LiveKit Agents vs OpenAI Realtime API
LiveKit Agents vs OpenAI Realtime API: side-by-side comparison of two voice agent platforms systems — architecture, taxonomy, license, pricing, MCP/A2A support, and direct edges.
How they relate
- LiveKit Agents integrates with OpenAI Realtime API — LiveKit Agents docs have a OpenAI Realtime API model plugin page.
Cost & capability
| LiveKit Agents | OpenAI Realtime API | |
|---|---|---|
| Capability band | competent | frontier |
| Capability composite | 60 | 78 |
| Cost tier | premium | premium |
| $/Mtok input | — | 40 |
| $/Mtok output | — | 80 |
| Use cases | Latency Sensitive, Scoped Agentic | Latency Sensitive, Scoped Agentic |
Where they differ (15)
Rows where both sides have data and the values disagree — the shortlist of dimensions that actually distinguish these two systems.
| LiveKit Agents | OpenAI Realtime API | |
|---|---|---|
| Capability band | competent | frontier |
| Capability composite | 60 | 78 |
| Type | Voice-agent framework on LiveKit WebRTC platform | Speech-to-speech LLM API (OpenAI Realtime) |
| Created | 2024 (Agents repo open-sourced) | 2024-10 |
| GitHub | livekit/agents — ~13k stars, last commit 2026-08+ | openai/openai-realtime-agents — ~6.9k stars (MIT reference app on Agents SDK), last commit n/a; API itself closed source |
| Pricing | OSS free; LiveKit Cloud tiered ($50/mo+ + usage) | Audio token-based: $40/$80 per 1M input/output audio tokens (Oct-2024 launch) |
| Funding | $45M Series B Sep-2024 (Altimeter; $300M val) | OpenAI parent — $40B round Mar-2025 ($300B val) |
| Backend storage | Caller-managed; LiveKit handles WebRTC session state | Stateless session API; caller manages durability |
| Deployment | Both (self-hosted + managed cloud) — OSS framework self-host + LiveKit Cloud | API (Cloud); no self-host |
| API surface | Python + Node SDKs; WebRTC transport; tools / function-calling | WebSocket + WebRTC + REST |
| Multi-tenancy | Multi-tenant Cloud; per-room namespacing | API multi-tenant |
| MCP | yes — native MCP support (agents can use MCP server tools) | searched not found |
| OpenTelemetry | OpenTelemetry export in 2025 release | searched not found |
| Optimised for | Real-time voice + video agents over WebRTC at scale | Native speech-to-speech with GPT-4o; lowest-latency LLM voice tier |
| Anti-fit | WebRTC-centric; if you want telephony-first, Vapi/Retell often easier | Stateless platform — caller builds orchestration, memory, telephony adapter |
At a glance
| LiveKit Agents | OpenAI Realtime API | |
|---|---|---|
| Section | Voice agent platforms | Voice agent platforms |
| Tier | T1 | T1 |
| Type | Voice-agent framework on LiveKit WebRTC platform | Speech-to-speech LLM API (OpenAI Realtime) |
| Created | 2024 (Agents repo open-sourced) | 2024-10 |
| Latest release | v1.7.1 (2026-08-27) — livekit-agents (Python) | — |
| License | Apache-2.0 (framework); turn-detector models under LiveKit Model License | — |
| GitHub | livekit/agents — ~13k stars, last commit 2026-08+ | openai/openai-realtime-agents — ~6.9k stars (MIT reference app on Agents SDK), last commit n/a; API itself closed source |
| Pricing | OSS free; LiveKit Cloud tiered ($50/mo+ + usage) | Audio token-based: $40/$80 per 1M input/output audio tokens (Oct-2024 launch) |
| Funding | $45M Series B Sep-2024 (Altimeter; $300M val) | OpenAI parent — $40B round Mar-2025 ($300B val) |
| Backend storage | Caller-managed; LiveKit handles WebRTC session state | Stateless session API; caller manages durability |
| Deployment | Both (self-hosted + managed cloud) — OSS framework self-host + LiveKit Cloud | API (Cloud); no self-host |
| API surface | Python + Node SDKs; WebRTC transport; tools / function-calling | WebSocket + WebRTC + REST |
| Multi-tenancy | Multi-tenant Cloud; per-room namespacing | API multi-tenant |
| MCP | yes — native MCP support (agents can use MCP server tools) | searched not found |
| A2A | searched not found | searched not found |
| OpenTelemetry | OpenTelemetry export in 2025 release | searched not found |
| Optimised for | Real-time voice + video agents over WebRTC at scale | Native speech-to-speech with GPT-4o; lowest-latency LLM voice tier |
| Anti-fit | WebRTC-centric; if you want telephony-first, Vapi/Retell often easier | Stateless platform — caller builds orchestration, memory, telephony adapter |
Pros & cons
LiveKit Agents
Pros: Chosen by OpenAI for Realtime WebRTC backbone; OSS Apache 2.0; SOC 2 + HIPAA; scales to billions of minutes.
Cons: WebRTC-first (telephony via Twilio adapter); framework not turnkey SaaS for non-engineers.
OpenAI Realtime API
Pros: Native speech-to-speech (skips STT/TTS); OpenAI brand + price/perf; WebRTC support.
Cons: Audio token pricing is expensive at scale; stateless (caller builds memory/orchestration); OpenAI-only model choice.