First, match the provider to the call job

Compare LiveKit Agents and Retell AI for AI phone agents, Voice AI platforms, then match channels, workflows, and deployment models to your call flow.

Both profiles checked 2026-09-04.

Use the table below to compare each provider’s documented scope.

Before you decide

LiveKit Agents vs Retell AI: buying questions

How should I compare LiveKit Agents and Retell AI pricing?

LiveKit Agents: Tiered monthly Cloud plans with included session/calling allowances and inference credits; Enterprise adds custom volume pricing. Retell AI: Pay-as-you-go per-minute component pricing with optional add-ons; Enterprise uses custom volume pricing and terms. Ask both vendors to quote the same expected workload, required channels, and implementation scope. Include required subscriptions and usage charges before comparing the total; the listed starting prices alone may cover different work.

Can LiveKit Agents and Retell AI use my existing data?

The recorded knowledge and data sources for LiveKit Agents include Not publicly documented. For Retell AI, they include Not publicly documented. Ask each provider to demonstrate access for the exact systems you use, with permissions, freshness, and failure behavior. A source missing from this directory is not proof that a provider cannot support it.

What should I test in a LiveKit Agents vs Retell AI pilot?

Use the same representative calls, approved instructions, and escalation rules in both pilots. How does it handle interruption and uncertainty? Which actions can it complete, and which require approval? What context reaches a human during transfer? Record conversation quality, completed tasks, human handoffs, and total cost in the buyer worksheet. Check these specific cautions before launch: LiveKit Agents: Calculator values are examples, not universal quotes. Team owns logic, data policy, reliability, and contact-center operations. Retell AI: Component rates may not equal complete cost. Confirm concurrency, premium model/voice, transfer, storage, QA, and carrier charges.

Record your requirements and pilot results in the buyer worksheet →

Swipe or scroll the table to see every column.

Features, pricing, and fit
CriterionLiveKit AgentsRetell AI
Provider typeRealtime voice agent framework and infrastructureVoice agent platform
Best fitEngineering teams that want to choose pipeline architecture and pair agent infrastructure with their own application logic.Teams comparing a managed agent builder with both visual flow design and API/SDK control.
Key capabilitiesopen-source framework; WebRTC; SIP; provider plugins; deployment toolinginbound and outbound agents; flow builder; testing; analytics; functions; SIP
Team sizesstartup; mid-market; enterprise; developerstartup; mid-market; enterprise; developer
Call surfacesWebRTC; SIP; phone / PSTN; mobile; webphone / PSTN; API / SDK
Voice stackConfigurable pipeline with native realtime model supportConfigurable STT-LLM-TTS pipeline with custom LLM option
TelephonySIP trunking; carrier integrationmanaged numbers; SIP trunking; bring-your-own telephony
Call controlsNot publicly documentedNot publicly documented
LanguagesNot publicly documentedNot publicly documented
IntegrationsNot publicly documentedNot publicly documented
Knowledge and dataNot publicly documentedNot publicly documented
Pricing modelTiered monthly Cloud plans with included session/calling allowances and inference credits; Enterprise adds custom volume pricing.Pay-as-you-go per-minute component pricing with optional add-ons; Enterprise uses custom volume pricing and terms.
Pricing signalCalculator examples include roughly $0.01 session, $0.01 telephony, $0.0014 LLM, $0.0058 STT, $0.03 TTS, and $0.01 observability; inputs vary.Vendor range $0.07-$0.31/min; infrastructure $0.055, typical TTS $0.015, telephony $0.015, KB $0.005, guardrails $0.005, PII removal $0.01, and QA $0.10 after 100 minutes.
Free plan or trialNot publicly documentedNot publicly documented
What stands outLiveKit documents three pipeline modes—STT-LLM-TTS, speech-to-speech realtime, and half-cascade—alongside Cloud deployment, observability, inference credits, and telephony.Retell documents two agent shapes—node-based flows and single prompts—and pairs them with built-in telephony, knowledge, tools, analytics, and MCP/API access.
ConsiderationsCalculator values are examples, not universal quotes. Team owns logic, data policy, reliability, and contact-center operations.Component rates may not equal complete cost. Confirm concurrency, premium model/voice, transfer, storage, QA, and carrier charges.

LiveKit Agents: fit and scope

Engineering teams that want to choose pipeline architecture and pair agent infrastructure with their own application logic.

LiveKit documents three pipeline modes—STT-LLM-TTS, speech-to-speech realtime, and half-cascade—alongside Cloud deployment, observability, inference credits, and telephony.

Retell AI: fit and scope

Teams comparing a managed agent builder with both visual flow design and API/SDK control.

Retell documents two agent shapes—node-based flows and single prompts—and pairs them with built-in telephony, knowledge, tools, analytics, and MCP/API access.

Verify current pricing, limits, security, and required integrations directly with each provider before purchasing.

Evaluate language support in real calls

Test recognition, speech quality, interruptions, language switching, tool use, and human transfer with your own calls in the required language. Availability can vary by model, plan, and phone route.

DocsBot documents multilingual voice workflows and Japanese support. Verify the exact voice, phone path, and transfer behavior in your pilot. Review DocsBot language information ↗

Other providers’ language claims reflect cited vendor material; confirm Japanese and other required languages directly with each provider.

Listing does not imply endorsement or a performance guarantee. This directory is published by DocsBot. Editorial policy

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