ElevenLabs Conversational AI vs Vapi
ElevenLabs Conversational AI vs Vapi: side-by-side comparison of two voice agent platforms systems — architecture, taxonomy, license, pricing, MCP/A2A support, and direct edges.
ElevenLabs Conversational AI · Vapi
Cost & capability
| ElevenLabs Conversational AI | Vapi | |
|---|---|---|
| Capability band | competent | competent |
| Capability composite | 62 | 56 |
| Cost tier | — | mid |
| Use cases | Latency Sensitive, Scoped Agentic | Latency Sensitive, Scoped Agentic |
Where they differ (13)
Rows where both sides have data and the values disagree — the shortlist of dimensions that actually distinguish these two systems.
| ElevenLabs Conversational AI | Vapi | |
|---|---|---|
| Capability composite | 62 | 56 |
| Type | Voice-agent platform from a TTS-first vendor (ElevenLabs) | Developer platform for AI voice agents (programmable telephony) |
| Created | 2024-11 (launch) | 2023 (YC W23) |
| GitHub | github.com/elevenlabs (SDKs only) | github.com/VapiAI (SDKs only) |
| Pricing | Per-minute usage (Conv AI tier); free + Pro + Enterprise | Per-minute usage ($0.05/min base + provider passthrough) |
| Funding | $180M Series C Jan-2025 (a16z + ICONIQ; $3.3B val) | $20M Series A Dec-2024 (Bessemer); $130M val |
| Backend storage | Conversation state in ElevenLabs cloud | Call state in Vapi-managed DB; transcripts retained per config |
| Deployment | Cloud-managed | Cloud-managed; private deployments on Enterprise tier |
| API surface | REST + WebSocket APIs + SDKs (Python, JS, Swift, Android) | REST API; SDKs (Python, JS, React); webhooks |
| Multi-tenancy | Multi-tenant cloud | Multi-tenant cloud; Enterprise dedicated tier |
| MCP | searched not found | Tool-calling supports MCP servers (caller-side) |
| Optimised for | Natural-sounding multilingual voice agents leveraging ElevenLabs TTS | Building phone-call voice agents quickly with composable STT/LLM/TTS |
| Anti-fit | TTS-led — strongest at voice naturalness, less specialised for high-volume telephony routing | Telephony-centric — not for in-app voice UX; per-minute pricing scales fast at high volume |
At a glance
| ElevenLabs Conversational AI | Vapi | |
|---|---|---|
| Section | Voice agent platforms | Voice agent platforms |
| Tier | T1 | T1 |
| Type | Voice-agent platform from a TTS-first vendor (ElevenLabs) | Developer platform for AI voice agents (programmable telephony) |
| Created | 2024-11 (launch) | 2023 (YC W23) |
| GitHub | github.com/elevenlabs (SDKs only) | github.com/VapiAI (SDKs only) |
| Pricing | Per-minute usage (Conv AI tier); free + Pro + Enterprise | Per-minute usage ($0.05/min base + provider passthrough) |
| Funding | $180M Series C Jan-2025 (a16z + ICONIQ; $3.3B val) | $20M Series A Dec-2024 (Bessemer); $130M val |
| Backend storage | Conversation state in ElevenLabs cloud | Call state in Vapi-managed DB; transcripts retained per config |
| Deployment | Cloud-managed | Cloud-managed; private deployments on Enterprise tier |
| API surface | REST + WebSocket APIs + SDKs (Python, JS, Swift, Android) | REST API; SDKs (Python, JS, React); webhooks |
| Multi-tenancy | Multi-tenant cloud | Multi-tenant cloud; Enterprise dedicated tier |
| MCP | searched not found | Tool-calling supports MCP servers (caller-side) |
| A2A | searched not found | searched not found |
| OpenTelemetry | searched not found | searched not found |
| Optimised for | Natural-sounding multilingual voice agents leveraging ElevenLabs TTS | Building phone-call voice agents quickly with composable STT/LLM/TTS |
| Anti-fit | TTS-led — strongest at voice naturalness, less specialised for high-volume telephony routing | Telephony-centric — not for in-app voice UX; per-minute pricing scales fast at high volume |
Taxonomy
| Axis | ElevenLabs Conversational AI | Vapi |
|---|---|---|
| storage | kv | kv |
| retrieval | injection | injection |
| persistence | session | session |
| update | agent-controlled | agent-controlled |
| unit | turn | turn |
| governance | opaque | opaque |
| conflict | stateless | stateless |
Pros & cons
ElevenLabs Conversational AI
Pros: Best-in-class TTS; $3.3B val parent; SOC 2 + HIPAA; multilingual 30+ languages.
Cons: Newer entrant in agent platform (Nov 2024 launch); strongest at TTS, less mature at full orchestration.
Vapi
Pros: Category-leading mindshare; Bessemer-backed; SOC 2 + HIPAA; mature webhooks + SDKs.
Cons: Per-minute economics at scale; provider-passthrough means triple vendor exposure (STT + LLM + TTS).