Reports indicate that the MiniMax M2.5 large model has held the crown as the world’s most-used AI model for five straight weeks.
During a product demo, company researchers highlighted the striking price gap: overseas models offering similar capabilities can cost up to ten times more than MiniMax.
This cost-performance advantage has become the core competitiveness of Chinese AI models in attracting global users. Two main factors drive this edge:

- Technological Innovation: By optimizing underlying architectures, MiniMax reduces inference costs—achieving tasks with fewer tokens.
- Energy Advantage: Industry experts note that electricity accounts for 70–80% of computing costs. For AI clusters running millions of GPUs, even small differences in electricity prices translate into massive annual savings. China’s stable energy supply and relatively lower electricity costs provide a strong competitive moat for its AI industry.
In short, MiniMax’s dominance reflects not only technical efficiency but also structural cost advantages, positioning Chinese AI models as global leaders in the era of large-scale inference.
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