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Wan 3.0
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Alibaba Wan3.0 is an all-in-one AI video model for text-to-video, frame-guided image-to-video, multimodal reference generation, document-to-video, and video editing. It creates 2–30-second clips at up to 1080P and 30 fps, with audio enabled or disabled per request.

模態

輸入: 文字輸入: 圖像
輸出: 影片

Wan 3.0 定價

先從單次樣本成本開始,再選擇測試預算。GPTProto 費率比標價低 10%。

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輸入: 文字輸入: 圖像
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$0.04 per second480p · 720p · 1080p
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Higgsfield Standard
$0.39 / 每次—
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輸出: 影片

Wan3.0 API for 30-Second Multimodal Video Generation

Access Alibaba’s Wan3.0 API through GPTProto and use one account balance across Wan and other video models. Build prompt-only, first-frame, first-and-last-frame, reference-led, document-to-video, and webpage-to-video workflows without maintaining a separate provider account for every model in your pipeline.

Multimodal Input, One Model

Start from text, a first frame, first and last frames, up to 10 reference images, five reference videos, five audio clips, a document, or a public webpage.

Up to 30 Seconds at 1080P

Generate 2–30-second video at 480P, 720P, or 1080P and 30 fps. Use smart duration when the model should choose clip length from your prompt and references.

Reference-Led Consistency

Guide characters, products, locations, props, and visual style with ordered references. Wan3.0 is designed to carry recognizable details across shots for branded and story-led video.

Audio and Video Revision

Generate audio by default, or disable it without changing the generation price. Revise visuals, plot, and dialogue through Wan3.0’s editing workflow instead of rebuilding the entire sequence.

What Is Wan3.0?

Wan3.0 is Alibaba’s preview all-in-one video generation model. Instead of exposing a separate model for every creation path, the official wan3.0-video endpoint supports text-to-video, first-frame image-to-video, first-and-last-frame video, multimodal reference-to-video, document or webpage input, and video revision workflows.

The model can return 2–30 seconds of video in one generation. You can request 480P, 720P, or 1080P output at 30 fps, select a standard aspect ratio, or let the model adapt the ratio to the supplied media. Audio is enabled by default, while smart duration and prompt extension can help turn a short brief into a more complete sequence.

Wan3.0 is especially relevant when a video must preserve more than a general mood. Ordered references can define a character, product, location, camera language, voice, or musical direction. File and public-link inputs also let teams turn a product deck, report, article, or training document into a structured video brief.

Spec Wan3.0 API Details
Provider Alibaba Cloud Model Studio
Official status Preview
Official model ID wan3.0-video
GPTProto model string wan-3.0
Generation modes Text-to-video, first-frame, first-and-last-frame, reference-to-video, file-to-video, webpage-to-video
Output duration 2–30 seconds; -1 enables smart duration
Output resolution 480P, 720P, or 1080P
Frame rate 30 fps
Aspect ratios Adaptive, 16:9, 4:3, 1:1, 3:4, or 9:16
Reference limits Up to 10 images, 5 video clips, and 5 audio clips; total reference video and audio duration is capped separately at 15 seconds
File input One DOC/DOCX, XLS/XLSX, PPT/PPTX, PDF, TXT, KEY, Pages, Numbers, or Markdown file; up to 100MB and 50 pages
Public webpage input One publicly accessible HTTP or HTTPS page that does not require login
Prompt limit 20,000 characters; Chinese and English supported
Audio Enabled by default; can be disabled without changing the official generation rate
Watermark parameter Disabled by default in Alibaba’s API; verify the live GPTProto implementation before making a blanket output-policy claim

Which Wan3.0 API Input Mode Should You Use?

Choosing the correct mode matters because frame-control inputs and rich reference inputs are mutually exclusive in the official API. Do not combine first_frame or last_frame with reference images, reference videos, reference audio, a file, or a webpage in the same request.

Input Mode Use It When Practical Example
Text-to-video You want a new scene with no fixed visual asset Generate several campaign concepts from structured shot prompts
First-frame video The opening composition or product image is already approved Animate a catalog hero image while preserving its initial framing
First-and-last-frame video Both endpoints of the motion or transformation matter Move from a closed package to a fully assembled product reveal
Reference-to-video Identity, motion, voice, music, setting, or style must come from source assets Keep the same product, spokesperson, location, and audio direction across a branded clip
File or webpage to video The source idea lives in a deck, report, product page, article, or training document Turn a product PPT into a launch video or a public article into a narrated visual summary

Wan3.0 API for Ecommerce and Batch Video Workflows

Wan3.0 can reduce the gap between an approved commerce asset and a usable video variation. For a single SKU, start with an approved hero image when exact opening composition matters. Use reference mode when the product must remain recognizable across several shots, or supply a product presentation when features, positioning, and scene order already exist in a document.

For batch video generation, build a template for product data, references, ratio, duration, camera, audio, and ending CTA. Submit each variation asynchronously, store its task ID, and handle status separately from submission to reduce duplicate jobs. One approved source set can feed 9:16 social, 1:1 marketplace, and 16:9 product-page versions. Save successful outputs to your own storage.

Wan3.0 vs Seedance 2.5 vs MiniMax H3

These models overlap, but their strongest use cases are different. The best choice depends on required duration, reference volume, output resolution, document input, editing controls, and the cost of a finished usable clip—not only the advertised price per second.

