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Voice Agents · Head-to-head

Retell AI vs Vapi

Retell AI and Vapi are both voice agents. Retell AI is Build production-ready AI phone agents with ultra-low latency, while Vapi is developer platform for building, testing, and deploying voice AI agents. Here's an independent, side-by-side look at how they compare — and which fits.

Retell AI

Platform· Paid product

Build production-ready AI phone agents with ultra-low latency.

Visit Retell AI
Vapi

Platform· Paid product

Developer platform for building, testing, and deploying voice AI agents.

Visit Vapi

Bottom line

Retell AI and Vapi are both commercial voice agents. GitHub stars don't measure commercial adoption, so weigh them on pricing model, capabilities, and how you want to buy — not on a star count.

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Side by side

SpecRetell AIVapi
TypePlatformPlatform
ModelCommercialCommercial
PricingPaid productPaid product

Choose Retell AI if

Production AI phone agents with low latency and strong call-handling primitives.

Choose Vapi if

Developers building production voice agents with full API control over models, voices, and telephony.

About Retell AI

Build production-ready AI phone agents with ultra-low latency.

Full Retell AI profile →

About Vapi

Developer platform for building, testing, and deploying voice AI agents.

Full Vapi profile →

Frequently asked

What's the main difference between Retell AI and Vapi?
Both are voice agents built for a similar job; the differences are subtle — compare them on pricing and delivery model in the table above.
Is Retell AI or Vapi better?
Neither is universally better. Retell AI is the stronger fit for Production AI phone agents with low latency and strong call-handling primitives; Vapi for Developers building production voice agents with full API control over models, voices, and telephony. Use the side-by-side specs to decide by your own constraints.
Is Retell AI or Vapi free?
Retell AI is a paid product; Vapi is a paid product.
Which is more popular, Retell AI or Vapi?
We rank open-source projects by GitHub adoption, but at least one of these is a commercial product and stars don't measure commercial adoption — so compare them on capabilities and pricing instead.
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