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Wan 3.0 Guide: Alibaba Video Specs, Costs, and Prompts (2026)

Wan 3.0 Guide: Alibaba Video Specs, Costs, and Prompts (2026)

Alibaba Wan 3.0 generates native 30-second AI videos at up to 1080p resolution for 24 credits per second on DramaCanvas. It is available on [DramaCanvas](https://dramacanva.com), charging 6 credits per second for 480p, 12 credits for 720p, and 24 credits for 1080p. Its main strength on DramaCanvas is references: 10 images, 5 videos (each ≤100 MB) and 5 audio clips in one generation, more than Seedance 2.0 (9 images, 3 videos, 3 audio), plus native audio according to Alibaba's documentation. While it is cheaper per second than Seedance 2.0 and Seedance 2.5, for the cheapest 1080p seconds use Kling 4 (12 credits/s, images only, no video/audio references).

In this production guide, you will learn how Wan 3.0 compares to Seedance 2.5 and Seedance 2.0, how credit billing works on DramaCanvas, and how to structure prompts using Alibaba's official formula. On a Standard subscription of $29.90 for 1,100 credits (≈ $0.027 per credit), a 10-second 1080p shot costs 240 credits (≈ $6.48), providing a practical baseline for narrative storyboard production.

What is Alibaba Wan 3.0 and what are its core capabilities?

Alibaba Wan 3.0 is a foundation video model released by Alibaba Cloud on [Model Studio](https://modelstudio.alibabacloud.com/intl/blog/wan3-ai-video-generation-model/) that generates continuous 30-second videos at 30 frames per second across 6 aspect ratios.

According to the [Alibaba Cloud Model Studio video generation guide](https://docs.modelstudio.console.alibabacloud.com/en/model-studio/wan3-video-generation-guide), Wan 3.0 operates as an all-in-one architecture supporting text-to-video, image-to-video, and reference-to-video within a single model. It natively outputs spoken voice dialogue, background music, and ambient sound effects synchronized with visual action.

On DramaCanvas, creators access Wan 3.0 through the [infinite canvas interface](https://dramacanva.com) alongside models like Kling 3.0 and Kling 4. On the canvas, Wan 3.0 accepts up to 10 reference images, 5 reference videos (each ≤100 MB), and 5 reference audio clips across 480p, 720p, and 1080p resolutions. As detailed in the [official Wan 3.0 GitHub repository](https://github.com/AlibabaCloud-Official/Wan3.0/tree/main), the model also renders text across 12 languages and connects to the DramaCanvas MCP server for automated workflows.

Wan 3.0 vs Seedance: how do video costs and reference inputs compare?

On DramaCanvas, Wan 3.0 renders 1080p video at 24 credits per second, which reduces credit consumption by 67.6% compared to Seedance 2.5 (74 credits per second) and 52% compared to Seedance 2.0 (50 credits per second).

When planning episodic sequences on an infinite canvas, credit burn determines production volume. A 10-second 720p draft on Wan 3.0 consumes 120 credits (≈ $3.24 at $0.027 per credit), compared to 200 credits (≈ $5.40) on Seedance 2.0 and 300 credits (≈ $8.10) on Seedance 2.5. For a full 30-second 1080p sequence, Wan 3.0 requires 720 credits (≈ $19.44), whereas Seedance 2.5 costs 2,220 credits (≈ $59.94).

Input support is another major differentiator. While Seedance 2.5 accepts up to 30 reference images, it accepts no reference video on DramaCanvas. In contrast, Wan 3.0 allows up to 5 reference videos (each ≤100 MB) alongside 10 reference images and 5 audio clips, enabling creators to pass visual choreography directly into new scenes.

