Seedance 2.0 vs Sora 2: availability & migration
Quick answer
For a new project, evaluate an available Seedance workflow rather than starting a long-term Sora dependency. Seedance 2.0 supports text, image, audio, and video references through supported interfaces. OpenAI closed Sora's app and web experience April 26, 2026, and lists September 24, 2026 as its API discontinuation date. Availability is now the first decision in this comparison.
We compare these versions using current documented availability, migration status, inputs, outputs, and access routes. This is a version-aware documentation comparison, not a retained same-input quality benchmark.
The difference that matters now
Decision | ||
|---|---|---|
New workflow | Check a currently available provider and supported inputs | Avoid a durable dependency on an API scheduled to close |
Reference material | Text, image, audio, and video inputs; hosts may expose a subset | Treat older examples and integration instructions as historical |
Existing work | Preserve source assets, settings, and accepted outputs | Follow current export and shutdown instructions |
Quality comparison | Evaluate your actual brief and controls | Historical demonstrations do not establish a current buying winner |
Cloud shadows move slowly across the scene while foreground plants respond to a light breeze. The camera makes one gentle push forward. Preserve the original composition, subjects, and visual style. One continuous shot.
Test an available video workflow
Recreate one representative Sora shot with the same source image, duration and acceptance checks. Preserve both requests and choose from the actual result.
Open Image-to-VideoSources: ByteDance's Seedance 2.0 model page and OpenAI's Sora notice, checked September 13, 2026.
When are references useful?
Use an image when the subject, product, or composition must stay recognizable. Use a permitted motion reference when a supported interface can use it to guide movement. Describe what each reference should control and what must remain unchanged. Conflicting references can make the task harder.
For example, start with a product photograph, specify a slow sideways camera move, and require the label and packaging shape to remain unchanged. Inspect the product throughout the result. This is a proposed workflow, not a claim of measured model superiority.
Which Seedance version are you buying?
Seedance 2.0 is a specific release. Magic Hour's current model reference also lists other versions, including Seedance 2.5. Check the exact model ID, resolution, duration, and audio behavior. A provider may expose only some of the underlying model's controls.
How should you compare cost?
Use the same duration, output size, audio requirement, and reference assets. Count retries and rejected outputs. Convert credits using the provider's actual billing method; credits from two platforms are not equivalent. See Magic Hour billing for its subscription, pack, and usage-based options.
What should existing Sora users do?
Export permitted work and preserve prompts and source assets. Recreate a small representative segment with an available model, then compare identity, motion, audio, and editing effort. Do not assume an old prompt transfers unchanged. See the Sora export guide. To try a current reference-image workflow, open Magic Hour image-to-video and check the selected model.
Frequently asked questions
OpenAI discontinued the Sora web and app experiences on April 26, 2026 and says the Sora API had a published discontinuation date of September 24, 2026. Export permitted work and avoid a new durable dependency.
No. ByteDance currently links newer Seedance releases from its model catalog, and Magic Hour lists Seedance 2.5 alongside 2.0. Use the exact model ID available in your chosen interface.
ByteDance documents text, image, audio and video inputs for Seedance 2.0. A host may expose only a subset, so verify the actual interface or API schema before designing a workflow.
Preserve the original prompt and source assets, then recreate one representative shot with fixed duration, format and acceptance checks. Adjust for the new model only after comparing the first result.
