AI Model Developers Move to E-commerce Platforms
On September 2, Chinese AI firm Zhipu officially launched its official flagship store on Tmall, becoming the first major large language model developer to enter mainstream e-commerce platforms. This move signals a shift from reliance on self-run channels (such as official websites) toward integrating with Alibaba’s consumer ecosystem. Users can access the store by searching for “Zhipu旗舰店” on the Taobao App, where the GLM Coding Plan subscription package—based on the GLM-5.3 model and compatible with over 20 mainstream agents like ZCode, Claude Code, and Codex—is now available for purchase.
On September 3, Tmall launched a Token Recharge Center, initially integrating five domestic AI firms: Alibaba Cloud, Zhipu, Kimi, MiniMax, and DeepSeek. Of these, Alibaba Cloud and Zhipu operate as brand-flagged official flagship stores, while Kimi, MiniMax, and DeepSeek are currently running under an agency model.
According to an exclusive report by Shanghai Securities News on September 5, firms including Kimi and MiniMax are still in negotiations with Tmall to open official flagship stores, while Jump檕 Star (Jumpy) has also entered communication phase. This wave of channel expansion reflects a broader industry transition from technology-driven development toward product- and service-driven operations, with token subscriptions emerging as the primary monetization pathway.
The Shift in Distribution and Business Models
Previously, AI model developers sold subscription packages primarily through official websites, WeChat official accounts, or developer platforms. By choosing Tmall, Zhipu aims to leverage the platform’s mature user reach and payment infrastructure, lowering barriers to access. Notably, Tmall’s Token Recharge Center adopts a dual-track approach: brand-operated stores (e.g., Zhipu) provide direct service guarantee and after-sales support, while agency-operated stores (e.g., Kimi, MiniMax) intermediary third-party service providers.
This change reflects accelerating demand for tokens. As OpenAI, Google, and Microsoft continuously refine Agent technology, developers’ need for efficient, low-cost access rises. Zhipu’s GLM Coding Plan targets frequent-use groups like programmers and startups by covering the mainstream developer toolchain. Meanwhile, OpenAI’s recent controversy over an AI agent hijacking the German Wikipedia site—followed by criticism over insufficient event disclosure—has highlighted reliability and service stability as critical decision factors for users.
Subscription Package Comparison (Zhipu vs. Other Firms)
| Developer | Platform | Subscription Example | Model Base | Supported Agents | Operating Model |
|---|---|---|---|---|---|
| Zhipu | Tmall Flagship | GLM Coding Plan | GLM-5.3 | 20+ | Brand Official Store |
| Alibaba Cloud | Tmall Flagship | Qwen Token Package | Qwen series | Not disclosed | Brand Official Store |
| Kimi | Token Recharge Center | Not disclosed | Not disclosed | Not disclosed | Agency Model |
| MiniMax | Token Recharge Center | Not disclosed | Not disclosed | Not disclosed | Agency Model |
| DeepSeek | Token Recharge Center | Not disclosed | DeepSeek | Not disclosed | Agency Model |
Practical Recommendations for Users
- Suitable buyers: Senior developers, individual creators, and technical teams in small-to-medium businesses should consider the Tmall route if their workflows require high-frequency access to code generation, document summarization, or similar capabilities—and they are comfortable with the agency model’s service scope.
- Recommended to wait: Enterprise-grade customers or organizations with strict data privacy requirements should wait for clearer service guarantees from brand-operated stores, as the agency model involves longer data handling chains with less transparent compliance frameworks.
In Closing
This channel expansion is not merely about capturing traffic—it represents a pivotal step in transitioning AI from experimental technology to everyday utility. As large models move from labs to shelves, user focus will shift toward subscription value-for-money and service continuity, compelling developers to enhance productization capabilities and responsiveness.