Qwen
Wan 2.6
The wan 2.6 video model by Alibaba delivers high-fidelity cinematic output with superior temporal consistency. Grounded in a Causal Diffusion Transformer, it excels at complex physics and precise motion control for professional video production.

Modalities

Input: TextInput: Image
Output: Video

Input

Output

API Usage Examples
curl --request POST "https://gptproto.com/api/v3/alibaba/wan-2.6/image-to-video" \
  --header "Authorization: Bearer $GPTPROTO_API_KEY" \
  --header "Content-Type: application/json" \
  --data '{
    "prompt": "A tiny origami fox sailing a teacup across a moonlit puddle",
    "negative_prompt": "",
    "image": "",
    "resolution": "720P",
    "duration": 5,
    "prompt_extend": false,
    "audio": "",
    "shot_type": "single",
    "seed": 1
  }'
Wan 2.6 pricing

Start from the cost of a single sample and pick a testing budget. GPTProto rates are 10% below list price.

GPTProto · Price est.

Estimated from the rate card. Final charges may vary.
10% off
Cost per request$0.6750$0.7500

Top up

GPTProto vs official pricing.
Requests
You pay
10% off
$100
You receive$100.00

Save$11.00 (10%)vs Qwen official

Related Models
All Models
ModelResolutionInput → Output
Wan 2.6Current
$0.09 per second720p · 1080p
Input: TextInput: Image
Output: Video
Seedance 2.5 (Build 260628)
—$0.11 per second480p · 720p
Input: TextInput: Image
Output: Video
Kling v3.0 4K
$0.34 per second4k
Input: TextInput: Image
Output: Video
Seedance 2.0 Mini (Build 260615)
—$0.02 per second480p · 720p
Input: TextInput: Image
Output: Video
Kling v3 Omni 4K
$0.34 per second4k
Input: TextInput: ImageInput: Video
Output: Video
Seedance 2.0 Fast (Build 260128)
—$0.04 per second480p · 720p
Input: TextInput: Image
Output: Video
Vidu 2.0
$0.02 per second720p · 1080p · more
Input: Image
Output: Video
Kling v3 Omni Pro
$0.09 per second—
Input: TextInput: ImageInput: Video
Output: Video
Vidu Q3 Turbo
$0.03 per second540p · 720p · 1080p
Input: TextInput: Image
Output: Video
Vidu Q3 Pro
$0.04 per second540p · 720p · 1080p
Input: TextInput: Image
Output: Video
Video Watermark Remover
—$0.05 per time—
Input: Video
Output: Video
Veo 3.1 Fast Generate Preview
—$1.20 per time—
Input: TextInput: ImageInput: Video
Output: Video
Veo 3.1 Generate Preview
—$3.20 per time—
Input: TextInput: ImageInput: Video
Output: Video
Hailuo 2.3 Fast
$0.03 per second1080p · more
Input: Image
Output: Video
Hailuo 2.3 Pro
$0.44 per time—
Input: TextInput: Image
Output: Video
Hailuo 2.3 Standard
$0.04 per second—
Input: TextInput: Image
Output: Video
Wan 2.2 Plus
$0.09 per time1K · more
Input: TextInput: Image
Output: Video
Veo 3.1
—$0.50 per time—
Input: TextInput: Image
Output: Video
Sora 2 Pro
—$0.30 per second720p · 1080p
Input: TextInput: Image
Output: Video
Sora 2
—$0.10 per second720p
Input: TextInput: Image
Output: Video
Wan 2.5
$0.04 per second480p · 720p · 1080p
Input: TextInput: Image
Output: ImageOutput: Video
Higgsfield Turbo
$0.28 per time—
Input: Image
Output: Video
Higgsfield Lite
$0.09 per time—
Input: Image
Output: Video
Higgsfield Standard
$0.39 per time—
Input: Image
Output: Video

Core wan 2.6 video Features

Technical highlights that set the wan 2.6 video model apart from other diffusion-based generators.

Causal Diffusion Transformer

Utilizes T2V-Turbo architecture to ensure that objects in the wan 2.6 video output remain consistent without morphing.

Native I2V Adherence

Maintains strict pixel-level adherence to your starting frame, preventing jumps common in other video models.

Realistic Physics Simulation

The wan 2.6 video engine excels at fluid dynamics, producing realistic water splashes and hair movement.

Efficient 3D VAE Compression

Employs a 3D VAE that compresses video data significantly for faster inference times while maintaining 1080p quality.

wan 2.6 video Frequently Asked Questions

Find answers about wan 2.6 video technical specs, API pricing, and how to achieve the best temporal consistency in your AI video projects.

How does wan 2.6 video ensure consistent motion?

The wan 2.6 video model uses a Causal Diffusion Transformer (T2V-Turbo) architecture. This technical approach prevents objects from morphing or shifting their identity mid-clip, ensuring that a 10-second video maintains the same character and environment details from the first frame to the last.

What is the max resolution for wan video output?

Native generation for wan is 720p, which can be upscaled to high-fidelity 1080p. The model supports various aspect ratios including 16:9, 9:16, and 1:1, making it versatile for both cinematic film production and social media content like TikTok or Instagram Reels.

Can I use wan for Image-to-Video (I2V) tasks?

Yes, wan 2.6 video offers robust Image-to-Video (I2V) features. It provides strict adherence to the reference image, ensuring the generated motion starts exactly from the provided pixels. This is ideal for animating game assets or maintaining character consistency across different shots.

How long does a wan 2.6 video generation take?

Generation typically takes 20 to 30 seconds of processing time for every one second of video produced. A standard 5-second wan clip usually finishes within 2 to 3 minutes, depending on the chosen quality tier and current server load on the GPTProto platform.

Is my data used to train the wan model?

Data privacy is a priority at GPTProto. Prompts and videos generated using the wan 2.6 video API are not used for model training. We offer an opt-out policy for all enterprise traffic to ensure your creative assets and proprietary prompts remain private and secure.

How does wan 2.6 video pricing work?

Standard 720p quality is priced at $0.08 per second, while Pro 1080p quality is $0.15 per second. Image-to-Video tasks are billed at the same rate based on the output duration. We also offer a 20% discount for batch generations of over 50 concurrent clips.

Related Articles

Guides, comparisons, and updates related to this model.

All Articles