A well-built real-time AI voice agent answers within a natural conversational gap. Here are the real numbers and where the milliseconds go.
A well-engineered real-time AI voice agent responds within the natural gap of human conversation, typically end-to-end response times under a second from the moment a caller stops speaking. Our Toniq accent-processing pipeline runs at roughly 350ms, and a full voice agent adds speech-to-text, model reasoning, and text-to-speech on top of that. The way you keep it natural is streaming: transcribe as the caller talks, start generating the reply before they finish, and stream synthesized audio out in chunks rather than waiting for the whole sentence. Anything above roughly 1.2 seconds of dead air feels broken to callers, so we budget latency per stage and measure it against real phone audio, not lab conditions.
Latency is a budget, not a single number. Telephony transport, speech-to-text, model inference, and text-to-speech each spend time; streaming overlaps them so the caller hears a reply forming instead of waiting for the full pipeline to finish.
We tune against real recorded calls with real network conditions, because a demo on a fast office connection tells you nothing about how the agent feels on a 4G call from a moving vehicle.
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