Unverified60% confidenceFactTime unknown
After 2023, end-to-end voice models represented by the OpenAI Realtime API began to emerge, compressing latency from several seconds to under 300 milliseconds.
2
Sources
60%
Confidence
Long-term
Relevance
5/31/2026
First Seen
Sources
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Related Claims
UnverifiedA streaming pipeline can compress end-to-end latency for voice AI to under 500 milliseconds, whereas the total latency of traditional batch processing can be as high as 3–5 seconds.73% similarVerifiedThe total chain latency of traditional voice interaction is typically 3–8 seconds, whereas real-time media streaming can compress end-to-end latency to the hundreds-of-milliseconds level.71% similarUnverified中心化API（如OpenAI）的首Token延迟（TTFT）通常在200-500毫秒之间71% similarUnverifiedEnd-to-end models have reduced average latency in speech translation from the 2–3 seconds of traditional pipelines to approximately 300 milliseconds.69% similarUnverifiedThe OpenAI Agents SDK's MCPServerStreamableHttp defaults to a 5-second tool call timeout (client_session_timeout_seconds=5).68% similar
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