V100 vs LiveKit
Full Platform vs Open-Source SFU
LiveKit is an excellent open-source SFU that routes video in real time. V100 is a full video platform that routes, transcribes, edits, captions, publishes, and encrypts video through a single API. This page breaks down exactly where each tool excels and where it falls short.
The Core Difference
LiveKit and V100 solve different problems at different layers of the stack. LiveKit is a Selective Forwarding Unit: it receives video streams from participants and routes them to other participants with low latency. It does this well, and it does it in open source. But routing video is one piece of a production video product. You still need transcription, recording, editing, captioning, publishing, compliance controls, and encryption. With LiveKit, you assemble those from other vendors or build them yourself. With V100, they ship in a single API built on 20 Rust microservices.
LiveKit is written in Go and backed by $22.5M in Series A funding. It has approximately 10,000 GitHub stars and an active community. V100 is written in Rust, a language that eliminates garbage collection pauses and provides memory safety guarantees at compile time. Both support WebRTC. The question is whether you need a routing layer or a platform.
Feature Comparison
A side-by-side breakdown of capabilities across video routing, AI, editing, compliance, and infrastructure.
| Feature | V100 | LiveKit |
|---|---|---|
| Architecture | Full platform (20 Rust microservices) | Open-source SFU (Go) |
| Language | Rust (zero GC, memory-safe) | Go (garbage collected) |
| Real-time Video | P2P + relay modes | SFU with simulcast |
| Recording | Built-in, API-controlled | Egress service |
| Live Transcription | 40+ languages, medical vocabulary | Not built-in |
| AI Video Editing | Natural language commands via API | Not available |
| Auto-Captioning | 40+ languages, burned-in or SRT/VTT | Not available |
| Speaker Diarization | Per-word speaker identification | Not built-in |
| Video Publishing | CDN delivery, embed codes, OG tags | Not available |
| Silence Removal | Configurable thresholds | Not available |
| Batch Processing | Process thousands of videos in parallel | Not applicable |
| HIPAA Compliance | All plans, BAA included | Possible with self-hosting effort |
| Post-Quantum Encryption | FIPS 203/204 (ML-KEM, ML-DSA) | Not available |
| White-Label | Full custom branding, embeddable | Open-source customizable UI |
| Billing / Metering | Built-in usage metering, Stripe integration | Not built-in |
| API Endpoints | 200+ REST endpoints | ~30 server APIs + client SDKs |
| Open Source | Proprietary | Apache 2.0 |
| Self-Hosted Option | Enterprise plan | Full self-hosting |
| Community Size | Growing | ~10K GitHub stars, active Slack |
Architecture Differences
The fundamental architectural difference is scope. LiveKit is a video routing layer. V100 is a video application platform. This is not a judgment about quality. It is a statement about what each tool is designed to do.
V100: Full Platform
V100 is 20 Rust microservices covering the entire video lifecycle: capture, route, record, transcribe, edit, caption, publish, and encrypt. When you call the V100 API, you get a complete video product backend. There is no assembly required. The tradeoff is that V100 is proprietary and you depend on a single vendor for the full stack.
- Conferencing, recording, transcription, editing, publishing in one API
- 3.0 microsecond processing pipeline
- Built-in compliance controls (HIPAA, BAA, audit logging)
- Post-quantum encryption (FIPS 203/204)
- White-label UI components and embeddable player
LiveKit: Open-Source SFU
LiveKit is a focused SFU that handles the real-time video routing problem extremely well. It supports simulcast, SVC, and adaptive bitrate. The egress service handles recording and RTMP streaming. Client SDKs are available for most platforms. For everything else, you integrate other services or build custom solutions. The benefit is full control and transparency.
- WebRTC SFU with simulcast and SVC support
- Egress for recording and RTMP output
- Ingress for RTMP/WHIP input
- Client SDKs for React, Swift, Kotlin, Flutter, Unity
- Open-source codebase, self-hostable, inspectable
When to Choose LiveKit
LiveKit is a strong choice for specific use cases. Here is where it makes sense to choose LiveKit over V100.
- You need an open-source SFU. If open source is a hard requirement for auditing, forking, or contributing, LiveKit is the clear choice. V100 is proprietary. LiveKit's Apache 2.0 license lets you inspect, modify, and self-host the entire codebase.
- You only need video routing. If your product only needs to connect participants in real-time video rooms and you already have transcription, editing, and publishing handled by other tools, LiveKit does the routing job without the overhead of a full platform.
- Your team prefers Go. LiveKit is written in Go and has a Go-native contributor ecosystem. If your engineering team runs a Go stack, contributing to or extending LiveKit will feel natural. V100 is Rust, which has a steeper learning curve for teams new to the language.
