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Comparison最后更新:2026-09-10

Sora 2 vs Seedance 2

Compare OpenAI Sora 2 and Seedance 2 on duration, resolution, audio, and social vs narrative use cases.

暂时下架

Sora 暂时下架

OpenAI 已停止 Sora 与 Videos API,videobao 暂停新建 Sora 生成。本页保留,方便查阅。

改用 Grok 创作

同一提示词样片

每一行使用同一条提示词,方便公平对比。已上线样片来自 videobao 现有示例;若某模型还没有该提示词的样片,请自行生成——我们不会伪造样片。

中式婚礼原始样片由 Sora 2 生成

共用提示词

9:16 vertical, 4 seconds. A blonde, blue-eyed American model with a model figure, wearing an exquisite Chinese wedding dress (longfenggua / xiuhe style), holding a bouquet, walking through a Wangxiangu-valley-style scene: mist-shrouded cliffs, ancient plank walkways and pavilions, a xianxia fantasy atmosphere. Her expression is happy and expectant as she walks toward the wedding stage ahead. Cinematic photography style, soft warm lighting, highlighting the bride and the details of the Chinese dress, with a softly blurred background.

Sora 2

已托管示例
Sora 暂时下架

Seedance 2需 Lite

该提示词暂无托管样片

该提示词暂无托管样片

用 Seedance 2 生成这条提示词
两个模型都试

会先用 Sora 2 打开这条提示词——在生成器里切换模型即可重跑另一侧。生成需要登录。

以上为已发布的产品示例,不是实时双模型对打。时长和分辨率仍按各模型限制。

Sora 2 — 最适合:

  • +OpenAI ecosystem users
  • +Anime and stylized video generation
  • +Multi-clip consistency-critical projects
  • +Variable-duration creative content
  • +Scene-to-scene consistency

Seedance 2 — 最适合:

  • +Social media content calendars
  • +Ultrawide / cinematic social formats
  • +Multi-reference short videos
  • +Teams needing audio + flexible length
FeatureOpenAIByteDance
ProviderOpenAIByteDance
Price5 credits/video4 credits/video
Duration4–20s variable4–15s variable
Resolution720p480p–1080p
Aspect Ratios16:9, 9:16, 1:116:9, 9:16, 1:1, 4:3, 21:9, adaptive
Native AudioNoYes
首帧参考YesYes
尾帧参考NoYes
Base64 SupportNoYes
Negative PromptNoNo
Prompt EnhancementNoNo
Camera ControlNoNo

Sora 2 的不足之处

  • -Max 720p resolution only
  • -No native audio
  • -No negative prompt or camera control
  • -Highest cost tier among comparables
  • -Portrait/landscape orientation control less fine-tuned

Seedance 2 的不足之处

  • -No 4K output
  • -Less proven for text-in-video than Veo
  • -Portrait-first workflows may prefer Kling
  • -Newer model with fewer third-party writeups

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