Realtime-Venus splits real-time dialogue from background work into a dual-loop runtime with two 9B frontends, leading online models on six of eight video benchmarks
The work presents Realtime-Venus, a proactive full-duplex interaction system with two separately trained 9B models, Realtime-Venus-Omni for audio-visual interaction and Realtime-Venus-Audio for spoken interaction, which align continuous perception, conversational control, native speech generation, and private delegation requests on a shared causal timeline while Realtime-Venus-Harness executes background capabilities asynchronously in a dual-loop runtime, achieving the highest scores among compared online models on six of eight video benchmarks and leading or matching on several audio understanding, spoken question answering, and full-duplex overlap metrics.