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Sesame vs Retell AI

SesameRetell AI

Bottom line: Sesame for people curious about the most natural-sounding voice AI available; Retell AI for developers building custom voice agent products.

Lifelike conversational voice AI companions and ambient intelligence, from the team behind viral voices Maya and Miles.

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Build, test, and deploy production-grade AI voice agents that handle inbound and outbound phone calls.

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Votes00
PricingFreePaid
CategoryAudioAudio
Tags
voice-aiconversational-aicompanion
voice-agentcall-automationvoice-ai
Best for
  • People curious about the most natural-sounding voice AI available
  • Users who prefer voice-first, conversational interaction
  • Early adopters comfortable with preview-stage software
  • Developers building custom voice agent products
  • Startups automating support or sales calls
  • Agencies deploying voice agents for clients
Pros
  • Exceptionally natural, human-like voices with breaths, pauses and emotion
  • Voices can be interrupted and respond in real time
  • Free to try via browser and mobile preview
  • Open-source CSM-1B model available for developers under Apache 2.0
  • Backed by an experienced team (Oculus co-founder Brendan Iribe) and major investors
  • Transparent per-minute, pay-as-you-go pricing with no platform fee
  • Full feature access from day one, nothing locked behind higher tiers
  • Strong developer tooling: API, testing/simulation suite, webhooks, functions
  • Wide model and voice choice (GPT, Claude, ElevenLabs, Retell voices)
  • Extensive integration directory including Twilio, CRMs, and calendars
Cons
  • Still an early preview and research product, not a polished mainstream app
  • Access and features are limited and can change without notice
  • Primarily English-focused, with limited multilingual support
  • No public consumer pricing, API or broad third-party integrations yet
  • Eyewear and full product experience are not yet available (targeted 2027)
  • Headline $0.07/min rate is misleading; real costs run $0.13-$0.31/min
  • Costs stack across LLM, TTS, and telephony, making budgeting complex
  • Enterprise plan is expensive, starting around $8,000
  • Steeper learning curve for non-developers building advanced flows
  • No permanent free plan, only $10 in starter credits

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