AI image model comparison
Seedream 5.0 Lite vs Wan 2.7 Image
Wan 2.7 Image is 13% cheaper (price per image: Seedream 5.0 Lite $0.10 vs Wan 2.7 Image $0.088). Seedream 5.0 Lite has more reference images. Wan 2.7 Image has faster renders.
| Price | ||
|---|---|---|
| Price per image | $0.10 | $0.088 (best) |
| Per megapixel | Not offered | $0.021/MP |
| Speed and size | ||
| Render time | ~1–2 min | ~25–57 sec (best) |
| Largest output | Not stated | 4.2 MP |
| Sizes | 2K · 3K · 4K | — |
| Frames | 1:1 · 9:16 · 16:9 | Model default |
| Inputs | ||
| Reference images | Up to 10 (best) | Up to 9 |
| Takes | Text · 10 images | Text · 9 images |
| What it does | ||
| Edits a photo | Yes | Yes |
| Vector SVG | No | No |
| Can do | Text → imageImage references | Text → imageImage references |
| Good for | Posters · Typography · Key art | Value renders · Open ecosystem · Experimentation |
| Settings you control | Frame · Resolution | Colour 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 5.0 Lite if you want
- more reference images
- posters
- typography
Choose Wan 2.7 Image if you want
- a lower price per image
- faster renders
- value renders
- open ecosystem
Compare with others
Seedream 5.0 Lite vs …
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 5.0 Lite vs Wan 2.7 Image: questions
Wan 2.7 Image costs the least here (price per image). Seedream 5.0 Lite: $0.10. Wan 2.7 Image: $0.088. Prices are at the pay-as-you-go rate. The quote before you generate is binding.
Wan 2.7 Image is the fastest here. Seedream 5.0 Lite takes ~1–2 min. Wan 2.7 Image takes ~25–57 sec.
Seedream 5.0 Lite and Wan 2.7 Image take a photo or reference images.
None of them. Each outputs a raster image.