The MiMo-V2.5 series now features full-pipeline inference optimization to reduce latency. This update targets specific bottlenecks in the model's execution flow to improve throughput. Developers can expect faster response times during deployment. The improvement is incremental, refining existing performance rather than introducing new architectural capabilities to the vision-language framework.