Text-to-Video
Generates video clips from text prompts at up to 1080p resolution and 24 fps, with clips reaching up to 15 seconds in length.
Wan
Wan 2.6
Wan 2.6 is a multimodal AI generation model developed by Alibaba Cloud and released in December 2025. It uses a Mixture-of-Experts architecture with 14 billion total parameters, activating roughly 20% of them during inference. The model supports text-to-video, image-to-video, reference-to-video, and image generation modes, and accepts prompts in both English and Chinese. Video outputs can reach up to 15 seconds at 1080p resolution and 24 frames per second. What distinguishes Wan 2.6 from many generation models is its native audio output — synchronized dialogue, sound effects, and lip-sync are generated alongside video without requiring separate post-production tools. The model also supports multi-shot storytelling from a single prompt, maintaining character consistency across scenes with automatic camera transitions. It is well suited for content creators, marketers, and developers who need high-fidelity video and image output, particularly those aiming to produce publish-ready content with minimal manual editing.
December 2025
2,000 context
N/A output
Text-to-Video
Native Audio Sync
Image-to-Video
Image Generation
Multi-Shot Storytelling
Reference-to-Video
Model Overview
High-signal model metadata in a structured two-column overview table.
Provider
The entity that provides this model.
Wan
Input Context Window
The number of tokens supported by the input context window.
2,000
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
N/A
tokens
Open Source
Whether the model's code is available for public use.
No
Release Date
When the model was first released.
December 2025
Knowledge Cut-off Date
When the model's knowledge was last updated.
December 2025
API Providers
The providers that offer this model. This is not an exhaustive list.
Wan
Modalities
Types of data this model can process.
Image
Text
Video
Audio
What is Wan 2.6
A fuller summary of positioning, capabilities, and source-specific details for Wan 2.6.
Wan 2.6 is a multimodal AI generation model developed by Alibaba Cloud and released in December 2025. It uses a Mixture-of-Experts architecture with 14 billion total parameters, activating roughly 20% of them during inference. The model supports text-to-video, image-to-video, reference-to-video, and image generation modes, and accepts prompts in both English and Chinese. Video outputs can reach up to 15 seconds at 1080p resolution and 24 frames per second.
What distinguishes Wan 2.6 from many generation models is its native audio output — synchronized dialogue, sound effects, and lip-sync are generated alongside video without requiring separate post-production tools. The model also supports multi-shot storytelling from a single prompt, maintaining character consistency across scenes with automatic camera transitions. It is well suited for content creators, marketers, and developers who need high-fidelity video and image output, particularly those aiming to produce publish-ready content with minimal manual editing.
Capabilities
What Wan 2.6 supports
Native Audio Sync
Produces synchronized audio — including dialogue, sound effects, and lip-sync — directly alongside generated video without external dubbing tools.
Image-to-Video
Animates a source image into a video clip while preserving the subject's appearance and style from the input reference.
Image Generation
Supports text-to-image, image-to-image transformation, and image editing at resolutions up to 2048×2048 pixels.
Multi-Shot Storytelling
A single prompt can produce multi-scene narratives with automatic camera transitions and consistent characters across shots.
Reference-to-Video
Accepts uploaded reference images or video to maintain subject appearance, style, and motion consistency across generated outputs.
Prompt Expansion
Optional AI-powered prompt expansion enriches short or simple text inputs to improve output quality and detail.
Seed Control
Accepts a seed value as input, allowing reproducible generation results for iterative creative workflows.
Pricing for Wan 2.6
Primary API pricing shown in the same “quick compare” spirit as the reference page.
Input tokens
N/A
Per million tokens
Output tokens
N/A
Per million tokens
API Access & Providers
Places where this model is available, based on the synced detail-page metadata.
Wan
Configuration & Parameters
The configurable options currently documented for this model.
Width
NumberHeight
NumberNegative Prompt
TextDescription of what to exclude from the video.
Seed
SeedA specific value that is used to guide the 'randomness' of the generation.
Supported Request Parameters
Parameters currently listed by OpenRouter or the local catalog for this model.
Resources & Documentation
Official model cards, release notes, docs, and other references synced from the source page.
Community discussion
What people think about Wan 2.6
Wan 2.6 discussions are most active in r/HiggsfieldAI, r/comfyui, r/IndianArtAI. Top Reddit threads cluster around safety and censorship questions. The strongest match in this snapshot has 225 upvotes and 78 comments.
WAN 2.5 was uncensored on higgsfield, can anyone tell me if WAN 2.6 is still uncensored? Higgsfield no longer gives enough credits to run off even ONE test video.
The "official" WAN 2.5/2.6 page is heavily censored making it useless. Try to describe a G rated scene where people are sunbathing by a pool and it will probably be blocked.
Although WAN2.2's performance is already very close to industrial production capabilities, who wouldn't want to see an even better open-source model emerge? Will there be open-source successors to the WAN series?
hey guys i tried using wan 2.6. multi-cut 15s 1080p it looks quite great lip-sync is what just seems off to me. give you opinions
While the official launch event is scheduled for tomorrow (Dec 17), the model has just gone live on partner platforms like **Fal.ai and Replicate** and the results are stunning.
**The Key Specs:**
**Resolution:** 1080p at 24fps.
**Audio:** Features **built-in** lip-sync and native audio generation(See the cat drumming in the video; it’s generated with the video, not added later).
**Duration:** Up to 15 seconds and **Capabilities:** Text to Video, Image to Video and Video to Video.
**The "Open Source" Question:** Previous versions (Wan 2.1) were open-weights, **but right now,** Wan 2.6 is only available via commercial APIs.
The community is **debating** whether Alibaba will drop the weights at tomorrow's event or if the "Open Source Era" for **SOTA** video models is closing.
**Do you think Alibaba will open-source this tomorrow to undercut Sora/Runway, or are they pivoting to a closed API model?**
**Source: Wan Ai(Official site)**
🔗: https://www.wan-ai.co/wan-2-6
FAQ
Common questions about Wan 2.6
What is the context window for Wan 2.6?
Wan 2.6 has a context window of 2,000 tokens, which applies to text prompt inputs.
What input types does Wan 2.6 accept?
The model accepts image URL arrays, numeric values (such as width and height dimensions), text prompts, and a seed value for reproducible outputs.
What is the training data cutoff for Wan 2.6?
According to the available metadata, Wan 2.6 has a training date of December 2025.
What video resolution and length does Wan 2.6 support?
Wan 2.6 can generate video at up to 1080p resolution and 24 frames per second, with clips up to 15 seconds long.
Does Wan 2.6 support languages other than English?
Yes, Wan 2.6 accepts prompts in both English and Chinese.
What architecture does Wan 2.6 use?
Wan 2.6 uses a Mixture-of-Experts (MoE) architecture with 14 billion total parameters, activating approximately 20% of them during each generation pass for improved inference speed.
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