Vapi - Voice AI Agent Platform

Q: What is Vapi's pricing model?

Vapi charges $0.05/min platform fee plus pass-through costs for telephony, voice synthesis, LLMs, and transcription. (Note: Additional costs for services like Twilio, ElevenLabs voices, etc., apply.)

Q: Can Vapi handle multilingual conversations?

Yes, it supports 100+ languages including English, Spanish, and Mandarin through configurable providers.

Q: How does Vapi ensure low-latency responses?

Optimized audio transport via private network backbone and Kubernetes scaling for real-time streaming, typically achieving sub-500ms round-trip latency.

Q: Does Vapi provide conversation analytics?

Yes, dashboards track call volume, handling time, completion rates, and user sentiment for optimization, and it also allows for monitoring dropout points and fallback triggers.

Vapi is an API-native platform enabling developers to create human-like voice AI agents for natural conversations, inbound/outbound calls, and system integrations.

Natural Conversations
No-Code Flow Studio
Seamless Telephony
BYO AI Models

💰Ad-Hoc Infra(Pay as you go)/Agency($400/month)/Startup($800/month)/Enterprise(Custom)

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What is Vapi?

Vapi is a developer platform for building and deploying conversational voice AI agents capable of handling natural, low-latency dialogues. It empowers developers and startup CTOs to automate complex call workflows through seamless telephony integration. The platform's core strength lies in its API-native architecture, which supports "Bring Your Own" (BYO) models for transcription, LLMs, and voice synthesis, giving technical teams complete control over their entire AI stack for fully customized solutions.

Key Features & Benefits

Natural Conversations

Agents handle fluid dialogues with low-latency responses, maintaining context during interruptions or topic shifts for human-like interactions.

No-Code Flow Studio

Drag-and-drop editor for designing conversation logic without coding, visualizing dialogue paths and decision branches.

Seamless Telephony

Manage inbound/outbound calls via existing numbers or new provisioning, integrating with carriers like Twilio/Vonage.

BYO AI Models

Plug in custom API keys for transcription (Deepgram), LLMs (GPT/Gemini), and voices (ElevenLabs), or self-host components.

Use Cases

Build a Personal Voice Assistant

Create a Python-based AI assistant that uses Vapi for real-time voice.

"In this video we build a full personal AI voice assistant in Python."

Automate Property Management Calls

ScaleConvo uses Vapi agents to resolve tenant requests during live calls.

"Vapi does the legwork of immediately parsing unstructured conversations, turning it into action asynchronously, while still on a voice call."

Salon Appointment Setter Bot

Deploy a voice agent that books appointments and answers FAQs for salons.

"Mary, our AI assistant, answers calls and even books an appointment in real time!"

Cold-Call Lead Qualification

Reddit maker built a Vapi voice agent to qualify leads and log data.

"It calls real phone numbers, talks like a human using Vapi + OpenAI, qualifies leads."

Pros & Cons

API lets devs spin up voice bots in minutes with simple prompts.
Handles 44M+ calls with <500 ms latency and rock-solid uptime.

Latency still 1–2 s, above the 700 ms phone standard.
Users report slow or absent human support responses.

FAQs

What is Vapi's pricing model?

Vapi charges $0.05/min platform fee plus pass-through costs for telephony, voice synthesis, LLMs, and transcription. (Note: Additional costs for services like Twilio, ElevenLabs voices, etc., apply.)

Can Vapi handle multilingual conversations?

Yes, it supports 100+ languages including English, Spanish, and Mandarin through configurable providers.

How does Vapi ensure low-latency responses?

Optimized audio transport via private network backbone and Kubernetes scaling for real-time streaming, typically achieving sub-500ms round-trip latency.

Does Vapi provide conversation analytics?