opens an Official Flagship Store, with Individual Packages Starting at 118 Yuan per Month

Commercialization of domestic large models is opening up new consumer scenarios. The leading domestic large model company, Zhipu, recently announced its official入驻 on the Tmall platform, opening an official flagship store. Starting from now, ordinary consumers can directly search for the relevant store in the Taobao App and place orders online to purchase large model subscription services, marking the expansion of large model commercial subscriptions from traditional website direct sales models to mainstream e-commerce ecosystems.

The core product launched on the Tmall flagship store is the Zhipu GLM Coding Plan subscription package. This package is based on the latest GLM-5.3 model and is deeply compatible with more than 20 mainstream intelligent agent tools, such as ZCode, Claude Code, and Codex, fully covering developers' daily usage needs.

In terms of specific version divisions and pricing, the store offers a wide range of options to meet the differentiated needs of different groups:

* Personal Lite: priced at 118 yuan, including 10,000 points per week

* Personal Pro: priced at 538 yuan, including 60,000 points per week

* Personal Max: priced at 1,078 yuan, including 140,000 points per week

* Team Standard Seat: priced at 598 yuan, including 66,000 points per seat per week

All versions above support flexible subscriptions on a monthly, quarterly, or annual basis. The operating entity, Beijing Zhipu Huazhang Science and Technology Co., Ltd., stated that in the future, users will be able to directly purchase and recharge tokens (Tokens) on the e-commerce platform, further lowering the usage threshold of large model tools.

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The First Entry of Large Model Services into Mainstream E-commerce: Zhipei AI Officially Enters Tmall and Opens an Official Flagship Store, with Individual Packages Starting at 118 Yuan per Month

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