Vapi vs ElevenLabs Conversational AI

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

Vapi

🔴Developer

Voice AI

Vapi is the developer platform for voice AI agents — build, deploy, and scale phone agents with usage-based pricing and bring-your-own model keys.

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Starting Price

$0.05/minute + provider costs
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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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FeatureVapiElevenLabs Conversational AI
CategoryVoice AIVoice AI
Pricing Plans185 tiers6 tiers
Starting Price$0.05/minute + provider costs
Key Features
  • • Build and deploy phone and conversational voice agents
  • • Real-time monitoring and enterprise-grade configurability
  • • Support for customer support, lead qualification, and appointment scheduling

    Vapi - Pros & Cons

    Pros

    • ✓Transparent usage pricing — $0.05/min plus BYO model keys is easy to forecast
    • ✓Sub-700ms turn-taking feels conversational, not robotic
    • ✓Provider-agnostic stack lets you pick best-of-breed STT, LLM, and TTS
    • ✓Developer surface is solid: SDKs, webhooks, custom function calls
    • ✓HIPAA and PCI options unlock healthcare and fintech use cases

    Cons

    • ✗Not a no-code product; non-developers will need engineering support
    • ✗HIPAA at $2k/mo and ZDR at $1k/mo add up quickly for small teams
    • ✗10 concurrent lines is fine for most pilots but extra lines at $10/mo scale fast
    • ✗Model costs pass through, so a chatty agent on GPT-4 can be expensive
    • ✗Documentation around advanced routing and warm transfers is still maturing

    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 FeatureVapiElevenLabs Conversational AI
    SOC2✅ Yes—
    GDPR✅ Yes—
    HIPAA✅ Yes—
    SSO🏢 Enterprise—
    Self-Hosted❌ No—
    On-Prem❌ No—
    RBAC🏢 Enterprise—
    Audit Log✅ Yes—
    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 VapiReview ElevenLabs Conversational AI