ByteDance Seed Introduces SeedRealtime: a Native Audio-Visual Full-Duplex LLM That Watches, Listens and Speaks in One Model
ByteDance’s Seed team has introduced SeedRealtime , a native audio-visual full-duplex LLM.

ByteDance’s Seed team has introduced SeedRealtime , a native audio-visual full-duplex LLM. The model fuses audio, video and text in a single unified architecture. It interacts in real time over continuous multimodal streams, rather than one turn at a time. Seed positions it as a step toward omni-modal interaction, and claims three breakthroughs: joint audio-visual understanding, proactive interaction, and natural conversational timing. The architectural target is the cascade: chained ASR, VLM and TTS modules that add latency and lose information between stages. SeedRealtime instead runs perception, understanding, decision-making and expression in parallel inside one end-to-end model. Turn-taking moves inside the model as well, replacing the external voice-activity detector most real-time stacks still depend on.
SeedRealtime is live inside the Doubao app , ByteDance’s consumer assistant. For this specific model, ByteDance has published no technical report, no parameter count, no open weights, and no Volcano Engine or BytePlus endpoint. As a third-party team, you cannot integrate it as of now. What is deployable right now is the idea : a validated reference architecture, and a moved goalpost for anyone shipping real-time voice-plus-camera products.
Seed published seven scenarios. Four are load-bearing.
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Source: MarkTechPost