Mixer AI › Knowledge Base › Comparison › Seedance 2.5 vs Gemini Omni 1.0 Flash: technical and visual comparison

Seedance 2.5 vs Gemini Omni 1.0 Flash: technical and visual comparison

This compares two models that are available in the current Mixer AI catalog. The table below is built from current product controls, while the visual section shows what to inspect with the same inputs and prompt instead of inventing one universal winner.

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Key differences

Seedance 2.5: Build a short story, not just a moving picture: up to 30 seconds, recurring characters, your own references and sound.

Gemini Omni 1.0 Flash: Gemini Omni 1.0 Flash generates from text or references and can transform a short source-video segment.

Start with the specification table: it reflects current modes, input media, duration, resolution, aspect ratios and a normalized price where a fair comparison is possible.

Specifications

Spec	Seedance 2.5	Gemini Omni 1.0 Flash
Generation modes	from text / from first and last frames / from references / video editing	from text / from references / video editing
First frame	Yes	No
Last frame	Yes	No
Input photos	up to 30	up to 7
Input videos	up to 10	1, required
Input audio files	up to 10	No
Input video length	2–30 s	No
Input audio length	2–30 s	No
Output audio	Can be enabled or disabled	No
Minimum duration	4 s	4 s
Maximum duration	30 s	10 s
Resolutions	480p / 720p / 1080p	720p / 1080p / 4K
Aspect ratios	9:16 / 16:9 / 1:1 / 21:9 / 4:3 / 3:4 / adaptive	9:16 / 16:9
Prompt limit	30,000 characters	20,000 characters
Price, 4 s · 1080p	403 coins	42 coins

What to compare visually

For a fair A/B test, use the same scene and, where both modes allow it, the same first frame. Inspect motion continuity, character and object consistency, physics and contacts, camera behavior, temporal deformation, in-clip cuts and audio synchronization.

What to inspect with Seedance 2.5

Build a short story, not just a moving picture: up to 30 seconds, recurring characters, your own references and sound.

Text mode starts without files. Frame mode uses a starting image and, optionally, an ending image.
Reference mode accepts up to 30 images, 10 videos and 10 audio files. Video and audio each have a separate 30-second total budget.
Timestamps guide pacing; they are not frame-accurate editing commands.
A large, conflicting reference set can work against you. Start with the few files that actually matter.

What to inspect with Gemini Omni 1.0 Flash

Gemini Omni 1.0 Flash generates from text or references and can transform a short source-video segment.

From text, 1–7 image references, or source-video transformation.
New clips: 4, 6, 8, or 10 seconds; 720p, 1080p, or 4K; 16:9 and 9:16.
Version 1.0 has no dedicated first/last-frame workflow.
Video transformation uses a selected segment up to 10 seconds; the new-clip duration selector does not carry over to that workflow.

How to run a fair comparison

Lock one prompt, aspect ratio and a duration or resolution that both models actually support.
If input modes differ, compare the shared workflow first and test each model's extra controls separately.
Run more than one attempt: a single output reflects one seed, not the model's overall consistency.
Score prompt adherence, visual artifacts, reference preservation and the cost of the setting you would really use separately.

What we compare

Seedance 2.5

Build a short story, not just a moving picture: up to 30 seconds, recurring characters, your own references and sound.

Gemini Omni 1.0 Flash

Gemini Omni 1.0 Flash generates from text or references and can transform a short source-video segment.

FAQ

How should I compare Seedance 2.5 and Gemini Omni 1.0 Flash fairly?

Use a workflow both models share, keep inputs and prompt identical, then run several generations. Compare prompt adherence, visual consistency and the price of the setting you need as separate dimensions.

Are both models available in Mixer AI?

Yes. This page is generated only for models in the current public Mixer AI catalog; if a model leaves the catalog, the automated comparison must stop passing validation.

Which model is better?

There is no universal answer. First eliminate a model that cannot accept the input, duration, resolution or format you need, then compare outputs on your own scene. The table highlights only measurable advantages in individual specifications.