Facebook iconDifference Between VAPI AI vs LIVEKIT Voice AI Platforms
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Difference Between VAPI AI vs LIVEKIT Voice AI Platforms

Written by Kiruthika
Dec 17, 2025
4 Min Read
Difference Between VAPI AI vs LIVEKIT Voice AI Platforms Hero

Selecting the right real-time communication platform is crucial for businesses aiming to enhance customer interactions and operational efficiency. Two essential players in this domain are Vapi AI and LiveKit, each offering unique features tailored to different communication needs. This comprehensive analysis delves into the strengths and limitations of both platforms, providing a detailed comparison to assist businesses in making informed decisions.

What is Vapi AI?

Vapi AI is a developer-centric platform designed to empower businesses with customizable tools for building advanced voice AI agents. It caters to enterprises seeking deep customization and flexibility in their voice applications.

PROSCONS

Enhanced User Experience

Complex Pricing Structure

Advanced Language Processing

Limited Free Concurrency

Strong Developer Support

Restricted Telephony Integration

Robust Customization Options

Lower Uptime Guarantee

Enhanced User Experience

CONS

Complex Pricing Structure

1 of 4

What is LiveKit?

LiveKit is a realtime platform that enables developers to build video, voice, and data capabilities into their applications. Built on WebRTC, it supports a broad range of frontend and backend platforms.

PROSCONS

Scalability and Performance

Technical Expertise Required

Open-Source Flexibility

Self-Hosting Complexity

Low Latency

Limited Built-in Features

Rich Documentation

Complex Setup

Scalability and Performance

CONS

Technical Expertise Required

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Feature Comparison of Vapi AI and LiveKit

FeatureVapi AILiveKit

Latency Optimization

Turbo latency optimizations for real-time responses

Optimized for low latency to ensure real-time communication

Scalability

Scales to over 1 million concurrent calls

Designed to handle massive scale with high resiliency

Customization

Allows integration of preferred models, voices, backends, and platforms

Open-source nature permits extensive customization

Interruptions Management

Handles conversational interruptions seamlessly

Handles conversational interruptions

Codec Support

Not specified

Supports H.264, VP8, VP9 (with SVC), and AV1 (with SVC)

Open-Source

No

Yes

Latency Optimization

Vapi AI

Turbo latency optimizations for real-time responses

LiveKit

Optimized for low latency to ensure real-time communication

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Summary of Features: Why Choose One Over the Other

Vapi AI is ideal for businesses seeking a customizable voice AI platform with advanced latency optimizations and scalability. Its flexibility allows for tailored solutions, making it suitable for organizations with specific voice interaction requirements. However, the need for technical expertise and potential additional costs should be considered.

Vapi vs LiveKit: Which Voice Platform Should You Use?
Technical comparison of call stability, SDKs, and AI integration workflows between Vapi and LiveKit.
Murtuza Kutub
Murtuza Kutub
Co-Founder, F22 Labs

Walk away with actionable insights on AI adoption.

Limited seats available!

Calendar
Saturday, 10 Jan 2026
10PM IST (60 mins)

LiveKit, on the other hand, is well-suited for applications requiring real-time audio and video communication at scale. Its open-source nature and comprehensive codec support offer flexibility and control, benefiting developers aiming to build scalable communication solutions. The requirement for technical expertise and infrastructure management are important considerations.

Plans and Pricing of Vapi AI vs LiveKit

PlanVapi AILiveKit

Base Rate

$0.05 per minute for calls

Free tier available with 100 concurrent participants, 5,000 connection minutes, and 50GB bandwidth 

Additional Costs

Text-to-speech, transcription, and language processing models charged separately 

Paid plans with increased resources and support starting at $50 per month 

Phone Numbers

$2 per month per number

Not specified

Enterprise Options

Custom pricing with higher concurrency, 24/7 support, and volume pricing 

Enterprise plan with custom pricing and additional features 

Base Rate

Vapi AI

$0.05 per minute for calls

LiveKit

Free tier available with 100 concurrent participants, 5,000 connection minutes, and 50GB bandwidth 

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Pricing and Plan Conclusion

Vapi AI offers a straightforward base rate, but businesses should be mindful of additional costs associated with essential features, which can accumulate based on usage. LiveKit provides a free tier suitable for initial development and testing, with scalable paid plans that offer increased resources and support as application demands grow. The choice between the two should consider the specific feature requirements, scalability needs, and budget constraints of the business.

Summary and Recommendation

When choosing between Vapi AI and LiveKit, it's essential to align the platform's capabilities with your organization's specific needs.

  • Vapi AI is tailored for developers aiming to create advanced voice AI applications. Its strengths lie in rapid deployment, extensive customization, and scalability. However, the platform may present a learning curve for those without technical expertise, and additional costs for essential features like text-to-speech and transcription services can accumulate. Therefore, Vapi AI is best suited for organizations with dedicated development resources and specific voice interaction requirements.
  • LiveKit is an open-source platform designed for real-time audio and video communication. It offers scalability, low latency, and comprehensive codec support, making it ideal for applications that require robust real-time communication capabilities. The open-source nature allows for extensive customization, but it also necessitates technical expertise and infrastructure management. LiveKit is appropriate for organizations prepared to handle these aspects and seeking a flexible communication solution.

Customer Reviews of Vapi AI and LiveKit

Customer feedback provides valuable insights into the practical experiences of using these platforms:

  • Vapi AI: Users have praised Vapi AI for its advanced voice recognition capabilities and real-time processing, significantly enhancing user interactions. However, some have found the initial setup process to be complex and time-consuming. Overall, Vapi AI has received a rating of 4.2 out of 5 on G2, with comments highlighting its impressive voice recognition accuracy.
Vapi vs LiveKit: Which Voice Platform Should You Use?
Technical comparison of call stability, SDKs, and AI integration workflows between Vapi and LiveKit.
Murtuza Kutub
Murtuza Kutub
Co-Founder, F22 Labs

Walk away with actionable insights on AI adoption.

Limited seats available!

Calendar
Saturday, 10 Jan 2026
10PM IST (60 mins)

"The voice recognition accuracy is impressive, making our applications more interactive and user-friendly." - John D.

  • LiveKit: As an open-source platform, LiveKit is praised for its flexibility and performance in handling real-time communication. Users value the ability to customize and scale their applications. However, the requirement for technical expertise in implementation and infrastructure management is noted as a potential drawback for some organizations.

In conclusion, both Vapi AI and LiveKit offer robust solutions for real-time communication needs. Your choice should be guided by your organization's technical capabilities, specific requirements, and budget considerations. For advanced voice AI applications with a focus on customization, Vapi AI is a strong candidate. Conversely, for scalable real-time audio and video communication with open-source flexibility, LiveKit presents a compelling option.

Need Expert Help?

Confused about whether Vapi AI or LiveKit is the right fit for your real-time communication project? We work with companies that hire AI developers to design, customise and deploy voice-driven applications at scale. Our team can help you evaluate platforms, integrate advanced voice features such as transcription or latency optimisation, and build production-ready solutions that match your performance and budget goals.

Author-Kiruthika
Kiruthika

I'm an AI/ML engineer passionate about developing cutting-edge solutions. I specialize in machine learning techniques to solve complex problems and drive innovation through data-driven insights.

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