Decision Factor Wan3.0 Seedance 2.5 MiniMax H3
Maximum single generation Up to 30 seconds Up to 30 seconds Up to 15 seconds
Published reference capacity Up to 10 images, 5 videos, and 5 audio clips Up to 30 images, 10 videos, and 10 audio clips Up to 9 images, 3 videos, and 3 audio clips; 12 mixed files total
Highest documented API resolution 1080P Verify the resolution exposed by the selected endpoint 2K
Document or public webpage input Yes Not listed as a core input in ByteDance’s official launch overview Not listed in MiniMax’s current API input table
Audio Optional audio output Joint audio-video generation Native stereo audio
Editing emphasis Visual, plot, and dialogue revision; video extension Timestamp-level audiovisual editing, green screen, camera perspective, and multi-round extension Multimodal reference generation, editing, and motion transfer
Best fit Long multimodal or document-led videos with a clearly documented 1080P API path Reference-heavy 30-second storytelling that needs the largest published asset set Shorter 2K clips, native stereo sound, and workflows that value an open model ecosystem

Choose Wan3.0 over Seedance 2.5 when document or public-webpage input and a documented 480P-to-1080P ladder matter more than maximum reference volume. Choose MiniMax H3 when a 15-second ceiling is sufficient and 2K output or native stereo audio matters more. Compare cost using the same prompt, assets, duration, ratio, and acceptance criteria, including retries and rejected generations.

How to Write Better Wan3.0 Prompts

Use a prompt structure that separates the subject from the timeline and camera direction:

Prompt formula: subject and source references + scene goal + timed actions or story beats + camera movement + lighting and visual style + audio direction + details to preserve + details to avoid + final frame or CTA

Ecommerce Product Video Prompt

Use Image 1 as the product reference and Image 2 as the lighting reference. Create a 12-second vertical launch video for a matte-black wireless speaker. Begin with a macro grille shot, pull back as the speaker rotates, then show bass vibrations moving nearby droplets. Preserve the logo, controls, proportions, and finish. Cool edge lighting, restrained camera motion, low electronic ambience, no extra text or deformation.

Document-to-Video Prompt

Turn the supplied product presentation into a 20-second 16:9 launch film. Arrange its three main benefits as problem, feature demonstration, and final value statement. Preserve documented colors and materials. Use clean studio lighting, measured camera moves, concise voiceover, and no unverified claims. End with the product centered against the brand background.

Current Wan3.0 Limitations to Plan Around

Alibaba states that audio texture and on-screen text rendering accuracy are still improving. For brand-safe output, add titles, legal copy, prices, and small labels in post-production instead of asking the model to render them perfectly inside the scene. Review dialogue and music closely before publishing, especially when the final asset will run as a paid advertisement.

First-frame and first-and-last-frame jobs cannot be mixed with reference, file, or webpage inputs. Validate rich media before submission, save task IDs, make retries idempotent, and store completed files promptly.

Wan3.0 API FAQ

What is the Wan3.0 API?

The Wan3.0 API gives applications access to Alibaba’s all-in-one video generation model. It supports text-to-video, first-frame and first-and-last-frame image-to-video, multimodal reference generation, document or webpage input, and video revision workflows. On GPTProto, the model is accessed through the same account balance used for other supported AI models.

Does the Wan3.0 API support text-to-video and image-to-video?

Yes. Prompt-only requests generate video from text. A first_frame image fixes the opening frame, while first_frame plus last_frame fixes both endpoints. Reference images use a separate reference-to-video mode and cannot be combined with first-frame or last-frame inputs in the same official request.

What duration and resolution does Wan3.0 support?

Wan3.0 supports 2–30-second outputs without a video reference, with 480P, 720P, and 1080P resolution tiers at 30 fps. The API also supports smart duration, which lets the model recommend a clip length from the prompt and supplied media. When video references are used, input and output duration together cannot exceed 30 seconds.

Can Wan3.0 create a video from a PDF, PPT, spreadsheet, or webpage?

Yes. File-to-video mode accepts one supported office or text file up to 100MB and 50 pages. Webpage mode accepts one public HTTP or HTTPS page that does not require login. A file and webpage cannot be supplied together, and neither can be mixed with first-frame or last-frame mode.

Is Wan3.0 better than Seedance 2.5?

Neither is better for every workflow. Wan3.0 is the clearer choice for document or public-webpage input and has documented 480P, 720P, and 1080P output. Seedance 2.5 publishes a larger reference allowance and more granular audiovisual editing features. Test both with the same prompt, assets, duration, and acceptance checklist.

Wan3.0 or MiniMax H3: which is more cost-effective?

Wan3.0 supports up to 30 seconds and document-led creation, while MiniMax H3 supports up to 15 seconds at 768P or 2K with native stereo sound. Compare the live GPTProto rates for your chosen resolution, then include reference-input charges, retries, and usable-output rate before deciding which model costs less for the finished asset.

How much does the Wan3.0 API cost on GPTProto?

Check the live pricing card on this page because the charge depends on the output resolution and duration selected in the request. For budgeting, calculate the per-second rate multiplied by output length, then include expected iterations. Do not use Alibaba’s direct list price as a substitute for the current GPTProto rate.

What model string should I use for Wan3.0 on GPTProto?

Use the exact model string shown in the API Usage panel on this page: [GPTProto MODEL STRING — TO CONFIRM]. Alibaba’s official model ID is wan3.0-video, but aggregator model strings can differ. Copy the GPTProto value instead of assuming the provider’s native identifier will work.

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