Spatius and LemonSlice can both create real-time visual avatar experiences, but their published architectures take different paths. Spatius converts speech audio into motion data for client rendering. LemonSlice has described a cloud video-diffusion approach.
Metrics use the current published framing. Test both products under the same session, client, and network conditions.
| Decision area | Spatius | LemonSlice |
|---|---|---|
| Product role | Real-time avatar interaction layer | Generative real-time avatar |
| Published architecture | Cloud-edge hybrid motion generation | Cloud video diffusion |
| Rendering | AvatarKit on the client | Cloud GPU-generated video |
| Published network path | Around 100 kbps / 10–20 KB/s | Approximately 2–5 Mbps at 1080p |
| Published output | 1080p at 25 fps on listed configurations | 1080p streamed visual output |
| AI stack | Customer owns ASR, LLM, TTS, and logic | Confirm managed and replaceable components |
| Published cost framing | From $0.42/hour | Compare current plan and cloud GPU economics |
The important distinction is what moves across the network and which parts of the AI product your team owns.
Spatius receives avatar speech audio and produces motion data. AvatarKit renders on the client. Your application owns ASR, LLM, TTS, tools, knowledge, CRM, scoring, workflows, and turn-taking.
A diffusion-based cloud pipeline generates visual output on server GPUs and streams it as media. This centralizes rendering but makes the video stream and cloud compute part of the operating model.
A fair comparison identifies where both products fit—and where they do not.
Client rendering requires a capable target environment. Cloud diffusion can centralize output, but its stream, GPU cost, and recovery behavior must be tested under production conditions.
Do not compare two vendor demos with different inputs. Use one test plan and document what each platform includes.
Last verified Aug 3, 2026. Recheck plan terms and vendor-defined metrics before purchase.
