Chinese AI developer Zhipu valued at 1280 times annual revenue: bubble or new reality?
The AI market continues to surprise with its volatility and, at times, irrationality. This time, the spotlight is on Chinese language model developer Zhipu, the creator of the GLM-5.2 model. Listed on the Hong Kong Stock Exchange on January 8, 2026, Zhipu became the first publicly traded company among large language model developers. And its valuation has sent shockwaves through analysts.
Multiplier of 1280: Anomaly or New Standard?
Based on my calculations using market data, Zhipu's (Z.ai) market capitalization after the release of GLM-5.2 exceeded $118 billion. Meanwhile, the company's annual revenue for 2025 was only about $107 million, with a net loss of 4.7 billion yuan. This means Zhipu is trading at a multiple of roughly 1280 times annual revenue. For comparison: OpenAI, with $25 billion in revenue and an $852 billion valuation, trades at a multiple of 34, while Anthropic, with $47 billion in revenue and a $965 billion valuation, trades at a multiple of 21.
The gap is enormous. For Zhipu to justify its current market cap even at a multiple of 50, its sales would need to grow to $2.7 billion per year — a 26-fold increase. At a multiple of 20, it would require $6.9 billion, or a 65-fold increase. A similar situation exists for another Chinese developer, MiniMax: a market cap of about $23 billion on $79 million in revenue gives a multiple of 290.
Why Are Chinese AI Companies Valued So Highly?
In my view, the key reason is a structural feature of the market. A significant portion of Chinese developers' revenue goes to third-party inference providers (services that run other companies' AI models on their servers and sell access via APIs), such as OpenRouter, Venice, and BaseTen. Users want to work with these models but are unwilling to send data directly to China due to privacy concerns. Therefore, they turn to intermediaries, who take a lion's share of the revenue.
To reverse this situation, Chinese companies will need to prove they do not store user data and offer lower prices than competitors. Doing so will be extremely difficult due to cultural and social reasons. An alternative scenario is to take equity stakes in American inference providers and enter into agreements for early access to top-tier models in exchange for a share of revenue. Then, money would begin flowing to model developers through providers, albeit on a percentage basis, but as the overall market grows.
My Analysis: Bubble or Investment in the Future?
Clearly, Zhipu's current valuation is a bet on future exponential growth, not a reflection of current financial performance. The market believes in China's dominance in AI but ignores real business metrics. I believe this gap between market cap and revenue is a warning sign. If Zhipu fails to dramatically increase direct sales or change the market structure, a correction is inevitable. For now, we are witnessing a classic example of an "expectations bubble," where faith in technology overshadows the common sense of financial analysis.