LiveKit Agents vs Vapi
Detailed side-by-side comparison to help you choose the right tool
LiveKit Agents
🔴DeveloperVoice AI Tools
LiveKit Agents: Real-time media infrastructure platform with an integrated agent framework for building voice and video AI assistants that can participate in live conversations. Enables developers to build programmable AI agents for WebRTC rooms, SIP telephony, and multimodal applications.
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Starting Price
FreeVapi
🔴DeveloperVoice 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 costsFeature Comparison
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💡 Our Take
Choose LiveKit Agents over Vapi if your team needs open-source agent infrastructure, WebRTC rooms, video, self-hosting options, or deep control over realtime media and frontend state. Choose Vapi if you want a more packaged hosted voice-agent workflow.
LiveKit Agents - Pros & Cons
Pros
- ✓Free Build plan includes 1,000 agent session minutes monthly, 1 free telephony number, agent deployment, observability, inference credits, session metrics, analytics, and access to the global edge network.
- ✓Open-source framework and LiveKit media server can be run locally or self-hosted, which gives teams more deployment control than fully hosted-only voice agent platforms.
- ✓Supports both STT-to-LLM-to-TTS pipelines and realtime speech-to-speech model integrations through documented provider plugins.
- ✓Built on WebRTC with frontend SDKs in multiple languages, making it suitable for web, mobile, video, screen-sharing, and multi-participant real-time experiences rather than phone calls only.
- ✓Native SIP telephony support covers inbound calls, outbound calls, DTMF, and SIP REFER without requiring a separate voice-agent-specific phone stack.
- ✓Cloud pricing exposes concrete usage units for agent sessions, telephony, and inference, which helps teams estimate production costs.
Cons
- ✗Less turnkey than no-code voice agent platforms; teams need to write and operate Python or Node.js agent code.
- ✗The pricing model combines plan fees, agent session minutes, telephony, and inference, so realistic costs require modeling call volume and model choices rather than reading a single flat monthly price.
- ✗Advanced self-hosting still requires real-time infrastructure expertise, including WebRTC operations, media routing, deployment, monitoring, and scaling.
- ✗The free Build plan is useful for development but has limits, including 1,000 free monthly agent session minutes and documented free-plan quota constraints.
- ✗Some enterprise features, including SSO, support SLA, shared Slack channel, custom volume pricing, and private deployment discussions, require contacting sales.
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
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