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Banned U.S. AI models like ChatGPT thrive on Taobao's grey market, revealing cracks in state censorship as Chinese consumers and businesses find ways to access Western technology despite official bans.
The Chinese market for banned American large language models (LLMs) such as ChatGPT, Claude, and Gemini is thriving on Taobao, the country's largest e-commerce platform. Despite formal bans and restrictions, these models are readily accessible to both consumers and businesses through a burgeoning grey market. This article explores how these Western AI models are priced, advertised, bought, and sold in China, shedding light on state censorship, platform enforcement, and consumer demand.
The availability of banned U.S. LLMs in China highlights the limitations of government censorship and the resilience of the black market. While the Chinese government has explicitly banned ChatGPT due to concerns over political content, other models like Claude and Gemini are not formally banned but remain inaccessible due to the Great Firewall. However, these restrictions have created a significant opportunity for resellers on platforms like Taobao, who cater to the high demand from both individual users and businesses.
On Taobao, U.S.-based LLMs are priced competitively, with access to models like ChatGPT ranging from a few dollars for a limited number of queries to several hundred dollars for more extensive usage. For example, a package offering 100 API calls to Claude can cost around $5, while a subscription for unlimited access to Gemini Pro might be priced at $30 per month.
These prices are often lower than those in the U.S., making them attractive to Chinese users who seek high-quality AI services without the restrictions imposed by local alternatives. The ease of purchase on Taobao further complicates efforts to enforce bans, as buyers can acquire access with just a few clicks.
Sellers on Taobao advertise these banned models through various means, including using coded language and images that hint at the nature of their products without explicitly naming them. For instance, listings might use phrases like "AI chat service" or "smart text generation tool" to avoid detection by platform algorithms. Some sellers even offer tutorials on how to bypass censorship and access these models.

The grey market for banned U.S. LLMs in China poses significant legal and regulatory risks. Sellers who facilitate access to these models could face penalties, including fines or the shutdown of their online stores. The Chinese government has shown a willingness to crack down on violations of its censorship policies, particularly when it comes to politically sensitive content.
Using banned LLMs through third-party resellers raises security and privacy concerns. Users must trust these sellers with their data, which may be stored and processed outside China, potentially in jurisdictions with different data protection standards. This could expose users to risks of data breaches or misuse of personal information.
The grey market for banned U.S. LLMs on Taobao reflects a strong consumer demand for high-quality AI services that are not available through local alternatives. Chinese businesses and individuals are willing to pay a premium for access to these models, which offer advanced capabilities in natural language processing, content generation, and other applications.
The availability of U.S. LLMs in China also presents an opportunity for innovation and competition. Local developers can use these models to enhance their products and services, potentially driving advancements in AI research and development. Moreover, the presence of Western models in the Chinese market could spur local tech companies to improve their own AI offerings to remain competitive.
The grey market for banned U.S. LLMs on China’s Taobao underscores the challenges of enforcing censorship in a digital age. While government restrictions aim to limit access to politically sensitive content, the resilience of the black market and high consumer demand have created a thriving ecosystem for resellers. As the Chinese government continues to grapple with these issues, the balance between regulation and innovation will remain a critical area of focus.
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Marcus began tracking AI's market implications in 2016, noticing AI-related patent filings accelerating ahead of earnings upgrades before most of the sell-side had caught on. A former fixed-income quantitative analyst, he spent two decades building models that priced risk across emerging markets before pivoting to cover the economic impact of AI full-time. His writing translates opaque technical developments into clear risk/reward terms — and he's rarely diplomatic about the gap between AI valuations and underlying fundamentals. He believes most market participants still underestimate AI's long-run deflationary effect on knowledge work.
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10 June 2025
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