EngageRooms, cloud phone, and embeddable widgets
Workload + cost decision model
MediaSFU vs LiveKit
This comparison focuses on production reality: not only RTC media transport, but also agent sessions, telephony minutes, inference, recording/export, widgets, and operational ownership.
Interactive workload model
Model the workload. See the bill and what you can ship.
Start with a real scenario, then use exact minute inputs. Every result names the billing layer being compared so platform, carrier, and AI-provider costs do not get quietly mixed.
What you can buildTurn these minutes into a complete customer-contact workflow:
- Voice agents
- Human handoff
- Campaigns
- Transcripts + notes
- Web call widget
Comparison scopeAgent session infrastructure overage
Compares usage lines after plan allowances; it does not pretend every LiveKit Cloud resource is one per-minute charge.
Estimated infrastructure delta$158.50 lower per month$1,902 per year; 4.8x cost ratio
Add the selected LiveKit plan, included allowances, WebRTC/data transfer, inference, telephony, observability, and egress used by your design.
Make the decision with evidence: test the workflow, inspect the controls, and replace the sample volume with your own procurement assumptions.
Estimates use MediaSFU list rates and the linked LiveKit published pricing available in July 2026. Review LiveKit pricing. Free allowances, negotiated discounts, taxes, carrier routes, AI model choices, storage, and optional services can change the final bill. This is a transparent planning model, not a vendor quote.
What the decision unlocks
Choose MediaSFU when the job is the whole communication workflow.
Use MediaSFU when one launch needs real-time rooms, phone calls, AI agents, translation, recording artifacts, widgets, and SDK control. Keep LiveKit in the shortlist when your team wants to build directly around RTC and agent infrastructure primitives.
One connected operating modelFrom live interaction to usable output.
Launch the experience, run the workflow, retain the artifacts, and extend it with code when needed.
AutomateAI agents, campaigns, and live translation
CaptureRecordings, transcripts, notes, and summaries
ExtendSDKs, APIs, SIP, domains, and webhooks
Published starting rates
$0.10per 1K audio minutes
$0.375per 1K video minutes
$2+per 1K recording minutes
Unified launch plus developer control
Best when the product must be operated by real teams and extended by engineers.
programmable RTC and agent infrastructure
Best when that narrower center of gravity is the main buying reason.
LaunchMeetings, cloud phone, campaigns, widgets, rooms, notes, and recordings are usable without rebuilding the product surface.
ExtendSDKs, API keys, domains, SIP configs, provider keys, and webhooks remain available when engineering needs precision.
AuditCalls and sessions can produce logs, transcripts, AI notes, summaries, recordings, and downloadable artifacts.
Ask before choosing:
- Will non-developers run calls, campaigns, rooms, or notes after setup?
- Do phone, WebRTC, widgets, AI, translation, and recording need to work as one flow?
- Are you comparing total workflow cost instead of one isolated API line item?
When MediaSFU is usually a fit
- You need meetings, voice, telephony, and AI workflows in one platform.
- You want guided deployment with lower integration overhead.
- You want ready widgets, dashboards, cloud phone, and meeting workflows beside SDK control.
When LiveKit is usually a fit
- You are centered on programmable RTC media and agent infrastructure.
- Your team wants to build deeply around LiveKit Agents, inference, and observability.
- You prefer plan allotments and usage rows over MediaSFU's BYO-provider cost separation.
MediaSFU advantage
The stronger comparison is the complete workflow.
Against LiveKit, MediaSFU is most compelling when the buyer needs live media, phone calls, AI workflows, translation, recordings, and usable apps to work together without forcing every team into a developer-only rollout.
Launch from guided apps
Use meeting rooms, Lite Dashboard, cloud phone, AI campaigns, managed numbers, and built-in AI notes/transcripts where the plan includes managed MediaSFU services.
Keep provider and SDK control
Bring SIP providers, AI keys, widgets, domains, API keys, webhooks, and SDK integrations while still relying on MediaSFU for the room, media, telephony, and workflow surface.
01
Translated audio, not just captions
Participants can speak naturally while MediaSFU plays translated room audio. A French speaker can be heard in German, and listeners can keep or override their output language.
02
Phone, AI, and human handoff together
Inbound and outbound calling, managed numbers, AI receptionists, callback flows, and human handoff use one operating model instead of a stitched call stack.
03
A complete meeting product surface
SDK-backed meetings can include screen share, messaging, polls, whiteboard, breakout rooms, widgets, recordings, and room controls without starting from bare media primitives.
