The OmniVChat paper introduces OmniVChat-Studio, a multi-agent data engine for synthesizing audio-visual dialogues, and OmniVChat-Bench, an evaluation benchmark for omni models. The paper also presents OmniVChat-RL, a reinforcement learning reward design for improving omni model performance.