SSyncDev

AI model comparison

ByteDance-Seed/SeedVR2-3B vs ByteDance-Seed/SeedVR2-7B

Compare pricing, context limits, supported inputs and deployment options to choose a model for your workflow.

Choosing a video-restoration checkpoint

Both SeedVR2 releases restore existing video. The publisher describes prototype limitations including difficult degradation, large motion and invented detail. The practical question is whether a checkpoint improves your footage within your runtime budget.

Read the recorded specifications

The table below shows each profile's documented interface and recorded limits. Missing prices or measurements remain unknown. Open the source links on each profile to confirm the current checkpoint or API route.

Side-by-sideCapabilities and practical differences

ByteDance-Seed

ByteDance-Seed/SeedVR2-3B

SeedVR2-3B is a ByteDance Seed video-restoration checkpoint. Compare temporal fidelity, runtime memory and prototype limitations before deployment.

Accepts

  • Video input

Produces

  • Video output
Full model profileModel card on Hugging Face ↗
VS

ByteDance-Seed

ByteDance-Seed/SeedVR2-7B

SeedVR2-7B is a ByteDance Seed video-restoration checkpoint. Compare temporal fidelity, runtime memory and prototype limitations before deployment.

Accepts

  • Video input

Produces

  • Video output
Full model profileModel card on Hugging Face ↗

Specifications

Pricing, limits and capabilities

Specifications for ByteDance-Seed/SeedVR2-3B and ByteDance-Seed/SeedVR2-7B. Higher limits and lower prices describe these figures only.
SpecificationByteDance-Seed/SeedVR2-3BByteDance-Seed/SeedVR2-7B
ProviderByteDance-SeedByteDance-Seed
Listed pricing routeByteDance-SeedByteDance-Seed
Model family——
Accepted inputsvideovideo
Produced outputsvideovideo
Reasoning modeNot documentedNot documented
Tool callingNot documentedNot documented
Image inputNot documentedNot documented
Audio inputNot documentedNot documented
Structured outputNot documentedNot documented
LicenseApache-2.0Apache-2.0

Workload guidance

Which model should you choose?

A useful decision test

Process identical clips at identical output settings. Inspect faces, text, temporal flicker and oversharpening across the entire video. Record memory, precision and processing time for the actual runtime. Keep 3B when it meets the quality threshold within your constraints; choose 7B only where measured results justify its footprint.

Inspect the first model profile and the second model profile. Keep your test inputs, runtime settings and acceptance criteria with the result so the comparison can be repeated.

Documentation and model profiles

Explore each model’s features, API requirements and licence terms in the sources below.

Questions people ask

It brings together documented inputs and outputs, token limits, deployment terms and available pricing. When both models have source-linked, verified results on a shared benchmark, those results are shown with their individual sources. The comparison is a starting point for evaluating your own workload.

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