Skip to main content

Direct comparison

Wan 2.6 vs. Vidu Q3 Pro

Compare the exact model versions across shared blind-preference benchmarks, public pricing, release dates, resolution, duration, native audio, access, and model availability.

Overview

Technical specifications and pricing

Technical limits come from model or API documentation. A representative minute price appears only when it can be traced to the exact model. Different resolutions and audio settings may still affect the final charge.

Specifications and pricing for Wan 2.6 and Vidu Q3 Pro
AttributeWan 2.6Vidu Q3 Pro
ProviderAlibabaShengShu
ReleasedDecember 2025January 2026
AccessAPIAPI, Web app
WeightsProprietaryProprietary
ParametersNot publishedNot published
Maximum resolution1080p1080p
Maximum duration15 s16 s
Native audioYesYes
Representative API price$9 per minute Source$9.6 per minute Source
LifecycleNo separate noticeNo separate notice
Technical sourceModel sourceVerified 2026-08-24Model sourceVerified 2026-08-24
Wan 2.6Vidu Q3 Pro
Representative public API priceUSD per generated minute, configurations can differ
Wan 2.6Lower price$9
Vidu Q3 Pro$9.6

Key to the marks:better valuebetter, but not conclusivetie

Performance

Shared video benchmarks

A row appears only when both exact model versions occur in the same LMArena task and stored dataset revision. Text-to-video and image-to-video are never merged into one score.

Wan 2.6Vidu Q3 Pro
LMArena Image to VideoBlind preference rating from the same task and dataset revision
Wan 2.61,310.7
Vidu Q3 ProHigher value1,362.5

Key to the marks:better valuebetter, but not conclusivetie

Shared video benchmarks for Wan 2.6 and Vidu Q3 Pro
BenchmarkWan 2.6Vidu Q3 ProSource
LMArena Image to Video
1,310.7Rank 20, 95% interval 1,303.4 to 1,318.1, 103,204 votes
Higher rating1,362.5Rank 15, 95% interval 1,353.7 to 1,371.3, 36,723 votes
LMArenaRetrieved 2026-08-26

Higher rating is better. A clear lead is shown only when the published 95% intervals do not overlap.

Key to the marks:better valuebetter, but not conclusivetie

Visual comparison

Sample videos

Only runs from both exact model versions under the same archived prompt and first-output rule appear here. Provider showcases and substitute versions remain excluded.

Controlled practical comparison. Both exact model versions received the same archived prompt in one request. The first output counts. Playback uses the first five seconds, 1280 × 720 pixels, 30 fps, no crop, and muted audio. Provider-side randomness and prompt processing remain model characteristics.

Motion and physical consistency

Anatomy, object consistency, camera tracking, rain, and reflections

Wan 2.6

Run details

OpenRouter. alibaba/wan-2.6. 16:9, one request, first output, requested 5 s, request {"model":"alibaba/wan-2.6","prompt":"Generate exactly one continuous five-second 16:9 cinematic video. A fictional bicycle courier in a mustard-yellow raincoat rides a red city bicycle from left to right across a rain-wet Hamburg street at blue hour for the entire clip. The camera tracks her smoothly at waist height. Both hands remain visible on the handlebars, the bicycle geometry stays physically correct, and a transparent umbrella fixed to the bicycle moves naturally in the wind. Wet-street reflections and raindrops follow realistic physics. No cuts, no slow motion, no text, no logos, no subtitles, and no audio.","aspect_ratio":"16:9","duration":5,"resolution":"720p","generate_audio":false,"provider":{"options":{"atlas-cloud":{"parameters":{"enable_prompt_expansion":false,"audio":false}}}}}, live estimated cost $0.4000, actual cost $0.4000.

Generated Aug 24, 2026. Source

Vidu Q3 Pro

Run details

fal.ai. fal-ai/vidu/q3/text-to-video. 16:9, one request, first output, requested 5 s, seed provider random, request {"prompt":"Generate exactly one continuous five-second 16:9 cinematic video. A fictional bicycle courier in a mustard-yellow raincoat rides a red city bicycle from left to right across a rain-wet Hamburg street at blue hour for the entire clip. The camera tracks her smoothly at waist height. Both hands remain visible on the handlebars, the bicycle geometry stays physically correct, and a transparent umbrella fixed to the bicycle moves naturally in the wind. Wet-street reflections and raindrops follow realistic physics. No cuts, no slow motion, no text, no logos, no subtitles, and no audio.","resolution":"720p","duration":5,"aspect_ratio":"16:9","audio":false}, configured price estimate $0.77.

Generated Aug 24, 2026. Source

Prompt and integrity hashes

Generate exactly one continuous five-second 16:9 cinematic video. A fictional bicycle courier in a mustard-yellow raincoat rides a red city bicycle from left to right across a rain-wet Hamburg street at blue hour for the entire clip. The camera tracks her smoothly at waist height. Both hands remain visible on the handlebars, the bicycle geometry stays physically correct, and a transparent umbrella fixed to the bicycle moves naturally in the wind. Wet-street reflections and raindrops follow realistic physics. No cuts, no slow motion, no text, no logos, no subtitles, and no audio.

Prompt SHA 256: 206a9182584e93790fd6df608e8a2065fe2c8f747e85aeaaf4c8ea84040e6299

Wan 2.6, Original SHA 256: 0a1ca2a6fc0ca4182ce4032a34dbc01d1155020fd8e868e84034ff7c8593f6e9

Wan 2.6, Normalized SHA 256: 13c00bfccd50daadb27026fef2a11f5c24701d77ab19732505d18450ca5d9857

Vidu Q3 Pro, Original SHA 256: 1ea29031467966ebed0c31df73786e986b236a203cba4c9dfc06349b2492bdd0

Vidu Q3 Pro, Normalized SHA 256: 94dbc1ff8fddb86e65a981ac4826adb00c94e230a35670ff0396ba687ba8ec60

How to read the data

Preference is not the same as production fit

A higher LMArena rating means that outputs from this exact configuration were preferred more often in blind comparisons.

Motion control, identity consistency, audio, turnaround time, moderation, and licensing may matter more than the aggregate preference rating.

Prices are representative public minute rates, not a normalized cost benchmark.

More matchups

Related video model comparisons

Compare Wan 2.6 and Vidu Q3 Pro with other important video models using the same benchmark logic.

View the complete video model comparison