Retell AI vs ElevenLabs Conversational AI

Detailed side-by-side comparison to help you choose the right tool

Retell AI

🟡Low Code

Voice AI

Retell AI is an end-to-end platform for building, deploying and monitoring voice AI agents that handle phone calls at production scale.

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Starting Price

$0.07/min
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ElevenLabs Conversational AI

🟡Low Code

Voice AI

ElevenLabs Conversational AI is a voice and chat agent platform for building low-latency customer conversations across 70+ languages.

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Starting Price

Custom
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Feature Comparison

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FeatureRetell AIElevenLabs Conversational AI
CategoryVoice AIVoice AI
Pricing Plans3 listed plans3 listed plans
Starting Price$0.07/minCustom
Key Features
  • • Latency-tuned conversational engine with natural turn-taking and interruption handling
  • • No-code conversation flow editor plus full SDK access
  • • Phone-number provisioning in 50+ countries with bring-your-own carrier
  • • Low-latency voice and chat agents with sub-second responsiveness
  • • Support for 70+ languages and access to 10,000+ voices
  • • Knowledge grounding, procedures, escalation paths, and analytics dashboards

Retell AI - Pros & Cons

Pros

  • ✓Compliance posture (SOC 2 Type II, HIPAA, PCI) is genuinely turnkey for regulated industries.
  • ✓No-code flow editor lets ops teams own the agent without engineering tickets.
  • ✓Latency tuning is audibly better than rolling your own STT-LLM-TTS pipeline.

Cons

  • ✗Per-minute pricing can spike on unbounded outbound campaigns without budget caps.
  • ✗Knowledge base ingestion is simpler than dedicated RAG platforms.
  • ✗Deep customisation still requires the SDK and engineering work.

ElevenLabs Conversational AI - Pros & Cons

Pros

  • ✓Best-in-class brand reputation for synthetic voice quality
  • ✓Broad language support makes it attractive for global support and sales teams
  • ✓Useful ecosystem of business integrations beyond pure speech generation
  • ✓Can be used through a no-code web platform or via APIs and SDKs
  • ✓Good fit for teams that need both voice and chat in one stack

Cons

  • ✗Real production costs are harder to model than simple per-seat SaaS tools
  • ✗Voice-agent deployments still need heavy testing for interruptions, edge cases, and handoffs
  • ✗Compliance, consent, and escalation logic require careful operational setup
  • ✗Some teams may be paying for premium voice quality they do not actually need
  • ✗Not an MCP-native platform for teams standardizing on protocol-first agent stacks

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🔒 Security & Compliance Comparison

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Security FeatureRetell AIElevenLabs Conversational AI
SOC2✅ Yes—
GDPR✅ Yes—
HIPAA✅ Yes—
SSO🏢 Enterprise—
Self-Hosted❌ No—
On-Prem❌ No—
RBAC🏢 Enterprise—
Audit Log🏢 Enterprise—
Open Source❌ No—
API Key Auth✅ Yes—
Encryption at Rest✅ Yes—
Encryption in Transit✅ Yes—
Data Residency——
Data Retentionconfigurable—
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Read the full reviews to make an informed decision

Review Retell AIReview ElevenLabs Conversational AI