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AI image model comparison

Seedream 4.0 vs Wan 2.7 Image

Both start at $0.088 (price per image). Seedream 4.0 has a lower price per megapixel, faster renders, larger images and more reference images.

Head to head

2 of 4 models · prices from the live catalog,

Price
Price per image$0.088$0.088
One image at 1K$0.088Not offered
One image at 2K$0.088Not offered
One image at 4K$0.11Not offered
Per megapixel≈ $0.007/MP (best)$0.021/MP
Speed and size
Render time~20–39 sec (best)~25–57 sec
Largest output≈16.8 MP (best)4.2 MP
Sizes1K · 2K · 4K—
Frames1:1 · 9:16 · 16:9Model default
Inputs
Reference imagesUp to 10 (best)Up to 9
TakesText · 10 imagesText · 9 images
What it does
Edits a photoYesYes
Vector SVGNoNo
Can doText → imageImage referencesText → imageImage references
Good forPosters · Typography · Key artValue renders · Open ecosystem · Experimentation
Settings you controlFrame · ResolutionColour palette · Expand prompt · Seed · Size · Thinking mode · Watermark

Output side by side

No image model has a same-prompt render yet. Compare the facts above.

Which should you choose?

Choose Seedream 4.0 if you want

  • a lower price per megapixel
  • faster renders
  • larger images
  • more reference images
  • posters
  • typography
Generate with Seedream 4.0 →

Choose Wan 2.7 Image if you want

  • value renders
  • open ecosystem
Generate with Wan 2.7 Image →

Compare with others

← All image models, compared

How we compare

  • Prices come from the live catalog at the pay-as-you-go rate. The quote before you generate is binding. Plans and packs
  • Render times are the catalog’s own estimate for one render.
  • Every clip and image on this page was rendered on OpenClips.

Questions

Seedream 4.0 vs Wan 2.7 Image: questions

Seedream 4.0: $0.088. Wan 2.7 Image: $0.088. Prices are at the pay-as-you-go rate. The quote before you generate is binding.

Seedream 4.0 is the fastest here. Seedream 4.0 takes ~20–39 sec. Wan 2.7 Image takes ~25–57 sec.

Seedream 4.0 and Wan 2.7 Image take a photo or reference images.

None of them. Each outputs a raster image.