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Comparison of Wan2.7-R2V, Seed-2.0-code, Ideogram V4.5 Edit, Alibaba: Wan 3.0
4 modelsWan-AIWan2.7-R2VRemove ×ByteDanceSeed-2.0-codeRemove ×ideogramIdeogram V4.5 EditRemove ×alibabaAlibaba: Wan 3.0Remove ×
What’s differentAccurately preserve the look and voice of people or objects from a reference video, supporting multi-reference co-creation.A coding model optimized for real-world development environments, with reliable tool use in common IDEs such as Claude Code. It delivers strong front-end performance and supports Skills.Mask-guided edits with a high-precision mode that restores unchanged pixels; combines a source image with extra references.Can choose clip duration from the prompt; toggle generated audio, prompt expansion and extra thinking before rendering.
DateApr 27, 2026ListedApr 29, 2026ListedSep 30, 2026ListedAug 19, 2026Released
Listed rate$0.10/ secondDeepInfra · all routes ↗780P · $ cost per second · output second$0.50 in / $3.00 out/ 1M tokensDeepInfra · all routes ↗See provider quotes$0.05/ secondDeepInfra · all routes ↗480P · $ cost per second · output second
Provider endpoints1 endpoint →1 endpoint →0 endpoints →2 endpoints →
AA Video + Audio ↗2.1Not reportedNot reportedNot reported1,173.29 ↗Text-to-video · audio evaluated · all categoriesIndependent result95% CI 1,157.29–1,189.29 · n=5,682
AA Video Silent ↗2.1Not reportedNot reportedNot reported1,135.19 ↗Text-to-video · silent evaluation · all categoriesIndependent result95% CI 1,116.19–1,154.19 · n=3,890
Context window—256K——
Max output————
Parameters————
Structured outputNot reportedNot reportedNot reportedSupported
Image inputNot reportedNot reportedNot reportedSupported
Audio inputNot reportedNot reportedNot reportedSupported
Video inputNot reportedNot reportedNot reportedSupported