Xiaomi released MiMo-V2.5-Pro, an open-weight AI model that rivals Anthropic's Claude Opus 4.6 on coding tasks while consuming 40 to 60 percent fewer tokens. The model represents a shift in how Chinese AI companies compete. Rather than chasing raw benchmark scores, providers like Xiaomi and Deepseek now focus on efficiency and endurance. Long autonomous coding sessions on limited resources matter more than peak performance metrics.
MiMo-V2.5-Pro performs nearly identically to Claude Opus on coding benchmarks but does so with substantially lower computational overhead. This efficiency gain holds real value for developers and companies running extended tasks on constrained hardware or tight budgets.
The competition among Chinese open-weight models intensifies. Deepseek previously disrupted the market by delivering strong performance at lower costs. Xiaomi's approach follows the same playbook. Token efficiency becomes the new battleground. Models that can maintain quality output while burning fewer tokens win adoption from price-conscious users and cost-sensitive applications.
This trend reflects the maturing AI market. Early differentiation came from capability leaps. Today's edge comes from doing the same work cheaper and cleaner.