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China's AI computing power surges as weekly token usage tops 12 trillion; Alibaba, Xiaomi lead global ranks

In the global AI race, China's large models are advancing at an impressive "Chinese speed," driven by exceptional performance and ecosystem advantages.
Latest data from OpenRouter shows that during the week of March 30 to April 5, China's AI large models demonstrated remarkable activity: weekly token usage jumped to 12.96 trillion tokens, a staggering 31.48% increase from the prior week. In comparison, the US saw only 3.03 trillion tokens in the same period, with a mere 0.76% growth. The gap in application scale between the two continues to widen.
Top Six Rankings All Held by China, Led by Alibaba and Xiaomi
In global large model usage rankings, domestic models achieved a clean sweep, occupying the top six positions:
Alibaba's Qwen3.6Plus leads the way: Alibaba 's Qwen3.6Plus (free) topped the global ranking with 4.6 trillion weekly tokens; its preview version Qwen3.6Plus Preview also secured third place.
Xiaomi MiMo performs steadily: Xiaomi Group 's MiMo-V2-Pro firmly holds second place.
First-tier models surge ahead: Domestic models like Step3.5Flash by Jieyu Star, M2.7 by MiniMax, and V3.2 by DeepSeek follow closely, together forming the top tier of global AI models.
Explainer: Why Tokens Are the "Digital Oil" of the AI World
In AI, a Token is the smallest billing unit for measuring a model's reasoning and generation capabilities.
Analogy: One Chinese character equals roughly 0.7 to 1.3 tokens. A 1,000-character article would use about 1,300 tokens.
Commercial significance: As usage surges, AI production capacity is being commercialized, quantified, and traded much like oil.
Industry Insight: High Cost-Effectiveness Creates Pricing Barriers
Zhongtai Securities analysis indicates that domestic AI large models are building a highly competitive "high cost-effectiveness token" pricing barrier by leveraging dual advantages in energy and computing power costs. As demand for AI agents and multimodal applications rises, companies with independent large model capabilities and extensive application scenarios will see significant investment opportunities.
Investment Trends: Capitalizing on Scale and Low Cost
For investors, domestic large model giants listed on the Hong Kong Stock Exchange have performed especially well.
Ecosystem moat: Alibaba , Xiaomi Group , Tencent Holdings , and Baidu Group not only have massive user moats and application entry points but also hold leading advantages in technology and ecosystem integration.
Computing power independence: Pingtouge under Alibaba and Kunlun X under Baidu provide independent semiconductor support, giving them stronger resilience in a computing power-constrained market environment.
Conclusion: From "Following" to "Leading"
Surpassing US usage data for five consecutive weeks proves that China's AI has made a qualitative leap from technological validation to large-scale industrial application. In this token feast, Chinese power has become a key factor in shaping the global AI business order.
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In the global AI race, China's large models are advancing at an impressive "Chinese speed," driven by exceptional performance and ecosystem advantages.
Latest data from
Top Six Rankings All Held by China, Led by Alibaba and Xiaomi
In global large model usage rankings, domestic models achieved a clean sweep, occupying the top six positions:
Alibaba's Qwen3.6Plus leads the way:
Xiaomi MiMo performs steadily:
First-tier models surge ahead: Domestic models like Step3.5Flash by Jieyu Star, M2.7 by MiniMax, and V3.2 by DeepSeek follow closely, together forming the top tier of global AI models.
Explainer: Why Tokens Are the "Digital Oil" of the AI World
In AI, a Token is the smallest billing unit for measuring a model's reasoning and generation capabilities.
Analogy: One Chinese character equals roughly 0.7 to 1.3 tokens. A 1,000-character article would use about 1,300 tokens.
Commercial significance: As usage surges, AI production capacity is being commercialized, quantified, and traded much like oil.
Industry Insight: High Cost-Effectiveness Creates Pricing Barriers
Investment Trends: Capitalizing on Scale and Low Cost
For investors, domestic large model giants listed on the Hong Kong Stock Exchange have performed especially well.
Ecosystem moat:
Computing power independence: Pingtouge under Alibaba and Kunlun X under Baidu provide independent semiconductor support, giving them stronger resilience in a computing power-constrained market environment.
Conclusion: From "Following" to "Leading"
Surpassing US usage data for five consecutive weeks proves that China's AI has made a qualitative leap from technological validation to large-scale industrial application. In this token feast, Chinese power has become a key factor in shaping the global AI business order.
SpaceX IPO Filing Highlights Satellite Internet and AI Expansion Ambitions
In its S-1 registration statement filed ahead of a planned IPO, SpaceX recently unveiled a number of impressive business metrics that highlight its strong footprint in aerospace communications and artificial intelligence:Starlink subscribers surpass
Alibaba Tuhao M890 Debuts with Triple Performance, Ushering in Full-Stack Agent Era for Chip-Cloud-Model-Inference
On May 20, 2026, at the Alibaba Cloud Summit, Alibaba Cloud announced the completion of a full-stack technology system upgrade designed for the Agentic era. The transformation reshaped the entire pipeline—from underlying chips and cloud platform to m
Pentium 4 Revival: 20-Year-Old CPU Runs Meta Llama 3 Large Model
Recently, the YouTube tech channel Fully Buffered carried out an impressive and hardcore experiment: successfully running Meta's latest Llama 3.2 3B large model on the Pentium 4 641 processor, a chip released in 2006.This test forced modern artificia











