[News] AI Compute Prices Rise Across China: Tencent Joins Alibaba, Baidu in Hikes; Zhipu Raises Prices Again

Rising AI compute demand is driving a new wave of price increases, signaling that computing power is becoming an increasingly scarce resource in the AI era. According to Jiemian News, following Alibaba Cloud and Baidu Cloud, Tencent Cloud has also joined the ranks of providers raising AI compute prices.

As the report notes, on April 9, Tencent Cloud announced price adjustments for its AI compute, container services, and EMR-related products, with prices set to rise by around 5%. The company said it will adjust the list prices of its AI compute services, Tencent Kubernetes Engine (TKE), and Elastic MapReduce (EMR) products starting May 9, 2026.

Earlier, Alibaba Cloud and Baidu Cloud took more aggressive pricing actions. As the report indicates, on March 18, Alibaba Cloud announced price adjustments for AI compute and related products on its website, stating that it will revise prices starting April 18, 2026. Among them, compute card products such as the T-head Zhenwu 810E saw price increases ranging from 5% to 34%, while the CPFS (AI computing edition) file storage service rose by 30%.

Baidu’s adjustments cover a range of products and services, including AI compute offerings, which will see price increases of about 5% to 30%. The price adjustments will take effect from 00:00 (Beijing time) on April 18, 2026, the report adds.

Beyond the three major players, other Chinese firms are also moving to raise AI compute prices. According to Gurufocus, Zhipu has increased pricing for access to its most advanced AI models by at least 8%, coinciding with the launch of its latest open-source system, GLM-5.1. The company has implemented multiple price hikes this year, including a 30% increase for its coding plan in February, pointing to a broader shift across China’s AI sector toward prioritizing revenue generation after years of heavy investment.

AI Compute Price Hikes Reflect Supply Constraints and Industry Shift

The trend of rising compute prices is not limited to Chinese companies. According to Jiemian News, Amazon AWS broke a nearly 20-year precedent on January 22 by raising prices for EC2 instances used for large-model training by 15%. Five days later, Google Cloud went further, increasing prices for AI computing infrastructure and related services by as much as 100%, marking a particularly sharp adjustment.

As Jiemian News indicates, the current price hikes are driven by both supply-demand imbalances and industry transformation. Explosive growth in AI is fueling compute demand, while limited high-end GPU capacity and suppliers prioritizing large, stable orders are tightening supply.

For leading tech firms, scale and in-house compute capacity provide cost buffers. In contrast, mid-sized companies face trade-offs, with rising compute costs forcing cuts in non-core R&D. Startups and smaller firms are finding it increasingly difficult to enter the AI market, while projects that rely on low-cost compute may be delayed or even halted, potentially accelerating industry consolidation, as Jiemian News notes.

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(Photo credit: Tencent on LinkedIn)