AI voice agents went from demo-ware to production-ready over the last 18 months. They now handle real phone calls — booking appointments, qualifying leads, and resolving support tickets — with sub-second latency and natural turn-taking.

We tested the leading platforms and scored them on capability, ease of use, value, reliability and support. The table above shows the headline numbers; below is how we'd choose between them.

How to choose

• Building a custom voice product? Look at the developer platforms first — they expose the full pipeline (speech-to-text, the model, and text-to-speech) and price per minute.
• Need the most natural voices? Voice quality is still the biggest differentiator for customer-facing use cases.
• Running at scale? Per-minute pricing adds up fast — model the cost at your real call volume, not the headline rate.

What we looked for

1. Latency — anything above ~800ms of round-trip delay breaks the illusion of a real conversation.
2. Interruption handling — good agents stop talking the moment a caller jumps in.
3. Integrations — telephony, calendars and CRMs need to connect without glue code.
4. Reliability — dropped calls and hallucinated details are dealbreakers in production.

See each agent's full breakdown on its profile, and check our methodology for how the scores are calculated.