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πŸ“– The AI Tool Bible

Hume AI vs Retell AI

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

Tagline
Hume AI
Emotionally intelligent voice AI with expressive TTS, speech-to-speech, and human-feedback evaluation APIs.
Retell AI
Build, test and deploy production-grade AI voice agents for inbound and outbound calls.
Pricing
Hume AI
FreemiumΒ· Free: $0 Β· Starter: $3 Β· Creator: $7 Β· Pro: $70 Β· Scale: $200
Retell AI
FreemiumΒ· from $0.07/mo
Lowest paid tier
Hume AI
$3 Β· Starter
captured 2026-08-11
Retell AI
$0.07-$0.31 / min Β· Pay as you go
captured 2026-10-21
Free trial
Hume AI
Yes
Retell AI
Yes
API
Hume AI
Yes
Retell AI
Yes
Platforms
Hume AI
apiwebdiscord
Retell AI
β€”
Hacker News stories
Hume AI
5
checked 2026-10-13
Retell AI
1
checked 2026-10-20
Earliest Wayback capture
Hume AI
2015-09-05
earliest archived capture of the site, not a launch date
Retell AI
2024-02-21
earliest archived capture of the site, not a launch date
Model used
Hume AI
Octave, EVI, TADA
Retell AI
LLM-agnostic (OpenAI, Anthropic, Google and others selectable per agent); proprietary turn-taking model and voice pipeline in-house
Best for
Hume AI
Pick Hume AI if you're building a conversational voice agent where emotional expressiveness and natural turn-taking matter more than raw voice count.
Retell AI
Product and CX teams building production voice agents for high-volume inbound support or outbound sales β€” especially in healthcare, insurance, financial services and logistics where compliance, low latency and CRM/telephony integrations matter.
Not for
Hume AI
Skip it if you just need cheap bulk TTS narration or require fully open-weight models for on-prem deployment.
Retell AI
Hobbyists prototyping a text-only chatbot, teams that need fully self-hosted or open-source voice stacks, or low-volume use cases where per-minute pricing outweighs the convenience of a managed platform.
Editorial score
Hume AI
8.0 / 10
Retell AI
β€”
Use cases
Hume AI
expressive-ttsvoice-cloningconversational-voice-aispeech-to-speechvoice-agent-evaluation
Retell AI
AI inbound call answeringOutbound lead qualificationAppointment scheduling and remindersCollections and payment dialers24/7 customer support triageIVR replacementHealthcare intake and follow-up callsInsurance claims first-notice-of-lossVoice-enabled RAG knowledge assistantsChat and SMS agents sharing a voice knowledge base
Pros
Hume AI
  • Emotional-expression research depth unmatched in mainstream TTS
  • Speech-to-speech EVI model handles interruptions naturally
  • Open-source TADA model available on Hugging Face
  • Voice design and cloning built into Octave
  • Human Feedback API accelerates voice-model evaluation
Retell AI
  • Sub-second end-to-end latency (~600 ms) with a purpose-built turn-taking model β€” conversations feel natural rather than walkie-talkie.
  • Batteries-included telephony: bring Twilio/Vonage/Telnyx/Amazon Connect or use Retell-provisioned numbers with SIP trunking.
  • Real function calling for booking, transfers, payments and CRM writes, with pre-built HubSpot, Salesforce, Cal.com, n8n, Zapier and Make integrations.
  • Streaming RAG knowledge base with auto-sync, plus simulation testing and continuous QA β€” the operational glue most DIY voice stacks skip.
  • Enterprise compliance out of the box: HIPAA, SOC 2 Type II, GDPR, PII removal and safety guardrails as toggleable add-ons.
  • Genuinely transparent pay-as-you-go pricing with a $10 starter credit, so you can benchmark cost per call before committing.
Cons
Hume AI
  • Flagship Octave and EVI models are closed-source
  • Pricing not published on landing page
  • Narrower focus than general TTS providers like ElevenLabs
Retell AI
  • Per-minute costs stack quickly once you enable QA ($0.10/min), knowledge base, denoising and premium LLMs β€” a 'cheap' agent can land near $0.30+/min.
  • The specific LLMs are pluggable but Retell doesn't publish a default recommendation, so cost/quality tuning is on you.
  • Not open source and there is no self-hosted option β€” regulated buyers who need on-prem inference are out of scope.
  • Voice/telephony focus means it is overkill (and overpriced) for pure text chatbots you could run on a generic LLM API.
  • True enterprise features (unlimited concurrency, custom compliance, dedicated support) require a sales conversation, not a self-serve upgrade.
Website

Editorial score: rule-based, 0–10, from AI-assisted profile inputs (see /methodology) β€” not a user rating; β€œβ€”β€ means unscored. β€œNot listed” means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.

Pick Hume AI if
  • βœ… Emotional-expression research depth unmatched in mainstream TTS
  • βœ… Speech-to-speech EVI model handles interruptions naturally
  • βœ… Open-source TADA model available on Hugging Face
  • βœ… Voice design and cloning built into Octave
Pick Retell AI if
  • βœ… Sub-second end-to-end latency (~600 ms) with a purpose-built turn-taking model β€” conversations feel natural rather than walkie-talkie.
  • βœ… Batteries-included telephony: bring Twilio/Vonage/Telnyx/Amazon Connect or use Retell-provisioned numbers with SIP trunking.
  • βœ… Real function calling for booking, transfers, payments and CRM writes, with pre-built HubSpot, Salesforce, Cal.com, n8n, Zapier and Make integrations.
  • βœ… Streaming RAG knowledge base with auto-sync, plus simulation testing and continuous QA β€” the operational glue most DIY voice stacks skip.