- You want full infrastructure control. Self-hosting LiveKit on your own infrastructure gives you complete control over data flow, latency optimization, and geographic distribution without depending on a vendor's cloud deployment.
- You have a simple video use case. If you are building a basic video call feature into an existing product and don't need transcription, editing, or publishing, LiveKit's simpler architecture may be all you need.
When to Choose V100
V100 makes sense when you need more than video routing. Here are the scenarios where V100's unified platform eliminates the complexity of multi-vendor integration.
- You need transcription, editing, and publishing in one API. Building a product that requires video calls, transcription, AI editing, captioning, and publishing means integrating LiveKit with Deepgram, Descript or a custom editor, a CDN, and a captioning tool. V100 replaces all of those with one API key and one bill.
- HIPAA compliance is non-negotiable. V100 includes BAA, audit logging, encryption, and session isolation on every plan. Achieving HIPAA compliance with LiveKit requires careful self-hosting configuration, infrastructure auditing, and a custom BAA arrangement.
- You want post-quantum encryption. V100 is the only video platform offering FIPS 203 (ML-KEM) and FIPS 204 (ML-DSA) post-quantum cryptographic protection on video sessions and recordings. LiveKit uses standard WebRTC encryption.
- You need white-label video products. Building a video SaaS product where your customers see your brand, not a vendor's, is a core V100 use case. Embeddable components, custom domains, and per-tenant billing are built in.
- Performance at the infrastructure level matters. V100's Rust microservices eliminate garbage collection pauses that Go's runtime introduces. For latency-sensitive applications where predictable sub-millisecond response times matter, Rust's performance model provides guarantees that garbage-collected languages cannot.
- You want to reduce vendor count. Replacing LiveKit + Deepgram + a captioning tool + a CDN + a compliance layer with a single vendor simplifies procurement, reduces integration surface area, and consolidates your BAA to one agreement.
Performance
Performance comparisons between V100 and LiveKit require context. They operate at different layers, so direct benchmarks are not always apples-to-apples. Here is what we can state.
V100 Benchmarks
- Processing pipeline: 3.0 microseconds end-to-end
- Throughput: 7.4M ops/sec on 20 Rust microservices
- Garbage collection: None (Rust, compile-time memory management)
- Tail latency: Predictable, no GC pauses
- Encryption overhead: Post-quantum signatures add <300 microseconds per batch
- Transcription latency: Real-time, sub-second delay
LiveKit Characteristics
- SFU routing: Low-latency WebRTC forwarding
- Simulcast: Adaptive bitrate with multiple quality layers
- Go runtime: Garbage collection pauses in the 0.1-1ms range
- Scalability: Horizontal scaling across multiple SFU nodes
- Published benchmarks: LiveKit does not publish detailed latency benchmarks for direct comparison
- Community reports: Generally regarded as performant for SFU workloads
Note: Rust vs. Go performance differences are most significant in CPU-bound workloads like encryption, transcoding, and AI inference. For I/O-bound SFU packet forwarding, both languages perform adequately. The performance advantage of Rust becomes most apparent when running the full V100 pipeline (encrypt + transcribe + edit + publish) versus assembling equivalent functionality from multiple Go/Python/Node services.
Pricing Comparison
Pricing models differ because the products differ. LiveKit offers open-source self-hosting (free) and a managed cloud product. V100 offers a free tier and usage-based pricing for the full platform.
| Pricing Factor | V100 | LiveKit |
|---|---|---|
| Free Tier | Yes (includes transcription, editing, HIPAA) | Open-source self-hosting is free; LiveKit Cloud has a free tier |
| P2P Video Cost | $0 for peer-to-peer media | Free if self-hosted; per-participant-minute on Cloud |
| Transcription | Included in platform pricing | Requires third-party (Deepgram, AssemblyAI, etc.) |
| AI Editing | Included in platform pricing | Requires custom build or third-party |
| Recording | Included | Egress service (free self-hosted, per-minute on Cloud) |
| HIPAA / BAA | Included on all plans at no extra cost | Self-hosted (your responsibility); Cloud requires enterprise plan |
| Total Cost for Full Stack | One bill from one vendor | LiveKit + transcription vendor + editing tool + CDN + compliance |
The real cost comparison: LiveKit's self-hosted SFU is free, but a production video product requires more than an SFU. When you factor in the cost of adding transcription (Deepgram: ~$0.0043/min), editing tools, a CDN, compliance infrastructure, and the engineering time to integrate them, V100's single-vendor pricing is often lower total cost of ownership for teams that need the full stack.
Ready to Compare for Yourself?
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