Model (maker)Resolution & credits per secondLengthAspect ratiosInputs on DramaCanvas
Wan 3.0 (Alibaba)480p 6 · 720p 12 · 1080p 242–30 s6 ratiosup to 10 reference images, 5 reference videos (each ≤100 MB), 5 reference audio clips
Seedance 2.5480p 14 · 720p 30 · 1080p 744–30 s6 ratiosup to 30 reference images, 10 reference audio clips; no reference video on DramaCanvas
Seedance 2.0480p 10 · 720p 20 · 1080p 504–15 s (720p up to 30 s)6 ratiosup to 9 reference images, 3 reference videos, 3 reference audio
Kling 4 (Kuaishou)720p 7 · 1080p 123–30 s16:9 / 9:16 / 1:1 / 21:9up to 10 reference images
Kling 3.0 (Kuaishou)720p 8 (12 with sound) · 1080p 16 · 4K 403–15 s16:9 / 9:16 / 1:12 images as start + end frame; no reference video/audio
MiniMax H3 (Hailuo)480p 5 · 768p 8 · 1080p 134–30 s (1080p up to 15 s)6 ratios1 image as start frame
Grok Imagine Video 1.5 (xAI)480p 6 · 720p 104–15 s6 ratiosup to 7 reference images

Credits checked on DramaCanvas on 2026-11-04.

Select Seedance 2.5 when an ensemble scene requires broad costume references and budget is secondary. Choose Wan 3.0 when your project requires 30-second continuous scenes, video and audio reference support, or lower costs than Seedance. For the cheapest 1080p seconds use Kling 4 (12 credits/s, images only, no video/audio references), which also offers 720p generation at 7 credits per second (≈ $1.89 for 10 seconds), while Kling 3.0 provides a 4K resolution option at 40 credits per second.

How do you make your first Wan 3.0 video on DramaCanvas?

To make your first Wan 3.0 video on DramaCanvas, add a video node, choose Wan 3.0 in the model picker, set your parameters, write a prompt, and generate at 12 credits per second for 720p.

Step 1: Add a video node and choose Wan 3.0

Click Add node in the toolbar at the bottom of the canvas and choose Video. In the model picker under the node, find Wan 3.0 (Alibaba).

Step 2: Set the resolution, aspect ratio and length

Click the settings summary under the input box (it reads something like "720P · 16:9 · 5s") to open the video settings. Set Resolution to 720P to start (or 1080P for production), pick the aspect ratio under Size (9:16 for vertical short video, 16:9 for landscape), and set Seconds between 2 and 30.

Step 3 (optional): Connect images or videos as references

To animate an image or provide reference materials, add them to the canvas and drag a line from the connection point on the right of the image or video node to the video node. On DramaCanvas, Wan 3.0 accepts up to 10 reference images, 5 reference videos (each ≤100 MB), and 5 reference audio clips. Choose an image under Start frame in Parameters to animate it.

Step 4: Write the prompt, check the credits, generate

Paste one of the prompts below into the input box and adapt it. The generate button shows how many credits this run will cost; check it, then click. When it's done, select the video node and click Download in its toolbar to save it.

What is the official Wan 3.0 prompt structure for production video?

The official Wan 3.0 prompt formula published in the [Alibaba Cloud Model Studio prompt guide](https://www.alibabacloud.com/help/en/model-studio/wan3-video-generation-prompt-guide) organizes narrative video into 7 components: overall description, reference material citations, timestamped shot breakdowns, spoken dialogue, sound effects or background music, style or mood, and negative prompts.

While a single sentence produces basic movement, multi-shot 30-second sequences benefit from explicit timestamps and reference citations to keep character staging and camera trajectory consistent.

Prompt
Prompt = [Overall description]
       + [Reference material citation: Image N / Video N / Audio N]
       + [Shot N (start-end seconds): Subject + Scene + Motion + Camera control]
       + [Dialogue: Character says: "Line"]
       + [Sound effect / BGM]
       + [Style / Mood]
       + [Negative prompt list]

The table below contrasts an unfocused prompt against an effective Wan 3.0 prompt structure.

Prompt versionExample prompt contentWhy it succeeds or fails
Ineffective prompt"A detective walking down a dark street in the rain with dramatic lighting."Lacks timestamps, omits lens specifications, provides no asset citations, and leaves audio generation unguided.
Effective prompt"Shot 1 (00:00-00:05): 35mm wide lens. Detective Hayes (Image 1) walks across rain-slicked cobblestones. Shot 2 (00:05-00:10): 85mm close-up. He mutters: 'Too quiet.' Sound: steady rainfall, distant foghorn. Mood: 1940s film noir, amber lighting."Defines timestamps, lens focal lengths, reference tags, spoken dialogue, sound effects, and lighting controls.