04
Recordings become review assets
Recording workflows support pause/resume, playback, transcripts, AI notes, summaries, and downloadable artifacts for review, compliance, or customer follow-up.
05
Ready apps plus developer control
Operators can use meetings, cloud phone, AI campaigns, and Lite Dashboard flows. Developers still get APIs, SDKs, webhooks, SIP configs, widgets, and provider-key control.
06
Plain SIP/PSTN stays plain
When calls do not use AI, MediaSFU positions the workload around audio infrastructure plus your carrier/provider path, not an extra WebRTC/SIP bridge billing layer.
Pricing lensAudio, video, and recording rates in readable units
Use these as MediaSFU-side inputs before comparing vendor-specific bundles, add-ons, or carrier charges.
| Workload | Dollars | Cents | 1K minutes | How to read it |
|---|---|---|---|---|
| Audio transport | $0.0001/min | 0.01¢/min | $0.10 per 1K min | Use for audio rooms and plain SIP/PSTN media transport. |
| Video transport | $0.000375/min | 0.0375¢/min | $0.375 per 1K min | Use for video infrastructure comparisons before add-on services. |
| Recording - audio only | $0.002/min | 0.2¢/min | $2 per 1K min | Audio-only recording derived from the recording purchase factors. |
| Recording - video SD | $0.006/min | 0.6¢/min | $6 per 1K min | Baseline SD video recording minute pricing. |
| Recording - video HD/FHD/QHD | $0.012 - $0.024/min | 1.2¢ - 2.4¢/min | $12 - $24 per 1K min | HD, FHD, and QHD video recording scale by recording quality. |
| Category | MediaSFU | LiveKit |
|---|---|---|
| Core platform orientation | Unified meetings, voice, SIP/PSTN, AI agents, and widgets | Programmable RTC infrastructure plus a growing AI voice and video agent platform |
| Agent workflow model | AI-ready infrastructure with provider choice, dashboards, widgets, and call paths | Agent sessions, agent deployment, observability, inference, telephony, and an agent console |
| Telephony pricing lens | Bring supported SIP and AI providers directly; MediaSFU charges infrastructure separately | US local inbound, toll-free inbound, and third-party SIP minute pricing are separate rows |
| No-code and widget surfaces | Embeddable widgets and guided setup paths | Agent Embed Widget and developer-led implementation paths |
| Meetings and team operations | Ready meetings, cloud phone, dashboards, recordings, AI notes, and translation workflows | Strong primitives for product teams building their own realtime app and agent layer |
| Cost analysis lens | Separate low infrastructure rates from provider costs for margin control | Plan allotments plus per-minute agent, inference, telephony, WebRTC, data, and egress rows |
Current pricing snapshot
LiveKit's pricing now exposes separate rows for agent sessions, telephony, inference, WebRTC participants, recording/export, and data transfer. Compare the whole workflow, not one line item.
| Workload | MediaSFU lens | LiveKit published reference |
|---|---|---|
| AI agent session | $0.002 per AI-ready infrastructure minute, provider costs direct where supported | LiveKit lists agent session at $0.0100/min before model, telephony, and observability rows |
| AI voice example total | Model/STT/TTS costs depend on your selected providers and keys | LiveKit calculator shows a $0.0735/min estimated total for one Build/Ship phone-call example |
| Third-party SIP | Bring your SIP path through MediaSFU workflows without platform markup on supported providers | LiveKit lists included SIP minutes, then $0.004/min on Ship and $0.003/min on Scale |
| WebRTC participants | $0.0001 audio and $0.000375 video infrastructure rates | LiveKit lists included WebRTC minutes, then $0.0005/min on Ship and $0.0004/min on Scale |
| Recording and export | Audio-only recording at $0.002/min ($2 per 1K); video recording from $0.006/min SD, $0.012/min HD, about $0.018/min FHD, and $0.024/min QHD | LiveKit lists video transcode egress at $0.02/min after included minutes and track egress at $0.001/min |
Assumptions behind the benchmark
| Variable | Benchmark baseline | Why it matters |
|---|---|---|
| Traffic profile | Recurring production sessions across voice and video paths | Cost outcomes change materially between pilot and production traffic. |
| Feature breadth | Need for telephony, AI agents, and embed workflows | Adding non-RTC services can shift total cost and complexity. |
| Operating model | Unified vendor path versus composed multi-vendor architecture | Operations overhead is often as important as unit pricing. |
| Quality and latency targets | Comparable reliability and response expectations | Tighter quality targets can alter provider and architecture choices. |
Sources and validation links
Validate with current vendor pricing and your own workload profile before final architecture decisions.
Last updated: July 13, 2026