Wan 2.7 Text to Video
Wan 2.7 is the newest flagship of Alibaba's open Wan video family, available in FluxoKit's browser studio without a provider account. It renders 1080p clips with native text and negative prompts from 89 credits per clip, documented with a capability matrix before anyone else, on plans starting at $14 per month.
Examples
1 generationReal generations with Wan 2.7 Text to Video
Overview
Wan 2.7 is the newest open-family flagship in Alibaba's Wan lineage, and it is new enough that almost nobody has documented it with real parameters and per-clip cost. FluxoKit runs it in the browser with credit pricing and no provider account, which makes this page the capability matrix for a model most search results only mention in passing.
This page documents Wan 2.7's exact contract on FluxoKit: a 1080p default clip, native text and negative prompts, and the per-clip credit cost. The showcase clips are generated through the standard studio and land with the text to video wave; the copy is the parameter and pricing record, not a claim that the reel is already loaded.
What you can build with Wan 2.7
Wan 2.7 is the current top of the open Wan family: general text to video at 1080p with the lineage's clean prompt-following, and the newest motion and detail improvements of the series. For anyone tracking the open-source video frontier, it is the model to test first when a new generation lands.
In the canvas a language model writes the scene, Wan 2.7 animates it at 1080p, and an upscaler or dubbing node finishes the clip. Because it shares its brief with the Wan 2.5 and 2.6 pages, the whole lineage is comparable on one prompt, which is exactly how to judge whether the newest flagship earns adoption.
Where Wan 2.7 earns its credits
Early adopters and open-model teams use Wan 2.7 to work on the newest lineage without waiting for third-party documentation: 1080p clips at a flat 89 credits, with the parameters and cost stated up front. Every generation prints its exact cost, so evaluating the newest flagship against 2.5 and 2.6 is a visible, per-clip comparison.
Wan 2.7 vs Wan 2.6, Wan 2.5, and Sora 2
Wan 2.6 is the prior generation at the same flat rate. Wan 2.7 is the newest flagship; run one prompt on both pages to see whether the latest lineage is worth adopting now.
Wan 2.5 is the value baseline with a cheaper 480p and 720p floor. Wan 2.7 is the top of the lineage; pick by whether you want the newest quality or the lowest entry cost.
Sora 2 leads on native audio and prompt comprehension at a much higher rate. Wan 2.7 is the open-family budget flagship; choose by whether the clip needs built-in sound or minimum cost.
Capabilities
Output type
Video
Audio support
Yes
Limits
Credits per generation
89
Parameters and inputs
Each field below shows what the model accepts and the limits to apply.
Parameters
Duration
duration
- Required
- No
- Default
- 5
Options
- 2 (2)
- 3 (3)
- 4 (4)
- 5 (5)
- 6 (6)
- 7 (7)
- 8 (8)
- 9 (9)
- 10 (10)
- 11
Frequently asked questions
›How much does Wan 2.7 cost per clip?
Wan 2.7 costs 89 credits for a 1080p 5 second clip on FluxoKit. Plans start at $14 per month and every generation shows its exact credit cost in your history, with no provider billing account to manage.
›What is new in Wan 2.7?
It is the newest flagship of the open Wan family, with the lineage's latest motion and detail improvements at a flat 1080p rate. Because it shares its brief with the 2.5 and 2.6 pages, the progression is directly comparable on one prompt.
›Do I need a provider account to use Wan 2.7?
No. FluxoKit runs the open Wan model in the browser under one subscription with credit based pricing, no weights or GPU setup, plus a 30-day money-back guarantee with no lock-in.
›Wan 2.7 or Wan 2.6: which should I use?
Wan 2.7 is the newest flagship; Wan 2.6 is the proven prior generation at the same rate. Running one prompt on both pages shows whether the latest lineage earns adoption for your work today.
Start creating
Run Wan 2.7 Text to Video in your browser. No API key, no provider account.
The newest open-family flagship, documented. One studio, more than 100 AI models.
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