Wan
Wan 2.7
Seedance 2.0 generates Hollywood-grade cinematic videos from text prompts with native audio-visual synchronization, director-level camera and lighting control, and exceptional motion stability. Built on Seed's unified multimodal architecture, it leads on instruction adherence, motion quality, and visual aesthetics.
Unknown
50K context
10,000 tokens output
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.
50K
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
10,000 tokens
tokens
Open Source
Whether the model's code is available for public use.
No
Release Date
When the model was first released.
Unknown
Knowledge Cut-off Date
When the model's knowledge was last updated.
Unknown
API Providers
The providers that offer this model. This is not an exhaustive list.
Wan
Modalities
Types of data this model can process.
Video
Pricing for Wan 2.7
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
Price Comparison
Additional usage-cost dimensions synced into the project for this model.
maxResponseSize
10,000 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.
Image
Image URLStart frame image to animate, or a reference image to guide the scene.
Last Image
Image URLEnd frame image to define where the clip finishes.
Audio
Audio URLAudio track to synchronize with the generated video.
Videos
videoUrlArrayReference videos for character/style guidance. Refer to them as "Video 1", "Video 2", etc. in the prompt.
Reference Images
Image URL ArrayReference images (max 5). Combined with videos, total must be 1-5. Referred to as "Image N" continuing after video numbering.
Negative Prompt
PromptDescribe what you want to exclude from the output.
Resolution
SelectAspect Ratio
SelectDuration
SelectPrompt Expansion
SelectWhen enabled, the model automatically enriches and optimizes your prompt before generation.
Seed
SeedSupported Request Parameters
Parameters currently listed by OpenRouter or the local catalog for this model.
Community discussion
What people think about Wan 2.7
Wan 2.7 discussions are most active in r/StableDiffusion, r/comfyui_elite, r/comfyui. Top Reddit threads cluster around benchmark and model-comparison threads, safety and censorship questions.
The strongest match in this snapshot has 72 upvotes and 69 comments.
I really like it. Expensive, but I think it has a TON of potential.
Its shit tbh, compared to other closed source models.
??
Some days it's the best model there is, 15s video, uncensored, generates before the count down timer is done, usually good quality results.
Then other days you can sink 20 dollars into it and not get one video...
6 months ago, i made a post asking if wan 2.2 was likely around about the best we would ever get for local video generation. With future video gen models being iterative or side grades like ltx-2 (adding sound but reducing physics understanding). Overwhelming the response was no, and i was heartened. "best for the next 2 months maby" or "at the rate local video is going, wan 2.2 will be a dinosaur before the end of the year"
Has the situation changed?
Firstly, six months on whilst there are a bunch of model's on the horizon or that have been released, I consider those side grades. That next step up, clear successor and wan 2.2 dethroner has not only not come out, its not even talked about.
Secondly, there seems to be a clear move towards cloud and away from local gen, wan2.5, wan2.6 and now wan 2.7 has all skipped local generation. This is a worrying trend, as any of those would be that clear next step up for us in the community!
Thirdly, video gen as an investable space seems to be struggling. Sora just shut down because it was economically unviable. I dont know if thats a possitive or a negative for local video gen hopes, but im sure it will have an impact one way or another? Maby less research and development in video models?
What are your thoughts am i being too pessimistic? It seems to me that the conversation has moved from will the tech ever get better on local hardware, to the techs there but the will to release the weights is not. Do you think there is reason to be optimistic still for the future of local video gen, id love to hear your thoughts?
Also id like to say that im coming at this from the perspective of someone who REALLY wants there to be more open weights releases. So please don't downvote me into oblivion, part of the post is playing devils advocate.
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