Qwen: Qwen Image
qwen/qwen-image
Access Qwen Image from Qwen using the Puter.js AI API.
Add to your app
Model Card
Qwen Image is a 20B-parameter image generation foundation model from Alibaba's Qwen series, built for text-to-image generation, image editing, and image understanding tasks.
Its standout capability is high-fidelity text rendering — it accurately places readable text in both English and Chinese within generated images, making it especially strong for posters, slides, and design-heavy visuals. Beyond text, it supports a wide range of styles from photorealism to anime, and handles advanced editing operations like style transfer, object insertion/removal, and in-image text modification.
The model also performs image understanding tasks including object detection, segmentation, depth estimation, and super-resolution. A versatile choice for developers who need generation, editing, and visual analysis in a single model. Licensed under Apache 2.0.
Cost Per Image $0.0058
per generation
Configuration N/A
resolution
Release Date Aug 1, 2025
Add Qwen Image to your app
Use Qwen Image in your app with the Puter.js AI API, no API keys or setup required.
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.txt2img("A serene mountain landscape at sunset", {
model: "qwen/qwen-image"
}).then(image => {
document.body.appendChild(image);
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.txt2img("A serene mountain landscape at sunset", {
model: "qwen/qwen-image"
}).then(image => {
document.body.appendChild(image);
});
</script>
</body>
</html>
More AI Models From Qwen
Qwen3.8 Max Prime
Qwen3.8 Max Prime is a high-throughput serving tier of Alibaba's Qwen3.8 Max, the Qwen team's 2.4-trillion-parameter Mixture-of-Experts flagship released August 3, 2026. It runs the same underlying weights as standard Qwen3.8 Max, a 1M-token-context model with 95B active parameters and native text, image, and video input, but on faster inference infrastructure. Third-party trackers report roughly 1.5 to 2 times the output throughput of the standard endpoint, at a higher per-token price. Because the weights are unchanged, Prime inherits Qwen3.8 Max's benchmark results, including 67.7 on SWE-bench Pro and a top-three ranking on LMArena Code, putting it behind Claude Fable 5 but ahead of GPT-6 Sol on several agentic coding evaluations. It suits developers running latency-sensitive coding agents or high-concurrency workloads who want Qwen3.8 Max's capability without the standard endpoint's slower response time.
ChatQwen3.8 OmniFlash
Qwen3.8 OmniFlash is Alibaba's first omni-modal model built around agentic capabilities, released September 18, 2026, succeeding Qwen3.5-Omni-Plus. It accepts text, images, audio, and video as input and returns text, pairing native audio-video understanding with reasoning and tool use. It can watch or listen to content, plan a task, call tools, and deliver a finished result, such as an edited video or a meeting summary. Alibaba reports more than a 26% average improvement across 30 evaluations versus Qwen3.5-Omni-Plus, with gains in audio-video agents, coding, long-context tasks, and real-time interaction. It says audio-visual performance approaches Gemini 3.8 Flash, with audio performance exceeding it. With a 1,000,000 token context window, 128,000 token output limit, and pricing of $0.06 per million input tokens and $0.19 per million output tokens, it suits developers building video and audio agents, such as meeting summarization or video-editing pipelines that need tool-calling built in.
ChatQwen3.8 Max (0902)
Qwen3.8 Max (0902) is a September 2026 snapshot of Alibaba's Qwen3.8 Max, a 2.4-trillion-parameter mixture-of-experts flagship with roughly 95 billion active parameters per token. It keeps the 1M-token context window, thinking mode, and tool ecosystem of the base model, with additional post-training on coding and office-work tasks. On Code Arena WebDev it ranks first overall at 1,691 points, ahead of Claude Opus 5 Max (1,687) and Kimi K3 Max (1,674). The largest gains are on TerminalBench 3.0 and ProgramBench Almost Solved, both more than doubling versus the prior snapshot. Reported core scores include GPQA Diamond 92.6 and PaperBench 93.0. Against Claude Opus 5, it leads on several coding benchmarks and on WorkArena, though Opus 5 still leads on most agentic coding rows and both office-work benchmarks. Pricing is unchanged from the base Qwen3.8 Max, making it a straightforward upgrade for coding and office-automation workloads already on the platform.
Frequently Asked Questions
You can access Qwen Image by Qwen through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required.
Qwen Image is free to integrate using the Puter.js AI API. With the User-Pays Model, you can add AI to your app for $0, since users cover their own AI usage through their Puter account.
| Price | |
|---|---|
| Per image | $0.0058 |
Qwen Image was created by Qwen and released on Aug 1, 2025.
Yes — the Qwen Image API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
Add Qwen Image to your app for free
Developers can integrate Qwen Image for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.