What are 5 copyable Wan 3.0 prompt templates for production?

These 5 copyable Wan 3.0 prompt templates provide production-ready structures for narrative period drama, high-speed action tracking, commercial advertising, motion transfer, and vertical short drama dialogue.

1. Multi-Shot Narrative Drama

Use this template for dialogue scenes requiring consistent blocking and synchronized audio.

Prompt
Period drama sequence in an 18th-century library. Lord Malvern (referencing Image 1) confronts Julian (referencing Image 2) across an oak table. 15 seconds duration.

Shot 1 (00:00-00:05): Wide shot, 28mm lens. Lord Malvern stands by hearth holding an unsealed envelope.

Shot 2 (00:05-00:10): Medium shot, 50mm lens. Julian enters through oak doors. Lord Malvern speaks with quiet tension: "You should not have returned to the estate."

Shot 3 (00:10-00:15): Close-up, 85mm lens. Julian replies: "The inheritance belongs to the county now."

Sound design: Crackling fireplace wood, heavy window rain, clear spoken dialogue. Mood: Somber British period drama, warm amber key light, dark shadow falloff.

2. High-Speed Action Tracking

Use this multi-shot sequence to direct camera moves and orchestral synchronization based on the [Alibaba Cloud text-to-video guide](https://www.alibabacloud.com/help/en/model-studio/text-to-video-guide).

Prompt
A 15-second wildlife tracking sequence across savanna grasslands during golden hour.

Shot 1 (00:00-00:05): Extreme wide shot. Camera glides forward across savanna while tilting upward as a cheetah enters frame left on the path of a fleeing antelope.

Shot 2 (00:05-00:10): Low tracking shot parallel to the cheetah on the right. Grassy background sweeps past rapidly while subject stays left of center.

Shot 3 (00:10-00:15): Forward push-in at ground level, narrowing focus as the cheetah extends forelimbs toward the antelope's hindquarters.

Sound design: Crescendoing orchestral score, rhythmic drum cadence, paw thuds on dry soil, rushing wind. Final second cuts to isolated breathing.

3. Commercial Brand TVC

Use this commercial structure to translate product aesthetics and color palettes into promotional video.

Prompt
A 15-second warm-toned commercial brand film for an artisanal café, referencing barista in Image 1 and color palette in Image 2.

Shot 1 (00:00-00:05): Macro close-up shot, 100mm lens. Steaming water pours from brass kettle onto ground coffee in ceramic dripper. Water droplets catch morning window light.

Shot 2 (00:05-00:10): Medium tracking shot along a timber counter. A barista in an indigo apron slides a warm ceramic mug toward an unseen customer beside a sunlit window.

Shot 3 (00:10-00:15): Close-up portrait, 85mm lens. A smiling patron wraps hands around the ceramic cup, takes an appreciative sip, and looks toward the autumn street.

Sound design: Gentle water pouring hiss, ceramic mug clink on wood, acoustic guitar melody, ambient café murmurs. Mood: Warm golden tones.

4. Motion Transfer and Character Reference

Use this setup to replicate choreography and camera trajectory from an existing video while applying new character assets.

Prompt
Reference-to-video motion transfer: Replicate camera movement, sword strike trajectory, and footwork from Video 1, casting armored warrior from Image 1 as performer.

Action description: Armored warrior executes 360-degree spinning broadsword parry against two incoming spear attacks in stone courtyard. Maintain velocity curves and low whip-pan from Video 1.

Shot parameters: 10 seconds duration, 1080p resolution, 16:9 widescreen ratio. Armor engraving and face scars match Image 1.

Sound design: Heavy metal blade clashes, rain on steel plate, combat vocal grunts. Mood: Gritty dark fantasy, desaturated slate tones with bright weapon sparks.

5. Vertical 9:16 Short Drama Dialogue

Use this template for two-character dramatic dialogue formatted for mobile screens.

Prompt
Vertical 9:16 short drama scene in a corporate boardroom at night. Elena (referencing Image 1) confronts Marcus (referencing Image 2) across a glass conference table. 10 seconds duration.

Shot 1 (00:00-00:05): Medium close-up, vertical framing, 50mm lens. Elena stands under cool fluorescent lights, drops a signed contract onto the glass, and says firmly: "The board voted ten minutes ago."

