Native Audio Generation
Generates synchronized audio — including dialogue, sound effects, and lip movements — alongside video in a single pass, eliminating the need for separate dubbing tools.
Wan
Wan 2.6
Wan 2.6 is a video generation model developed by Alibaba that produces 1080p video at 24 frames per second for clips up to 15 seconds in length. It accepts text, image, or video as input and generates complete video output — including synchronized audio, dialogue, sound effects, and lip movements — in a single generation pass, without requiring a separate audio pipeline. The model was trained with a cutoff of December 2025 and is available as an open-source release. Wan 2.6 is designed for creators, marketers, and developers who need publish-ready video content without extensive post-production work. Its distinguishing features include multi-shot narrative handling across a single clip, character consistency when using reference figures, physics simulation for realistic motion, and style transfer from reference videos. These capabilities make it suited for use cases such as social media content, product demonstrations, commercials, and short narrative sequences.
December 2025
1,000 context
N/A output
Native Audio Generation
Image-to-Video
Multi-Shot Narratives
Character Consistency
Physics Simulation
Video Style Transfer
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.
1,000
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.
Video
Text
Image
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 video generation model developed by Alibaba that produces 1080p video at 24 frames per second for clips up to 15 seconds in length. It accepts text, image, or video as input and generates complete video output — including synchronized audio, dialogue, sound effects, and lip movements — in a single generation pass, without requiring a separate audio pipeline. The model was trained with a cutoff of December 2025 and is available as an open-source release.
Wan 2.6 is designed for creators, marketers, and developers who need publish-ready video content without extensive post-production work. Its distinguishing features include multi-shot narrative handling across a single clip, character consistency when using reference figures, physics simulation for realistic motion, and style transfer from reference videos. These capabilities make it suited for use cases such as social media content, product demonstrations, commercials, and short narrative sequences.
Capabilities
What Wan 2.6 supports
Image-to-Video
Accepts a source image as input and animates it into a 1080p video clip up to 15 seconds long.
Multi-Shot Narratives
Handles camera transitions and scene segmentation across a single 15-second clip based on a text description of the full scene.
Character Consistency
Places reference figures into generated scenes while maintaining consistent appearance, voice, and interaction throughout the clip.
Physics Simulation
Renders gravity, fluid dynamics, and complex object interactions to produce realistic motion in action and product shots.
Video Style Transfer
Locks onto motion from a reference video so the performance is preserved while the visual environment is replaced.
Seed Control
Accepts a seed value as input to enable reproducible generation outputs across multiple runs.
Text Rendering
Supports rendering legible text within generated video frames, useful for graphics, titles, and on-screen labels.
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.
Resolution
SelectDuration
SelectShot Type
Toggle GroupNegative 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 228 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 1,000 tokens, which applies to the text prompt input used to guide video generation.
What is the maximum video length and resolution Wan 2.6 can produce?
Wan 2.6 generates video at up to 1080p resolution and 24 frames per second, with a maximum clip length of 15 seconds.
Does Wan 2.6 require a separate tool to add audio to generated videos?
No. Wan 2.6 generates native audio — including synchronized dialogue, sound effects, and lip movements — as part of the same generation pass that produces the video.
What input types does Wan 2.6 accept?
Wan 2.6 accepts text prompts, image URLs, selection inputs (such as style or mode options), toggle group settings, and a seed value for reproducibility.
What is the training data cutoff for Wan 2.6?
The model's training data has a cutoff of December 2025.
Is Wan 2.6 open source?
Yes. Wan 2.6 is released as an open-source model by Alibaba.
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