No currently selectable exact public API identifier verified.
Access
Launched in research preview through Tavus and fal in April 2025. The original fal-ai/tavus/hummingbird-lipsync/v0 documentation now renders a 404, and the original model landing page is also unavailable. Exact retirement or replacement is not established.
Regions
Privacy policy describes US processing and possible transfers to service providers in other countries. Exact model-serving location is not established.
Endpoint pricing has not been collected. Check the provider for applicable rates.
Data & enterprise terms
Default privacy terms permit service improvement and AI research/training. Biometric retention is limited by the stated purpose or one year after last interaction, whichever comes first. Enterprise zero-retention arrangements are separate; no universal zero-retention promise is inferred.
Caching can reuse earlier input processing. Availability, lifetime and billing depend on the endpoint. A cache hit still generates a new response.
01 / INITIAL INPUTProcess & retain
The system processes eligible input and retains reusable state.
02 / LATER REQUESTCheck available state
Reuse depends on matching input, session state and the cache policy.
03 / CACHE HITReuse & generate
Reusing state can reduce repeated work. Any charges follow the billing rules below.
Tavus (historical)
Not verified
Internal streaming state, saved faces and conversation memories do not establish billable prompt caching, cache lifetime or discounts.
How it works
Not collected
Internal streaming state, saved faces and conversation memories do not establish billable prompt caching, cache lifetime or discounts.
Minimum reusable input
Not collected
Internal streaming state, saved faces and conversation memories do not establish billable prompt caching, cache lifetime or discounts.
Lifetime & refresh
Not collected
Internal streaming state, saved faces and conversation memories do not establish billable prompt caching, cache lifetime or discounts.
How to enable it
Not collected
Internal streaming state, saved faces and conversation memories do not establish billable prompt caching, cache lifetime or discounts.
Usage fields
Not collected
Internal streaming state, saved faces and conversation memories do not establish billable prompt caching, cache lifetime or discounts.
Billing rules
Not collected
Internal streaming state, saved faces and conversation memories do not establish billable prompt caching, cache lifetime or discounts.
Limits & data boundaries
Not collected
Internal streaming state, saved faces and conversation memories do not establish billable prompt caching, cache lifetime or discounts.
No verified cache rate for this endpoint. An empty rate is not a zero charge.
Caching reviewed 14 Oct 2026
What the measurements say
DOVER
Tavus · provider-reported
0.73score
Provider evaluation on 30+ videos. DOVER/Arcface higher is better; LSE-D/FID lower is better. Detection-score result is a provider metric, not a guarantee of undetectability.
Provider evaluation on 30+ videos. DOVER/Arcface higher is better; LSE-D/FID lower is better. Detection-score result is a provider metric, not a guarantee of undetectability.
Provider evaluation on 30+ videos. DOVER/Arcface higher is better; LSE-D/FID lower is better. Detection-score result is a provider metric, not a guarantee of undetectability.
Provider evaluation on 30+ videos. DOVER/Arcface higher is better; LSE-D/FID lower is better. Detection-score result is a provider metric, not a guarantee of undetectability.
Provider evaluation on 30+ videos. DOVER/Arcface higher is better; LSE-D/FID lower is better. Detection-score result is a provider metric, not a guarantee of undetectability.
Latency and throughput depend on the host, request size, reasoning settings and load. There is no measured speed or global usage figure in this record.
The record behind the model
Why it is included
Named model developed by Tavus in its proprietary hosted/research stack. Reviewed primary documentation provides no downloadable weights for this model; service terms restrict source derivation and independent avatar use. Open SDKs and third-party models in the surrounding pipeline are separate.
