The iFLYTEK-Embodied-Omni framework integrates vision, language, and action into a single foundation model. It replaces cascaded pipelines with a unified architecture to reduce prediction errors during long-horizon tasks. This approach streamlines how agents anticipate environment changes. Researchers can now bypass the interface bottlenecks common in separate world-modeling and action-generation systems.