Shot 2 (00:05-00:10): Close-up, 85mm lens. Marcus leans back into his leather chair, stares up with narrowed eyes, and answers quietly: "They don't own the voting shares, Elena."

Sound design: Sharp paper slap against glass table, low hum of office air conditioning, distant city sirens, clear synchronized dialogue. Mood: High-stakes corporate thriller, cool blue rim light with sharp shadows.

What are the operational limitations of Wan 3.0 on DramaCanvas?

Wan 3.0 on DramaCanvas caps inputs at 10 reference images, 5 reference videos (each ≤100 MB), and 5 reference audio clips, with an output duration between 2 and 30 seconds per generation.

First, file size and video reference counts have clear thresholds. While you can connect up to 5 reference videos on the canvas, each individual video file must not exceed 100 MB. Similarly, reference images are limited to 10 files per node. When working with larger video assets, trim or compress clips before uploading them to the canvas.

Second, output resolution caps at 1080p. While Wan 3.0 provides 480p, 720p, and 1080p tiers at 6, 12, and 24 credits per second respectively, it does not support 4K generation. If your production pipeline requires 4K masters, Kling 3.0 provides 4K output at 40 credits per second.

Third, Model Studio features differ from DramaCanvas canvas tools. On Alibaba Cloud Model Studio, Wan 3.0 supports document and spreadsheet ingestion (such as PPT, PDF, DOC, and XLS) as well as prompt-based video instruction editing. On DramaCanvas, the model is integrated specifically for generative video workflows using image, video, and audio reference nodes.

Finally, credit expenditure scales with length and resolution. A full 30-second 1080p sequence costs 720 credits (≈ $19.44). Testing framing and character references on a 5-second 720p draft first costs 60 credits (≈ $1.62), allowing you to verify visual continuity before generating a final 30-second sequence.

Frequently asked questions

Can Wan 3.0 accept reference video files on DramaCanvas?

Yes, Wan 3.0 accepts up to 5 reference video clips (each ≤100 MB) directly on DramaCanvas. This allows you to guide camera paths, actor pacing, and physical action using existing video footage. In comparison, Seedance 2.5 accepts no reference video on DramaCanvas, while Seedance 2.0 supports up to 3 reference videos.

How much does a 30-second 1080p Wan 3.0 video cost on DramaCanvas?

A 30-second 1080p Wan 3.0 video costs 720 credits, which equals approximately $19.44 on the Standard plan ($29.90 for 1,100 credits at ≈ $0.027 per credit). In comparison, rendering a 30-second 1080p video on Seedance 2.5 costs 2,220 credits (≈ $59.94), making Wan 3.0 67.6% cheaper than Seedance 2.5 for long renders. Failed generations on DramaCanvas are refunded automatically to your balance. Note that for the cheapest 1080p seconds overall, Kling 4 costs 12 credits per second (images only, no video/audio references).

Should you choose Wan 3.0 or Seedance 2.5 for short drama?

Choose Wan 3.0 when you need continuous 30-second scenes, reference video and audio support, or lower costs than Seedance at 24 credits per second for 1080p. For the cheapest 1080p seconds use Kling 4 (12 credits/s, images only, no video/audio references). Choose Seedance 2.5 when your production requires up to 30 reference images for intricate character, wardrobe, and prop consistency. Seedance 2.5 costs 74 credits per second at 1080p (≈ $19.98 for 10 seconds), whereas Wan 3.0 costs 24 credits per second (≈ $6.48 for 10 seconds) and accepts up to 5 reference videos.

What happens if a Wan 3.0 video generation fails on DramaCanvas?

Credits for failed generations are refunded automatically to your DramaCanvas balance. Common causes of generation errors include attaching reference video files that exceed 100 MB each or connecting more than 5 reference videos. Once you verify your files match the input limits, you can generate again without losing credits.

To begin working with Wan 3.0, start by setting your video node to 720p for 5 seconds (60 credits, ≈ $1.62) to verify camera framing and reference asset alignment before scaling up to full 30-second 1080p takes. Create a project on [DramaCanvas](https://dramacanva.com), add a video node, and test your first narrative scene on the canvas.