LiveKit
Video platform as a service (VPaaS) software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
Take the quiz to check if LiveKit and its alternatives fit your requirements.
$50 per month
Free Trial unavailable
Free version
Small
Medium
Large
- Information technology and software
- Agriculture, fishing, and forestry
- Media and communications
What is LiveKit
LiveKit is a real-time audio/video platform that provides APIs, SDKs, and infrastructure to build and operate interactive video experiences in web and mobile applications. It is used by product and engineering teams for use cases such as video conferencing, live collaboration, customer support video, and in-app streaming with low-latency requirements. LiveKit is available as a managed cloud service and as self-hosted/open-source components, which can be important for organizations with data residency or deployment control needs. The platform emphasizes developer integration, real-time media routing, and extensibility through client SDKs and server-side integrations.
Developer-first APIs and SDKs
LiveKit provides client SDKs and server APIs intended for embedding real-time audio/video into custom applications rather than using a fixed end-user video product. This approach supports deeper UI/UX control and tighter integration with application logic (authentication, roles, workflows). It also enables teams to build multiple real-time features (calls, rooms, screen share, chat integrations) on a consistent platform. For VPaaS buyers, this can reduce reliance on prepackaged player or webinar tooling when the goal is in-app interactivity.
Cloud or self-hosted deployment
LiveKit offers a managed cloud option and supports self-hosting, which can be relevant for regulated environments or customers with specific network and data residency constraints. Self-hosting can also help teams align with internal observability, security controls, and infrastructure standards. This flexibility is less common among VPaaS offerings that are primarily SaaS-only. It gives engineering teams more options for architecture and cost governance, at the expense of additional operational responsibility when self-hosted.
Low-latency real-time focus
The product is designed around real-time communication patterns (interactive rooms, bi-directional media) rather than primarily on-demand video hosting. This makes it suitable for collaboration and conversational experiences where latency and synchronization matter. It also supports building custom real-time workflows (e.g., moderated sessions, multi-party calls, interactive events) using programmable primitives. For organizations prioritizing interactivity over traditional video CMS features, this focus can be a practical fit.
Requires engineering implementation
LiveKit is primarily a programmable platform, so most deployments require development work to build the user experience, moderation flows, and business logic. Organizations looking for out-of-the-box video marketing, video CMS, or turnkey webinar/event management may need additional products or custom development. Implementation typically includes identity, room management, permissions, and client UI work. This can lengthen time-to-value for non-technical teams compared with more packaged VPaaS solutions.
Operational burden when self-hosted
Running LiveKit in a self-managed environment shifts responsibility for scaling, monitoring, upgrades, and incident response to the customer. Real-time media workloads can be sensitive to network conditions and capacity planning, which increases operational complexity. Teams may need expertise in real-time media infrastructure and observability to maintain consistent quality. For some buyers, the managed cloud option may be preferable, but it reduces the control benefits of self-hosting.
Not a full video CMS suite
LiveKit focuses on real-time communication rather than end-to-end video content management features such as extensive video library management, marketing analytics, or branded video portals. Buyers that need robust on-demand hosting workflows, monetization tooling, or enterprise video governance may need complementary systems. While integrations are possible, they add architectural complexity. This distinction matters when comparing against VPaaS products oriented around video publishing and content operations.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Build | $0 / month | Free tier (no credit card). Includes: agent deployment, agent observability, inference credits, global edge network, 1 free telephony number, session metrics & analytics, community support. (Includes monthly allotment of free agent session minutes.) |
| Ship | Starting at $50 / month | Everything in Build, plus: team collaboration, instant rollback to previous agent deployment, email support. |
| Scale | Starting at $500 / month | Everything in Ship, plus: role-based access, metrics export APIs, region pinning, security reports / HIPAA, inference discounts. |
| Enterprise | Contact sales / Custom pricing | Everything in Scale, plus volume pricing (including inference), shared Slack channel, SSO, support SLA, dedicated onboarding and SLAs. |
Usage-based / metered components (official): Connection & session: Agent session minutes and telephony inbound minutes billed (example estimator shows $0.0100 per agent session minute and $0.0100 per telephony minute). Connection-level and bandwidth metering also apply (blog/doc change noted a connection fee starting at $0.0005/min and downstream bandwidth starting at $0.12/GB; upstream is not metered).
Inference (LLM / STT / TTS): Billed by model type — LLMs by tokens (price per million tokens), STT by duration, TTS by characters. Example from LiveKit inference pricing (selected models):
- GPT-4o (OpenAI/Azure): $2.50 per million input tokens; $1.25 per million cached input tokens; $10.00 per million output tokens.
- GPT-4o mini (OpenAI/Azure): $0.15 per million input tokens; $0.075 cached input; $0.60 output.
- Example TTS/STT: ElevenLabs Eleven Flash v2: $150.00 per million characters (Build/Ship) / $60.00 per million characters (Scale). Deepgram Aura-2 (STT): $30.00 per million characters (Build/Ship) / $27.00 per million characters (Scale).
Notes:
- Most LiveKit Cloud features are metered; plans include monthly quotas/allotments and overage billing. The docs state quotas reset on the first day of each calendar month and unused quota does not roll over.
- Enterprise/Scale plans offer discounted inference/STT/TTS rates and preferred rates for high-volume usage via Enterprise contracts.
(Full, model-level inference pricing and detailed metering rules are published on LiveKit's official pricing and inference pages.)
