Domestic large-scale models have topped the global charts for five consecutive weeks.

Domestic large model MiniMax M2.5 has ranked first in global large model call volume for five consecutive weeks. At the company’s headquarters office area, product development personnel showed reporters a clear price difference. “Models overseas with the same capability level may be ten times more expensive than ours.” Cost performance is becoming the core competitive advantage of domestic large models in attracting global users. Where does this cost performance come from? The first key factor is technological innovation. By innovating at the underlying architecture, it fundamentally reduces inference costs. Simply put, it accomplishes the same tasks with fewer tokens. Another key factor is energy advantage. Industry insiders told reporters that currently, electricity costs account for 70% to 80% of computing power costs. For AI clusters that require millions of cards for parallel computing, a small difference in electricity prices can translate into astronomical annual operating costs. Stable energy supply and relatively low electricity prices have built a more competitive cost defense line for China’s AI industry. (CCTV Finance)