Wan 2.5 Preview API

alibaba/wan2.5-t2i-preview
Wan 2.5 Preview excels at interpreting complex prompts with precise semantic compliance, ensuring outputs closely match creative intent.
Output
$0.039 / gen
Released
Nov 13, 2025

Overview

Wan 2.5 Preview API Overview

Wan 2.5 Preview is the latest iteration of the Wan series text-to-image models, delivering high-fidelity image generation from textual prompts. This release removes previous restrictions on image side length, enabling flexible and unrestricted pixel dimension choices within a defined pixel area. Wan 2.5 combines advanced AI architecture with enhanced pixel-level control to produce diverse and highly detailed visuals.

Technical Specifications

  • Model Type: Text-to-Image generative model
  • Architecture: Advanced diffusion-based generative network
  • Input: Text prompts in natural language
  • Output: Variable resolution images, any dimension within supported pixel range
  • Training Data: Diverse multimodal dataset including art, photos, and digital illustrations
  • Languages Supported: Primarily English, adaptable to other languages with tokenization

Performance Benchmarks

  • FID Score (Fréchet Inception Distance): 13.5 on standard image generation benchmarks, indicating high realism and quality.
  • Inference Speed: Average generation time of 4 seconds per 512x512 image on modern GPUs.
  • Memory Usage: Optimized to run on 12GB and above GPU VRAM configurations.
  • Resolution Support: Successfully generates images up to 4K and beyond without quality degradation.
  • Diversity: Generates a wide range of unique images for the same prompt, supporting creative exploration.

Wan 2.5 Preview API Pricing 

  • $0.039 / image

Key Features

  • High-Quality Detail: Produces crisp and intricate image features across various styles and subject matters.
  • Flexible Style Adaptation: Capable of generating artistic, realistic, or stylized images based on prompt context.
  • Fast Inference: Efficient model design enables quicker image generation compared to previous versions.
  • Scalable Resolution: Suitable for small digital thumbnails up to large-scale prints and presentations.

Comparison with Other Models

vs Stable Diffusion: Wan 2.5 is optimized for high-resolution images with fast inference and consistent quality at large sizes, while Stable Diffusion sometimes experiences quality degradation when scaling up.

vs DALL·E 3: Wan 2.5 Preview provides flexible dimension control enabling users to adapt output sizes freely, making it particularly advantageous for specialized design and print applications.

vs Midjourney: Wan 2.5 Preview is more versatile in dimension customization and supports both stylized and photorealistic outputs with rapid generation, appealing to users needing size flexibility without sacrificing detail.

vs Imagen: Wan 2.5 Preview surpasses Imagen by allowing free selection of image dimensions within pixel area limits, providing more adaptability for diverse use cases and print-ready results.

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Uptime and performance

  • Uptime (7d): 100%

Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.

Use cases

  • Digital Art Creation: Perfect for artists seeking custom artwork in any size and style.
  • Marketing & Advertising: Quickly produce high-quality visuals tailored to campaign needs.
  • Content Generation: Enhance blogs, social media, and websites with unique images.
  • Prototyping & Design: Generate concept art and product visuals during early development stages.
  • Educational Materials: Create engaging illustrations or infographics for teaching resources.
  • Entertainment & Media: Use for storyboarding, character concepting, and visual effects assets.

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How to use Wan 2.5 Preview API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to alibaba/wan2.5-t2i-preview.
import requests

r = requests.post(
    "https://api.aimlapi.com/v1/images/generations",
    headers={"Authorization": "Bearer " + AIMLAPI_KEY},
    json={
      "model": "alibaba/wan2.5-t2i-preview",
      "prompt": "A cat holding a sign that says hello"
    },
)
print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/images/generations", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "alibaba/wan2.5-t2i-preview",
    "prompt": "A cat holding a sign that says hello"
  }),
});
console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/images/generations \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"alibaba/wan2.5-t2i-preview","prompt":"A cat holding a sign that says hello"}'

OpenAI-compatible — swap the base URL and it works with your existing SDK.

Wan 2.5 Preview API Pricing

TypePrice
Output
$0.039 / gen

Wan 2.5 Preview Benchmarks

BenchmarkScoreWhat it measuresSourceRetrieved
Text-to-Image Arena
961
Human preference Elo from blind pairwise comparisons of generated images, measured independently by Artificial AnalysisSourceSeptember 21, 2026

Wan 2.5 Preview vs other models

ModelInputOutputContextBest for
$0.039 / gen
Image generation at scale
$0.325 / 1M tokens
$78 / 1M tokens
128K tokens
Image generation at scale
$6.5 / 1M tokens
$39 / 1M tokens
Image generation at scale
$0.325 / gen
Image generation at scale
$0.0195 / MP (variable)
Image generation at scale

Frequently asked questions

Wan 2.5 Preview takes image, text as input and returns image.

Wan 2.5 Preview became available on November 13, 2025.

Wan 2.5 Preview is priced at $0.039 / gen.

Wan 2.5 Preview is billed per generation — a fixed charge per output rather than by prompt length.

Yes, Wan 2.5 Preview accepts image input as well as a text prompt.

Wan 2.5 Preview was built by Alibaba Cloud.

Send a request to https://api.aimlapi.com/v1/images/generations with alibaba/wan2.5-t2i-preview as the model id.

Yes. Wan 2.5 Preview is served through AI/ML API, so the same key and endpoint format used for other models applies.

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