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GPT-Live uses turnless speech model for continuous low-latency voice AI

OpenAI's GPT-Live reduces voice AI latency to approximately 300 milliseconds, enabling continuous, turnless conversations that feel natural and breaking the rigid question-answer pattern of current systems. The model allows engineers to build seamless voice interfaces for customer service, gaming, or accessibility without forcing users to pause between turns, though it requires sub-100ms network hops and GPU colocation near users to meet the latency budget.

read1 min views1 publishedAug 4, 2026
GPT-Live uses turnless speech model for continuous low-latency voice AI
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OpenAI

GPT-Live uses turnless speech model for continuous low-latency voice AI

Which summary reads better? Pick one — models revealed after.Both summaries are AI-generated.

GPT-Live reduces voice AI latency to near realtime, enabling continuous turnless conversations that feel natural. This breaks the rigid question-answer pattern of current systems, letting engineers build seamless voice interfaces for customer service, gaming, or accessibility without forcing users to between turns.

GPT-Live cuts end-to-end voice latency to ~300ms, making real-time back-and-forth feel human. This lets you ship voice agents that don’t frustrate users with s, but it demands sub-100ms network hops and GPU colo near users to hit the latency budget.

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