Home
China's AI Models Overtake US in Weekly Usage; Mysterious Unicorn Hunter Alpha Tops Charts

As the AI computing power race enters its second half, Chinese large language models are achieving remarkable application penetration rates and overtaking their US counterparts. According to the latest data from OpenRouter , the weekly usage of Chinese AI models set a new record in the week of March 9-15, surpassing US models for the second consecutive week on major international platforms, demonstrating strong momentum.
Data indicates that the weekly token consumption of Chinese AI models soared to 46.9 trillion Tokens, an 11.83% increase over the previous week. In contrast, US models saw a 9.33% decline, falling to 32.94 trillion Tokens. Chinese models now dominate the global top three rankings:
MiniMax M2.5 held the top spot for the fifth straight week, with 17.5 trillion tokens consumed.
Stephen Star Step3.5Flash entered the top three for the first time, thanks to its fast response and free pricing model, capturing second place with a 79% weekly usage surge.
DeepSeek V3.2 ranked third with 10.4 trillion tokens.
In this computing power frenzy, a mysterious newcomer called Hunter Alpha stood out. Launched on March 11, it quickly climbed to seventh place globally with 6.66 trillion tokens.
According to platform data from OpenRouter , Hunter Alpha is a trillion-parameter model built for intelligent agent applications, with an ultra-long context window of 1 million tokens. It excels in long-term planning, complex reasoning, and multi-step tasks, demonstrating high reliability and instruction-following accuracy when paired with frameworks like OpenClaw .
From MiniMax's sustained dominance to Stephen Star's rapid rise, and then to the surprising emergence of the mysterious Hunter Alpha
Related article
DeepMind CEO Hassabis: I sleep six hours a day, usually feel energetic around 1 a.m.
Fortune recently featured an interview with Demis Hassabis, CEO of Google DeepMind, revealing his unconventional approach to rest and productivity. Hassabis disclosed that he sleeps very little, structuring his waking hours into two distinct work blo
OpenAI, Anthropic Vie for Market Share Despite Revenue Shortfalls
Despite recent reports suggesting OpenAI missed revenue targets, creating pressure on tech stocks this Tuesday, private AI lab investors remain resilient. Seasoned backers have confirmed they will not reduce investment despite negative media coverage
California AV Compliance: A New Era of Tickets, Geofences, and 1M Miles
Guident operates an AuveTech shuttle in South Florida, managing a four-mile route in West Palm Beach and a one-mile route in Boca Raton using its remote monitoring technology. | Credit: GuidentCalifornia is redefining the regulatory landscape for dri
Related Special Topic Recommendations
Comments (0)
0/500

As the AI computing power race enters its second half, Chinese large language models are achieving remarkable application penetration rates and overtaking their US counterparts. According to the latest data from
Data indicates that the weekly token consumption of Chinese AI models soared to 46.9 trillion Tokens, an 11.83% increase over the previous week. In contrast, US models saw a 9.33% decline, falling to 32.94 trillion Tokens. Chinese models now dominate the global top three rankings:
MiniMax M2.5 held the top spot for the fifth straight week, with 17.5 trillion tokens consumed.
Stephen Star Step3.5Flash entered the top three for the first time, thanks to its fast response and free pricing model, capturing second place with a 79% weekly usage surge.
DeepSeek V3.2 ranked third with 10.4 trillion tokens.
In this computing power frenzy, a mysterious newcomer called Hunter Alpha stood out. Launched on March 11, it quickly climbed to seventh place globally with 6.66 trillion tokens.
According to platform data from
From MiniMax's sustained dominance to Stephen Star's rapid rise, and then to the surprising emergence of the mysterious
DeepMind CEO Hassabis: I sleep six hours a day, usually feel energetic around 1 a.m.
Fortune recently featured an interview with Demis Hassabis, CEO of Google DeepMind, revealing his unconventional approach to rest and productivity. Hassabis disclosed that he sleeps very little, structuring his waking hours into two distinct work blo
OpenAI, Anthropic Vie for Market Share Despite Revenue Shortfalls
Despite recent reports suggesting OpenAI missed revenue targets, creating pressure on tech stocks this Tuesday, private AI lab investors remain resilient. Seasoned backers have confirmed they will not reduce investment despite negative media coverage











