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: $200Retell AI
FreemiumΒ· from $0.07/moLowest 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
YesRetell AI
YesAPI
Hume AI
YesRetell AI
YesPlatforms
Hume AI
apiwebdiscord
Retell AI
βHacker 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, TADARetell AI
LLM-agnostic (OpenAI, Anthropic, Google and others selectable per agent); proprietary turn-taking model and voice pipeline in-houseBest 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 / 10Retell AI
βUse 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.
Editorial score: rule-based, 0β10, from AI-assisted profile inputs (see /methodology) β not a user rating; βββ means unscored. βNot listedβ 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
- β Emotional-expression research depth unmatched in mainstream TTS
- β Speech-to-speech EVI model handles interruptions naturally
- β Open-source TADA model available on Hugging Face
- β Voice design and cloning built into Octave
Pick Retell AI if
- β Sub-second end-to-end latency (~600 ms) with a purpose-built turn-taking model β conversations feel natural rather than walkie-talkie.
- β Batteries-included telephony: bring Twilio/Vonage/Telnyx/Amazon Connect or use Retell-provisioned numbers with SIP trunking.
- β Real function calling for booking, transfers, payments and CRM writes, with pre-built HubSpot, Salesforce, Cal.com, n8n, Zapier and Make integrations.
- β Streaming RAG knowledge base with auto-sync, plus simulation testing and continuous QA β the operational glue most DIY voice stacks skip.