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ByteDance Introduces SeedRealtime Audio-Visual Full-Duplex LLM

ByteDance unveils SeedRealtime, a native audio-visual full-duplex language model currently live inside the Doubao consumer application.

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Inewgen
10 Aug 2026Source: MarkTechPost2 min read (0 views)
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ByteDance Introduces SeedRealtime Audio-Visual Full-Duplex LLM

Stock photo for illustration only, not from the actual event

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  • ByteDance launches SeedRealtime, a native audio-visual full-duplex LLM.
  • The model is already live inside Doubao, ByteDance's consumer assistant app.
  • No technical reports, parameter counts, or external endpoints have been released yet.
  • Seed published seven usage scenarios, with four serving as load-bearing use cases.

The artificial intelligence landscape shifts once again as ByteDance's Seed team officially introduces SeedRealtime, a native audio-visual full-duplex large language model. This advanced architecture allows the AI to watch through a camera, listen through a microphone, and speak simultaneously within a single unified model.

Currently, SeedRealtime is deployed and operating live inside the Doubao application, which serves as ByteDance's consumer-facing assistant. Despite its active deployment, the company has not published any technical reports, parameter counts, or open weights. Furthermore, no Volcano Engine or BytePlus endpoints are available at this time.

As a result, third-party development teams cannot integrate the model into their own systems just yet. Instead, what developers can deploy immediately is the underlying concept—a validated reference architecture that effectively raises the benchmark for anyone shipping real-time voice and camera products.

software developer office computer interface

Stock photo for illustration only, not from the actual event

ByteDance's decision to deploy SeedRealtime directly within the Doubao app before opening it to external developers highlights a consumer-first validation strategy. Full-duplex architectures handling audio and video simultaneously within one model significantly reduce conversational latency, addressing a core technical hurdle in modern multimodal AI development.

The Seed team has outlined a total of seven operational scenarios for the new model, out of which four are designated as load-bearing use cases that anchor its practical applications in real-world environments.

Source: MarkTechPost

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