What's the typical latency for real-time AI voice agents in production?

Retell AI explicitly targets a human-level latency (~200 ms) and their demos report sub-second response times. Other vendors like Cartesia Sonic emphasize “extremely low latency” for interactive use (gaming, tutoring, conversational agents). Key points to keep in mind: - Typical production targets: ~200 ms (ambitious) to under 1 second (common demo claim). - Real-world latency will vary by provider, network, and how you integrate voice with any LLM or backend — so benchmark providers with your use case.

How do AI voice agents compare to text-based chatbots for customer support?

ElevenLabs' TTS shows voice agents can feel far more natural and expressive than chatbots, making them great for phone-like, high-bandwidth support. Key tradeoffs: Strengths of voice agents Natural, expressive speech and better pronunciation (useful for numbers/dates). Low latency enables interruptible, conversational flows—closer to real human dialogue. Weaknesses of voice agents Session-to-session tone can vary; consistency matters for brand-facing calls. They often require a robust LLM & integration to handle complex dialogs. When to pick text chatbots Easier to centralize, version and update knowledge (so answers stay current) and to measure resolution impact. Choose voice for richer conversational experiences; pick text when you need tight control, easier updates, and clear metrics.

Are AI voice agents suitable for outbound sales calls and appointment scheduling?

Retell AI customers use voice agents for phone tasks like receptionist work, data collection and real‑estate calls—so yes, they can be suitable for outbound sales and appointment scheduling when set up correctly. Key points to consider: Voice quality: Use high-quality TTS (e.g. ElevenLabs) for natural, convincing voices that build trust. Latency & pronunciation: Low latency and accurate handling of numbers/dates (called out by Cartesia Sonic) matter for phone workflows. Limitations: Expect variability in voice tone across sessions and plan for robust LLM/workflow integration and human handoffs. Recommendation: run a small pilot focused on accuracy for names/dates, handoff rules, and real call scripts.

The best AI voice agents in 2026

Framer — Launch websites with enterprise needs at startup speeds.

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Top reviewed AI voice agents

Top reviewed

Among top-reviewed AI voice agents,

ElevenLabs

earns praise for lifelike, low‑latency multilingual TTS, robust cloning, and production‑ready APIs for real‑time agents and dubbing.

Deepgram

stands out for developer-friendly speech pipelines, strong real-time ASR, and cost-effective deployment.

Vapi

focuses on orchestration—tool calling, telephony integration, and rapid setup—appealing to teams building scalable inbound/outbound voicebots with testing and experimentation baked in.

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Frequently asked questions about AI Voice Agents

Real answers from real users, pulled straight from launch discussions, forums, and reviews.

Q: What's the typical latency for real-time AI voice agents in production?
2yr ago
Retell AI explicitly targets a human-level latency (~200 ms) and their demos report sub-second response times. Other vendors like Cartesia Sonic emphasize “extremely low latency” for interactive use (gaming, tutoring, conversational agents).
Key points to keep in mind:
- Typical production targets: ~200 ms (ambitious) to under 1 second (common demo claim).
- Real-world latency will vary by provider, network, and how you integrate voice with any LLM or backend — so benchmark providers with your use case.
Sources:comment on launch comment on launch comment on launch
Q: How do AI voice agents compare to text-based chatbots for customer support?
3mo ago
ElevenLabs' TTS shows voice agents can feel far more natural and expressive than chatbots, making them great for phone-like, high-bandwidth support. Key tradeoffs:
- Strengths of voice agents
  Natural, expressive speech and better pronunciation (useful for numbers/dates).
  Low latency enables interruptible, conversational flows—closer to real human dialogue.
- Weaknesses of voice agents
  Session-to-session tone can vary; consistency matters for brand-facing calls.
  They often require a robust LLM & integration to handle complex dialogs.
- When to pick text chatbots
  Easier to centralize, version and update knowledge (so answers stay current) and to measure resolution impact. Choose voice for richer conversational experiences; pick text when you need tight control, easier updates, and clear metrics.
Sources:review comment on launch comment on launch
Q: Are AI voice agents suitable for outbound sales calls and appointment scheduling?
2yr ago
Retell AI customers use voice agents for phone tasks like receptionist work, data collection and real‑estate calls—so yes, they can be suitable for outbound sales and appointment scheduling when set up correctly.
Key points to consider:
- Voice quality: Use high-quality TTS (e.g. ElevenLabs) for natural, convincing voices that build trust.
- Latency & pronunciation: Low latency and accurate handling of numbers/dates (called out by Cartesia Sonic) matter for phone workflows.
- Limitations: Expect variability in voice tone across sessions and plan for robust LLM/workflow integration and human handoffs.
Recommendation: run a small pilot focused on accuracy for names/dates, handoff rules, and real call scripts.
Sources:comment on launch comment on launch review