Qwen-Image Edit by Alibaba Cloud is a state-of-the-art AI model designed for precise and flexible image editing tasks. It combines advanced image understanding with context-aware editing capabilities, enabling users to modify images based on natural language instructions or guided prompts. The model excels in diverse editing operations such as object removal, replacement, style transfer, background adjustment, and fine detail enhancement while maintaining photorealistic output quality. Licensed under Apache 2.0, Qwen-Image-Edit supports scalable deployment for creative, commercial, and research applications.
Vs Adobe Firefly: Qwen-Image Edit is open-source and more customizable for integration, whereas Adobe Firefly focuses on user-friendly commercial tools with extensive artistic filters and brand assets.
Vs Stable Diffusion: Qwen-Image Edit achieves cleaner edges and fewer artifacts in object removal scenarios and allows complex multi-turn edits. Stable Diffusion provides faster generation but with less precise editing fidelity on challenging images.
Vs Midjourney: Qwen-Image-Edit supports high-resolution images and detailed textual refinement with better open-source accessibility. Midjourney is favored for artistic style exploration and rapid prototyping though it has limited editing controls.
Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.
import requests r = requests.post( "https://api.aimlapi.com/v1/images/generations", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "alibaba/qwen-image-edit", "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/qwen-image-edit", "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/qwen-image-edit","prompt":"A cat holding a sign that says hello"}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Output | |
| Benchmark | Score | What it measures | Source | Retrieved |
|---|---|---|---|---|
| ImgEdit-Bench | 4.27% | Faithfulness/quality of instruction image edits | Source | July 12, 2026 |
| GEdit-Bench | 7.56 (EN) | Instruction-based real-world image editing quality | Source | July 12, 2026 |
| Image Editing Arena | 916 | Human preference Elo from blind pairwise comparisons of edited images, measured independently by Artificial Analysis | Source | September 21, 2026 |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Qwen Image Edit This page | Image generation at scale | |||
| Image generation at scale | ||||
| Image generation at scale | ||||
| Image generation at scale | ||||
| Image generation at scale |
Qwen Image Edit takes image, text as input and returns image.
Qwen Image Edit became available on October 13, 2025.
Qwen Image Edit is priced at $0.0585 / gen.
Qwen Image Edit is billed per generation — a fixed charge per output rather than by prompt length.
Yes, Qwen Image Edit accepts image input as well as a text prompt.
Qwen Image Edit was built by Alibaba Cloud.
Send a request to https://api.aimlapi.com/v1/images/generations with alibaba/qwen-image-edit as the model id.
Yes. Qwen Image Edit is served through AI/ML API, so the same key and endpoint format used for other models applies.
