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SeedRealtime

ByteDance Seed's real-time audio-video full-duplex model.

ByteDance Seed's real-time audio-video full-duplex large model, enabling low-latency multimodal interaction across speech, video, and text.

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newLast verified 2026-08-06

SeedRealtime — full-duplex audio-video model launched

On August 5, 2026, ByteDance Seed released SeedRealtime, a real-time audio-video full-duplex large model. It processes speech, video, and text simultaneously with low latency, enabling natural multimodal interaction. This is China's most significant advance in real-time multimodal AI, directly competing with GPT-4o real-time mode and Gemini Live.

Modality: Audio + video + text, full-duplex
Latency: Real-time, low-latency interaction
Competitor: GPT-4o real-time, Gemini Live
Availability: ByteDance ecosystem + enterprise API

Verify source: ByteDance Seed Research / IT Home →

About SeedRealtime

SeedRealtime is ByteDance's real-time audio-video full-duplex large model, released August 5, 2026 by the Seed research team. It enables natural, low-latency multimodal interaction — processing and generating speech, video, and text simultaneously in real time. The model represents China's most significant advance in real-time multimodal AI interaction, directly competing with GPT-4o's real-time mode and Google's Gemini Live. SeedRealtime is designed for applications requiring natural conversational AI with visual understanding: virtual assistants, customer service avatars, interactive tutoring, and real-time translation with visual context. ByteDance has integrated it into its product ecosystem and made it available via API for enterprise developers.

✅ Pros

+True full-duplex audio-video interaction — simultaneous input and output
+Low latency enables natural conversational AI with visual understanding
+Directly competes with GPT-4o real-time and Gemini Live
+Integrated into ByteDance product ecosystem for immediate scale
+Enterprise API available for custom applications

❌ Cons

−Newly released — limited third-party benchmarks and deployment case studies
−Full-duplex video processing requires significant compute and bandwidth
−ByteDance ecosystem dependency may limit flexibility for some enterprises
−Privacy and data residency considerations for international deployments
−English and multilingual performance not yet independently verified

Key Features

Full-Duplex Multimodal Interaction

SeedRealtime processes audio, video, and text simultaneously in both directions — enabling natural conversation where the AI can see, hear, and respond in real time without turn-taking delays.

Low-Latency Real-Time Pipeline

Designed for sub-second response times, making it suitable for live conversational applications where natural interaction rhythm is critical.

ByteDance Ecosystem Integration

Available across ByteDance products and via Volcano Engine API, providing both consumer scale and enterprise deployment paths.

Pricing Plans

ByteDance EcosystemIncluded in ByteDance products

✓Integrated into Douyin / DouBao ecosystem
✓Consumer-facing real-time interaction
✓No separate API key needed

Enterprise APICustom pricing (via Volcano Engine)

✓Dedicated API access via 火山方舟
✓Custom integration support
✓Volume-based pricing
✓Enterprise SLA

Prices, plan limits, and promotions may change. Verify final pricing on the official site. Last verified: 2026-08-06.

🏆 Our Verdict

SeedRealtime is China's answer to GPT-4o real-time and Gemini Live. For developers building conversational AI that needs to see and hear in real time, it offers a capable full-duplex pipeline with the backing of ByteDance's infrastructure. However, as a newly released model, it lacks the benchmark depth and deployment maturity of its Western competitors. Best suited for teams in the ByteDance ecosystem or those needing a Chinese-market real-time multimodal AI solution.

✅ Best For

Virtual assistants requiring real-time visual understandingCustomer service with AI avatarsInteractive tutoring and education platformsReal-time translation with visual contextEnterprise developers building multimodal conversational AI