TL;DR: LiveKit is the most powerful and flexible option on our list – an open-source, code-first framework that lets engineers wire any speech-to-text, LLM and text-to-speech together over low-latency WebRTC. It is the infrastructure that powers ChatGPT’s Advanced Voice Mode, so its real-time credentials are unmatched; the catch is that it is a developer framework, not a no-code builder, so it demands the most engineering of any platform here. App Score: 7.9/10.
How we scored LiveKit
Weighted against our AI voice agent rubric. Sub-scores out of 10; weight in brackets.
Our independent score, from our own weighted rubric and verified pricing, kept separate from any sponsorship. Our methodology.
| Starting price | Free (Build tier) / $50/mo Ship / $500/mo Scale |
| Model | Infra-metered (agent-session ~$0.01/min) + BYO components |
| Best for | Engineering teams building custom realtime voice apps |
| Standout | Powers ChatGPT voice; open-source, maximum control |
| Free trial | Free Build tier + open-source self-host |
| Type | Open-source, code-first framework |
Key features of LiveKit
- Open-source Agents SDK (Python and Node) with full programmatic control and BYO any STT, LLM or TTS via a large plugin ecosystem.
- WebRTC transport for low latency, plus a semantic turn-detection model, VAD/endpointing, adaptive interruption handling and noise cancellation.
- First-class SIP telephony (Twilio, Telnyx, Plivo and more) for inbound and outbound, or managed LiveKit phone numbers.
- Native function/tool calling, MCP support, job scheduling and a built-in agent test framework.
- Self-host free, or LiveKit Cloud with metered usage; 50+ models via LiveKit Inference with no keys.
- Proven at scale: powers ChatGPT Advanced Voice Mode, Salesforce Agentforce and Tesla; the framework is downloaded 1M+ times a month.
Who LiveKit is best for
LiveKit is for engineering teams building custom, realtime voice applications who want complete control and are comfortable in code. If you are OpenAI, Salesforce or a startup with real engineers, it is the most capable foundation available. If you want to launch an agent without writing code, this is the wrong tool – choose a no-code builder instead.
Pros and cons
Pros
- Most powerful and flexible framework on our list (build power 9.5).
- Unmatched real-time credibility: it powers ChatGPT’s voice mode at massive scale.
- Open-source and self-hostable, with a huge provider plugin ecosystem.
- Well-funded and widely adopted ($100M Series C at a $1B valuation; 1M+ downloads/month).
Cons
- Highest technical bar on our list: it is a code-first framework, not a no-code builder (ease 4.5).
- You assemble and pay for every component (STT, LLM, TTS, telephony) on top of platform metering.
- No meaningful third-party review base yet; GitHub traction is the better proxy.
Verdict
LiveKit is the right foundation for engineering teams that want to build a custom realtime voice agent with total control – it is the most powerful option here and the same infrastructure behind ChatGPT’s voice mode. The price of that power is complexity: it demands real engineering and BYO everything. For no-code teams it is the wrong fit, but for builders it is best in class. See where it lands in our best AI voice agents guide.
Related guides
Compare more in our cluster: AI Voice Agent Pricing and Best No-Code AI Voice Agent Builders.
Frequently Asked Questions
What is LiveKit used for?
LiveKit is an open-source, code-first framework for building realtime voice (and video) AI agents. Engineers use it to wire any speech-to-text, LLM and text-to-speech together over low-latency WebRTC. It is the infrastructure that powers ChatGPT’s Advanced Voice Mode.
Is LiveKit free?
LiveKit is open-source and free to self-host (you bring your own STT, LLM, TTS and telephony costs). LiveKit Cloud has a free Build tier, then Ship at $50/mo and Scale at $500/mo, metered on agent-session minutes, WebRTC minutes and bandwidth.
Is LiveKit no-code?
No. LiveKit is a developer framework with Python and Node SDKs and the highest technical bar on our list. There is an in-browser Agent Builder for prototyping, but the core product is code. Non-technical teams should choose a no-code platform like Synthflow.
Does LiveKit power ChatGPT voice?
Yes. OpenAI built ChatGPT’s Advanced Voice Mode on LiveKit Cloud, and LiveKit also powers realtime voice for Salesforce Agentforce and Tesla, which is the strongest real-time scale credential in the category.
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