Mixer AI › Knowledge Base › Comparison › Veo 3.1 vs Wan 3.0: technical and visual comparison

Veo 3.1 vs Wan 3.0: 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

Veo 3.1: A short scene with both picture and sound in mind, from rustling fabric to a character's line.

Wan 3.0: A scene up to 30 seconds long, combining photos, motion and audio references in one request.

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	Veo 3.1	Wan 3.0
Model variants	Lite / Fast / Quality	Standard / Prime
Generation modes	from text / from first and last frames / from references	from text / from first and last frames / from references
First frame	Yes	Yes
Last frame	Yes	Yes
Input photos	up to 3	up to 10
Input videos	No	up to 5
Input audio files	No	up to 5
Input video length	No	1–15 s
Input audio length	No	1–15 s
Output audio	Native	Can be enabled or disabled
Minimum duration	4 s	2 s
Maximum duration	8 s	30 s
Resolutions	720p / 1080p	1080p / 720p / 480p
Aspect ratios	9:16 / 16:9 / auto	9:16 / 16:9 / 1:1 / adaptive / 4:3 / 3:4
Prompt limit	1,000 characters	20,000 characters
Price, 4 s · 1080p	25 coins · Lite	88 coins · Standard

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 Veo 3.1

A short scene with both picture and sound in mind, from rustling fabric to a character's line.

Lite, Fast and Quality are separately priced versions. Test the idea with an affordable option, then compare another version using the same brief.
Text mode needs no images. Frame mode takes a first image and an optional last one. Reference mode accepts 1–3 photos for subjects, products and the scene.
Review written signs and pronunciation separately from the visual quality.
Very different first and last frames can produce an awkward transformation rather than a believable transition.

What to inspect with Wan 3.0

A scene up to 30 seconds long, combining photos, motion and audio references in one request.

Text, one or two frames, or references. Mixer AI offers Standard and Prime.
480P, 720P or 1080P; reference mode accepts up to 10 photos, 5 videos and 5 audio files.
Input video time is added to output time in the price calculation.
A long generation is not precise editing. Inspect transitions and object consistency throughout.

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

Veo 3.1

A short scene with both picture and sound in mind, from rustling fabric to a character's line.

Wan 3.0

A scene up to 30 seconds long, combining photos, motion and audio references in one request.

FAQ

How should I compare Veo 3.1 and Wan 3.0 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.