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Retell AI

Developer platform for building, testing, and monitoring AI phone agents with published per-minute economics and production QA tooling.

8.3/10
Overall Score
Recommend

Retell AI is a strong voice-agent pick when engineering teams want production phone agents with clear usage pricing and built-in simulation and QA. Published meters and practitioner volume earn Recommend.

Best for

Product and platform teams that want to ship inbound or outbound voice agents with control over models, voices, and telephony without a managed contact-center program.

Not ideal for

Contact centers that want a fully managed enterprise voice outsourcer with white-glove conversation design and no in-house builders.

Co-founded by Bing Wu.

Verdict

Retell AI is a good fit when your voice agent is a product you will keep shipping, not a black-box contact-center outsourcing deal. Public commercial packaging is unusually clear for this category, with pay-as-you-go minutes and an enterprise path when concurrency and compliance tighten. Practitioners like latency and monitoring; teams that want vendor-led conversation design with no builders on staff may still prefer PolyAI-class peers.

Score Breakdown

How Retell AI scores in the categories that matter to its buyers.

Buyer outcomes

Voice quality & latency
8.5
Developer orchestration & APIs
8.4
Production monitoring / QA
8.3
Managed contact-center services
8.0

Company & commercial

Innovation & product leadership
8.4
Project management & communication
8.1
Pricing
8.5
Contract fairness
8.2

Pricing

Retell AI publishes pay-as-you-go voice pricing on retellai.com/pricing. Figures below are USD list signals as of September 2026; fully loaded minutes depend on LLM, TTS, and telephony choices, and Enterprise remains quote-led.

Plan / SKUMeterPrice (USD)What stands out
Pay as you goper minuteAbout $0.07–$0.31Platform + model/voice mix; no annual minimum
Typical fully loaded callper minuteAbout $0.11–$0.31Depends on LLM/TTS/telephony stack
Concurrency beyond 20per concurrent / month$8First 20 concurrent calls included
EnterpriseannualCustom quoteSSO, HIPAA path, dedicated support

The Field at a Glance

How Retell AI compares with other AI voice agents vendors we reviewed, by Overall Score and relative typical engagement cost.

6 7 8 9 Overall Score $ $$ $$$ $$$$ Relative typical engagement cost PolyAI Vapi Bland Retell AI 8.3
Retell AI PolyAI Vapi Bland

Retell AI scores 8.3 in AI voice agents, ahead of PolyAI (7.8), Vapi (7.7), and Bland (6.8). Relative cost lands mid-low on published per-minute meters versus managed enterprise programs.

Compared with …

Use-case matrix

Use caseFitNotes
Custom voice agent developmentStrongCore Retell motion.
Telephony orchestration & monitoringStrongNative platform path.
Published usage economicsStrongClear per-minute cards.
Fully managed contact-center CXMixedPolyAI often fuller service.
Plain STT/TTS API onlyWeakDeepgram/ElevenLabs lane.
Document IDP extractionPoorWrong subcategory.

Who it’s for

Good fit

  • Teams building voice agents as product
  • Platform groups that want model and voice choice
  • Buyers who prefer published usage meters

Poor fit

  • Centers that want only managed CX outsourcing
  • Teams with no engineering to own prompts
  • Buyers shopping for meeting notetakers only

Review Excerpts

Below are excerpts from public reviews. Paid reviews and pay-for-play sites such as Clutch were excluded.

What people like

“We shipped a working inbound agent quickly because telephony wiring and simulation testing were already in the platform.”

Voice AI lead · r/VoiceAI
What people like

“Per-minute economics made it easier to budget a pilot than a six-figure managed suite.”

Voice AI lead · r/VoiceAI
What people don't like

“Retell’s headline platform fee was only the start. Which LLM and voice we picked changed the fully loaded per-minute price.”

Contact center ops · r/VoiceAI
How it's used

“We prototype agents on Retell, pin prompts in git, run simulation suites before launch, and keep human escalation in the existing call center.”

Conversation designer · r/VoiceAI

Methodology

This page is an independent evaluation of Retell AI for buyers comparing options in ai voice agents. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Retell AI did not pay for this review.

What we scored

The headline number is an Overall Score on a 0-10 scale. Eight criteria sit under it in two groups.

  • Buyer outcomes (for ai voice agents)
    • Voice quality & latency
    • Developer orchestration & APIs
    • Production monitoring / QA
    • Managed contact-center services
  • Company & commercial
    • Innovation & product leadership
    • Project management & communication
    • Pricing
    • Contract fairness

Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.

Score Composition

InputWeightWhat it covers
Reviews40%A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites such as Clutch are out of scope.
Product35%Hands-on look at screens and workflows.
Pricing15%Whether the price looks fair for what you get.
Docs & training10%Docs, tutorials, and training material.

How we balanced the evidence

The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the fit pattern described above.

Scope

Retell AI is graded here as ai voice agents. Criteria scores can move as more review volume and product checks are added.

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