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Retell AI vs Hume AI

Retell AIHume AI

Bottom line: Retell AI for developers building custom voice agent products; Hume AI for developers building empathic voice agents.

Retell AIRetell AI

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

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Hume AIHume AI

Emotionally intelligent voice AI with an empathic interface and expression measurement, built for developers.

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Votes00
PricingPaidFreemium
CategoryVoice AgentsAudio
Tags
voice-agentcall-automationvoice-ai
voice-aiemotional-aideveloper-platform
Best for
  • Developers building custom voice agent products
  • Startups automating support or sales calls
  • Agencies deploying voice agents for clients
  • Developers building empathic voice agents
  • Product teams needing expressive TTS
  • Customer experience and analytics teams measuring emotion
Pros
  • 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
  • Grounded in peer-reviewed emotion-science research
  • Real-time emotion detection across 48+ categories and 50+ languages
  • Expressive, controllable voice output via Octave TTS
  • Low-cost entry tier plus a genuinely usable free plan
  • Supports external LLMs so you can bring your own model
Cons
  • 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
  • No self-hosted or on-premise option
  • Usage-based pricing can grow quickly at high volume
  • No mobile app or browser extension for end users
  • Focused on developers, so non-technical users need engineering help
  • Emotion measurement is probabilistic, not a guaranteed ground truth

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