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Model comparisons

Lip Sync vs Talking Avatar

Lip Sync or Talking Avatar, tier by tier: matched prices, request fields, limits and the content policy measured on each.

Lip Sync

Lip Sync redraws the mouth of the person in a video to match a new speech track of 3 to 60 seconds, leaving performance, lighting and framing as shot. It returns an MP4 with your audio, keeping resolution up to 720p.

View model details →View sample outputs →

Talking Avatar

Talking Avatar turns one portrait and a 3 to 60 second voice recording into a lip-synced MP4 of that person speaking. Mouth, head movement and blinks follow the audio, and an optional mask picks the speaker in a group photo.

View model details →View sample outputs →

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The short answer

Start with the input you have, the result you want and your budget. These are the differences that affect that choice.

  • These tools produce different results. Choose the operation you need first; a lower price does not make one a substitute for the other.

These tools produce different results. Choose the operation you need first; a lower price does not make one a substitute for the other.

Current price

Price at the same setting

A start price answers a different question than the one you have. These are the tiers both models publish, matched setting for setting, in US dollars per billed unit with no conversion step in between.

These two bill on different tiers, so there is no row to line up. Each one's own published tiers are listed here instead.

Lip Sync: $0.012 / output seconds

Talking Avatar: $0.018 / output seconds

About this comparison

Controls and limits

Every row here is read from the JSON Schema the endpoint validates against, so it matches what the API will really accept rather than a feature list written by hand.

Swipe horizontally to compare all fields.

Lip Sync vs Talking Avatar
Controls and limitsLip SyncTalking Avatar
Supported taskslip-synctalking-avatar
SeedNoYes
ExecutionSubmit, then poll or take the callbackSubmit, then poll or take the callback
Request timeout120 minutes60 minutes
AvailabilityLiveLive

Can I swap the model ID without changing the request body?

Request body, field by field

The task lifecycle is shared; the body is not. Each endpoint publishes its own JSON Schema and the API validates against that, so this is the list to reconcile before a switch.

  • 1 fields appear in both request bodies under the same names. audio_url
  • Only Lip Sync accepts: video_url.
  • Only Talking Avatar accepts: image_url, mask_url, prompt, seed.
  • Lip Sync requires audio_url, video_url.
  • Talking Avatar requires audio_url, image_url.
  • Both reject unknown fields outright, so a parameter left over from the other model comes back as a validation error instead of being quietly ignored.

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Moving from one to the other

The model identifiers are spicyapi/lip-sync-v1/lip-sync and spicyapi/talking-avatar-v1/talking-avatar, and both go in the same field of the same request.

Both run the same way: submit the task, then poll it or take the callback. Queueing and retry logic carry over unchanged.

Both use the same submit-and-track flow, but their required inputs may differ. Check each model page before switching.

One key, one balance, one set of spend caps. Both bill to the same account in US dollars, and the per-key daily, monthly and lifetime limits apply to whichever one you call.

Questions developers ask

Which is cheaper, Lip Sync or Talking Avatar?

Which is cheaper, Lip Sync or Talking Avatar?

These tools produce different results. Choose the operation you need first; a lower price does not make one a substitute for the other. Prices may change; check the estimate shown for your actual settings before submitting.

How long can a single request run?

Lip Sync allows 120 minutes per task and Talking Avatar allows 60. Those are ceilings rather than typical times — most requests finish far sooner — but they are what your own client timeout has to survive.

Prices and capabilities shown here come from the current public model catalogue. Check each model page for its latest inputs and examples.