Domestic large models are waging a "dimensional strike" in the global computing power market with extreme cost-effectiveness.
According to the latest report, the domestic large model MiniMax M2.5 has remained the top in global large model usage for five consecutive weeks. This achievement not only sets a new record for the activity of domestic models on the international stage but also reveals China's core competitive advantage in the global AI industry: the price of domestic models is dozens of times lower than that of overseas competitors at the same level of capability.
This cost-effective advantage, which makes competitors feel embarrassed, mainly comes from two strategic moats:
Low-level architectural innovation: making Tokens more "valuable"
MiniMax developers pointed out that through fundamental innovation in the underlying architecture, the cost of model inference has been significantly reduced. Simply put, due to improved algorithm efficiency, the model can complete the same complex tasks with fewer Token consumption, directly diluting the user's computing costs at the technical level.
Energy and infrastructure advantages: building a computing power defense line
Aside from optimizations on the technology side, China's energy advantage in computing power infrastructure should not be overlooked. Industry data shows that electricity costs account for 70% to 80% of computing costs. For AI clusters with millions of graphics cards running in parallel, China's stable energy supply and relatively low industrial electricity prices provide a highly competitive "cost firewall" for the AI industry.
From "computing power consumption" to "intellectual output," domestic large models represented by MiniMax are rapidly capturing global market share through the dual pressure of technological iteration and cost control. When the AI competition enters its second half, this "high intelligence, low price" model may completely rewrite the rules of global large model commercialization.
