Two parallel AI video production workflows feeding a neutral review screen for a model comparison.
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UllrAI Lab

Wan 3.0 vs Seedance 2.5: 1080p, References, API & Cost

Compare the current 1080p APIs, Wan Prime, Seedance Draft, references, editing, and total input/output charges using a fair production test.

Both Wan 3.0 and BytePlus Seedance 2.5 now document 1080p output. The older comparison that gave Wan a resolution advantage over a 720p-only Seedance API is out of date. Neither specification establishes a universal quality winner.

Current comparison

Production concernWan 3.0BytePlus Seedance 2.5
Model IDwan3.0-video; speed-optimized wan3.0-video-primedreamina-seedance-2-5-260628
Duration2–30 seconds4–30 seconds
Resolution480P, 720P, 1080P480p, 720p, 1080p
ControlsFirst/last frames, mixed references, audio toggle, smart duration, adaptive ratioUp to 50 references, editing, extension, Draft workflow
Draft/final pathTest normal and Prime independently480p Draft, then 1080p within seven days; both charged
BillingInput-video seconds plus successful output secondsActual token usage; input conditions and minimums matter

Verify reference counts, input durations and mode-specific constraints in the exact request schema. A family-level feature list is not an accepted request payload. Neither hosted access path proves that the model weights are available for local deployment.

Where the workflow differs

Wan exposes normal and Prime variants with explicit duration, audio and reference controls. Prime is positioned for faster generation, but that is not a guarantee of a particular queue time or identical quality on your shots.

Seedance's larger reference budget and documented edit/extend tasks are worth testing when a shot needs character sheets, scene design, performance, camera movement and voice together. Its current Draft mode also offers an explicit preview/final path. Final requests inherit creative parameters; they are not arbitrary new generations or a free upscale.

Cost comparison needs the full request

For Singapore, Wan's displayed normal-model list rates are $0.05/$0.10/$0.20 per second at 480P/720P/1080P, with a limited-time discount notice. Prime has separate rates. Input video is charged too: five input seconds plus ten output seconds means fifteen billable seconds.

Seedance 2.5 uses tokens, with separate 1080p rates and lower token unit rates for video-input tasks. Input video also increases consumption, and minimum usage can apply. Draft and final tasks are charged independently. Do not compare a Wan output-only estimate with a Seedance bill that includes reference input and retries.

Use the same provider region, duration, ratio, resolution, reference assets and review rules. Save actual usage rather than converting a prepaid pack into a universal clip price.

A fair test for motion comics

  1. Use one approved character and scene pack, with the same dialogue and camera intent.
  2. Test a close-up, two-person exchange, hand-to-object interaction, a longer action and a later matching shot.
  3. Run the same retry allowance. Keep every result, not just the best pair.
  4. Review identity, clothes, props, spatial continuity, motion, audio and whether the shot survives an edit.
  5. Record end-to-end latency, rejected takes, review time and total cost per approved final second.

If you also test each model's unique controls, label that as a separate workflow experiment. Do not treat a Seedance 2.0 demo as a 2.5 benchmark or a launch reel as a random sample.

Which should you try first?

Start with Seedance when reference-heavy editing and the Draft workflow address a real bottleneck. Start with Wan when its modes, seconds-based billing or Prime variant fit the job. These are test hypotheses, not measured verdicts. Keep scripts, assets and approved shot versions outside the provider so one failed shot can change models without rebuilding the episode.

Read Wan 3.0 API and pricing, Seedance 2.5 status, and Draft mode cost examples.

Sources reviewed October 21, 2026: Alibaba Cloud catalog, Alibaba Cloud pricing, BytePlus tutorial, BytePlus pricing.

Model and product names in this article are trademarks of their respective owners. AniKuku and UllrAI Lab are not affiliated with or endorsed by them.

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