{"id":5468,"date":"2026-04-17T12:32:16","date_gmt":"2026-04-17T12:32:16","guid":{"rendered":"https:\/\/youarepakistan.com.pk\/?p=5468"},"modified":"2026-04-17T12:32:16","modified_gmt":"2026-04-17T12:32:16","slug":"chinese-large-ai-models-gain-widespread-global-use","status":"publish","type":"post","link":"https:\/\/youarepakistan.com.pk\/index.php\/2026\/04\/17\/chinese-large-ai-models-gain-widespread-global-use\/","title":{"rendered":"Chinese large AI models gain widespread global use"},"content":{"rendered":"

By Wang Yinxin, Li Junqiang, People’s Daily<\/p>\n

At 3 p.m. in New York, an engineer named Mike at a U.S. startup received a new assignment. He turned to an AI assistant powered by a Chinese large model. After entering a few key requirements, a well-structured project plan appeared on his screen within seconds. With the help of this “smart assistant,” a task that once took half a day was completed in under\u00a030 minutes.<\/p>\n

Across global\u00a0markets, a growing number of\u00a0users are turning to Chinese large AI models to boost productivity. Each interaction consumes digital units known as “tokens”\u00a0— the basic\u00a0building blocks AI systems use to process language.\u00a0In general, one Chinese character corresponds to one token, while an English word ranges from one to two tokens, including punctuation.<\/p>\n

Since large models process limited text per session, most AI services charge based on token usage: higher consumption means higher costs.<\/p>\n

In March this year, China’s daily token usage exceeded 140 trillion, a\u00a0thousand-fold\u00a0increase\u00a0over two years. Industry data shows Chinese large AI models now rank among the global leaders in total token consumption.<\/p>\n

Yan Yijun, vice president of Shanghai-based AI foundation model company MiniMax, explained: “Users apply clear\u00a0criteria: first, the model must be intelligent, user-friendly and responsive, and capable of solving\u00a0complex problems; second, pricing must be reasonable and commercially sustainable.”<\/p>\n

Token consumption reflects real-world usage\u00a0— indicating\u00a0how deeply, frequently and extensively large AI models\u00a0integrate into\u00a0applications. “Chinese large AI models enjoy high-frequency use by global users. This is a form of recognition from users around the world,” Yan added.<\/p>\n

For developers, balancing\u00a0higher performance with\u00a0lower cost is no easy task. Improvements in model capability are\u00a0often come with exponential growth in parameters, which increases token consumption. The more tokens used, the higher the operating costs for companies and usage costs for users.<\/p>\n

Yan cited the “MiniMax M2.5” model as a solution: “We use algorithmic innovation to create efficient reasoning paths, reducing token consumption at the source while increasing each token’s value.”<\/p>\n

Priced at $1 per hour, the model outputs 100 tokens per second. Estimates suggest Chinese models offer comparable performance at one-tenth the cost of U.S. alternatives.<\/p>\n

“The decline in costs reflects\u00a0not only\u00a0technological progress by Chinese AI companies, but also\u00a0China’s strengths in power supply and industrial\u00a0chains,” said Li Zhiqing, a professor at the School of Economics at Fudan University.<\/p>\n

China’s vast range of application scenarios serve as AI testing grounds.\u00a0By December 2025, generative AI users in China had reached 602 million, up 141.7 percent from a year earlier.<\/p>\n

This rapidly expanding user base is accelerating AI’s transition from novelty to everyday tool, extending its use beyond\u00a0internet applications into areas such as office collaboration and industrial design.<\/p>\n

\"\"
Photo shows a big data industrial park in Zhangjiakou, north China’s Hebei province. (Photo\/Chen Xiaodong)<\/figcaption><\/figure>\n

At the same time, growing adoption provides continuous feedback, enhancing models’ ability to handle complex tasks and opening new avenues\u00a0for development.<\/p>\n

“Ultimately, AI development depends on\u00a0electricity,” Li noted. “An AI server consumes five to eight times more power than a traditional server. Training a large model requires hundreds of millions of kilowatt-hours of electricity, while daily operations can exceed 500,000 kilowatt-hours. Power costs are therefore a key factor\u00a0shaping the global distribution\u00a0of computing capacity.”<\/p>\n

Here, China excels. With the world’s largest power supply system, supported by ultra-high-voltage transmission networks and large-scale integration of renewable energy, China has established a stable and cost-effective foundation for computing power.<\/p>\n

\"\"
Students are attending a class on basic AI knowledge at an elementary school in north China’s Tianjin municipality. (Photo\/Liu Dongyue)<\/figcaption><\/figure>\n

Today, abundant and affordable green energy, from wind farms in western deserts to solar installations\u00a0on the Qinghai-Tibet Plateau, is being fed into the grid and efficiently transmitted to eastern computing hubs through independently developed multi-level intelligent dispatch systems.<\/p>\n

“In addition, China’s well-developed AI supply chain further reduces industry costs,” Li said. Strong coordination across sectors\u00a0— including AI chips, servers, computing infrastructure, cross-border networks, edge computing, and international settlement\u00a0— has created a comprehensive full-chain advantage.<\/p>\n

Li offered a comparison: traditionally, one kilowatt-hour of electricity generates one to two times its value in output. But in the case of tokens, the value can increase dozens or even hundreds of times. “China is\u00a0now transforming its\u00a0strengths in energy and manufacturing into digital value for the global market,” he said.<\/p>\n","protected":false},"excerpt":{"rendered":"

By Wang Yinxin, Li Junqiang, People’s Daily At 3 p.m. in New York, an engineer named Mike at a U.S. startup received a new assignment. He turned to an AI assistant powered by a Chinese large model. 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