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Vapi.ai vs Retell AI AI assistant

The best way to compare Vapi.ai vs Retell AI: audio samples, latency, features, plans, pricing, and more.

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Vapi.ai

Vapi lets developers build, test and deploy voice agents in minutes rather than months.
vs

Retell AI

API for voice AI. Effortlessly integrate human-like Voice AI into your product. | We are building an API that enables your product to provide an intuitive and engaging way for user interaction - through voice.

Features

Vapi.ai Features

Interruption Handling
Emotional Understanding
Language & Multilingual Support
Visual Flow Builder
Function Calling
Multi-Channel Support

Retell AI Features

Interruption Handling
Emotional Understanding
Language & Multilingual Support
Visual Flow Builder
Function Calling
Multi-Channel Support

Features - Conclusion

  • Vapi.ai may experience higher latency issues due to its reliance on connecting external API providers, which can lead to delays as long as three to four seconds, impacting call quality.
  • Retell ai, similar to Vapi, suffers from latency and reliability issues due to not managing the entire model infrastructure, which could be problematic for enterprise-level solutions.
  • However, Vapi.ai and Retellai both struggle with latency and reliability issues due to their reliance on external API providers. This can negatively impact call quality and be problematic for enterprise-level solutions.

Pricing & Plans

Vapi.ai Pricing

Usage based plan

$0 / mins

  • $10 worth of free credits
  • +$0.05 per minute charge upon reaching the limit

Retell AI Pricing

Pay as you go

$0 / minute

  • 10 concurrent calls

Custom based model

$0.11 / minute

  • Custom concurrent calls based on volumes

Pricing & Plans - Conclusion

  • Vapi.ai is better suited for organizations that prioritize flexibility over call quality and consistency, offering the ability to integrate proprietary models but at the expense of built-in functionality and potentially higher costs.
  • Retell ai appeals to those needing quick solutions for projects that are not customer-facing, willing to connect their own language models at a higher cost, and are less concerned about producing guard-railed, high-quality outputs.
  • However, Vapi.ai is ideal for organizations prioritizing flexibility over call quality, while Retell ai is better suited for projects that require quick solutions and are less concerned with high-quality outputs.

Customer Reviews

Deepgram Aura Reviews

4.7 out of 5
Average of 18 ratings from leading review sites.

Vapi.ai is earning accolades for its promising potential and customer-centric approach. Users appreciate its superior technology, especially the variety of models and comprehensive documentation. As Vapi.ai continues to evolve alongside its technology, it's drawing praise for its rapid improvements and responsive customer service, marking it as a frontrunner in its field.

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Deepgram Aura Reviews

4.5 out of 5
Average of 50 ratings from leading review sites.

Retellai is receiving high praise for its capability and efficiency, particularly in the realm of creating human-like assistants. Users appreciate the time and cost savings offered by Retellai's API, emphasizing its value over in-house development efforts. The platform is celebrated for its impressive demos and user-friendly design, with feedback consistently noting that it exceeds expectations. This array of positive reviews underscores Retellai's effectiveness and its potential to significantly enhance digital interactions through its advanced technology.

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Summary

  • Pricing Strategy: Vapi.ai begins with a lower premium of $0.05/minute but can escalate to $0.30/minute, whereas Retellai starts at a higher rate of $0.14/minute, positioning it as the pricier option.
  • Latency and Integration: Both platforms suffer from increased latency due to the use of external APIs, which can degrade call quality and overall reliability.
  • Application Suitability: Vapi.ai is suited for those seeking customizable integration despite potential high costs and complexity, while Retellai favors quick setups for non-customer-facing applications, accepting higher costs for rapid deployment.