Qwen Image 3.0
Qwen Image 3.0 is Alibaba's next-generation open-weights AI image generation and editing model built on a Diffusion Transformer (DiT) architecture. Supporting both text-to-image (T2I) and image-to-image instruction editing (I2I), it excels at rich content rendering, hyper-realistic detail, and deep contextual understanding. It achieves industry-leading text-in-image typography, rendering clear small text down to 10px across 12 native languages and 20+ fonts for complex multi-column layouts, UI designs, and graphic documents. With open weights available for self-hosting, Qwen Image 3.0 provides highly cost-effective, high-precision visual generation for localized advertising, product UI prototyping, e-commerce graphics, and creative publishing.
Related Models
Qwen Image 3.0 Pro
Qwen Image 3.0 Pro is Alibaba's flagship third-generation AI image generation model built on a Diffusion Transformer architecture. Engineered for high information density and professional production, it accepts ultra-long prompts of up to 4,500 tokens, allowing a single pass to generate complex layouts like newspaper front pages, multi-panel storyboards, academic papers, and detailed UI interfaces. It delivers micro-level detail and industry-leading typography, rendering legible small text down to 10px across 12 native languages and 20+ fonts.
Qwen 3.8 Max
Qwen3.8-Max is Alibaba’s flagship model in the Qwen3.8 series, designed for agentic, text-based workflows. It excels at coding, debugging, office automation, productivity tasks, tool use, and long-horizon autonomous execution. With a 1-million-token context window and support for outputs of up to 64K tokens, it is ideal for processing large documents, repository-scale coding, multi-step planning, structured content generation, and complex workflows requiring sustained reasoning across hundreds or even thousands of steps.
Qwen 3.5 Omni Plus
Qwen 3.5 Omni Plus is Alibaba Cloud's next-generation native multimodal (Omni) flagship model. Powered by an end-to-end unified architecture, it supports real-time full-duplex interaction across text, image, audio, and video inputs and outputs. It features ultra-low latency streaming inference, expressive speech synthesis, joint vision-audio reasoning, and strong tool-use capability—ideal for real-time voice assistants, AI customer service, video interaction, and digital human agents.
Qwen 3.7 Plus
Qwen3.7-Plus is a cost-effective model in Alibaba’s Qwen3.7 series, supporting text and image inputs with text output. It combines enhanced vision-language capabilities with full-stack, agentic intelligence for coding, tool use, and productivity workflows. Its key strength is multimodal, interactive agent functionality: it can understand real-world scenes, interpret on-screen content, interact with graphical interfaces, generate code from visual references, and autonomously navigate mobile apps from end to end.
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Qwen Image 3.0
Qwen Image 3.0 (Qwen Image Generation and Editing 3.0 Standard) is an image generation and editing model developed by Alibaba's Tongyi Qianwen team, supporting both text-to-image (T2I) and image-to-image/image editing (I2I) with a balance of image quality and generation speed. The model can generate images directly from text prompts or edit images based on 1–3 reference images combined with editing instructions, outputting PNG format images with supported resolution ranging from 512×512 to 2048×2048 total pixels.
The iCreat platform exposes its capabilities via the endpoint https://api.icreat.ai/v1/task/submit/aliyun/qwen-image-3-0, operating in an asynchronous three-step mode with a flat rate of $0.03/image for both 1K and 2K sizes.
Model Positioning
Qwen Image 3.0 is positioned as the standard version of the Qwen Image 3.0 series, balancing image quality and generation speed.
Compared to the Pro variant of the same series, the standard version offers faster generation speed, making it suitable for batch image generation scenarios with higher efficiency requirements. The model supports both text-to-image and image-to-image dual modes and can handle visual materials requiring layout and text output.
On the iCreat platform, the model is served through an asynchronous three-step workflow where users submit tasks, poll for status, and retrieve results.
Core Capabilities
Dual-Mode: Text-to-Image and Image-to-Image
The model supports both text-to-image (T2I) and image-to-image/image editing (I2I). Users can generate images from text prompts alone or provide 1–3 reference images with editing instructions for precise modifications.
High-Quality Image Output
Outputs PNG format images with supported total pixels ranging from 512×512 to 2048×2048, covering landscape, portrait, and square output requirements across multiple resolution and aspect ratio combinations.
Messages-Style Multimodal Input
Uses a messages-style input structure where the content array can flexibly combine text prompts and reference image URLs, supporting multiline text input.
AIGC Watermark Option
The watermark parameter controls whether an AIGC watermark is added to the bottom-right corner of the generated image.
Pricing
| Size Tier | Included Resolutions | Unit Price | Billing |
|---|---|---|---|
| 1K | 1024x1024, 1280x720, 720x1280, 1024x768, 768x1024, 1280x960, 960x1280 | $0.03/image | Per output image |
| 2K | 2048x2048, 2560x1440, 1440x2560, 2048x1536, 1536x2048 | $0.03/image | Per output image |
Note: The above are iCreat platform prices. 1K and 2K are uniformly priced at $0.03/image, lower than the Pro version (1K $0.04/image, 2K $0.075/image). The iCreat platform price shall prevail.
Application Scenarios
- Social media content imagery and batch material generation
- E-commerce product image editing and style transfer
- Creative design concept rapid generation and iteration
- Educational and presentation illustration creation
- Advertising and marketing material rapid production
Model Comparison
Comparison Table 1: Qwen Image 3.0 Series
| Feature | qwen-image-3.0 (Standard) | qwen-image-3.0-pro (Pro) |
|---|---|---|
| Positioning | Balances quality and speed | Superior image quality and text rendering |
| Text-to-Image | Supported | Supported |
| Image-to-Image/Editing | Supported (1–3 reference images) | Supported (1–3 reference images) |
| Resolution Range | 512×512–2048×2048 | 512×512–2048×2048 |
| Output Format | PNG | PNG |
| 1K Price | $0.03/image | $0.04/image |
| 2K Price | $0.03/image | $0.075/image |
Note: The standard version offers flat pricing for 1K and 2K, lower than the Pro version; the Pro version is stronger in complex text rendering and composition precision.
Comparison Table 2: Qwen Image Series Cross-Version
| Feature | qwen-image-3.0 | qwen-image-2.0 |
|---|---|---|
| Positioning | 3.0 Standard, balances quality and speed | 2.0 Accelerated, balances quality and response speed |
| Text-to-Image | Supported | Supported |
| Image-to-Image/Editing | Supported (1–3 reference images) | Supported |
| Resolution Range | 512×512–2048×2048 | 512×512–2048×2048 |
| Output Image Count | 1 image | 1–6 images |
| Output Format | PNG | PNG |
| 1K Price | $0.03/image | Per official platform |
| 2K Price | $0.03/image | Per official platform |
Note: 3.0 Standard upgrades image quality and editing capabilities; 2.0 supports generating multiple images per request.
Why Choose Qwen Image 3.0?
- Supports both text-to-image generation and image-to-image editing in a single model
- Flat pricing of $0.03/image for both 1K and 2K, offering better value than the Pro version
- Precise editing with 1–3 reference images to maintain visual direction consistency
- Resolution coverage across multiple aspect ratios for landscape, portrait, and square needs
- Balances image quality and generation speed, suitable for batch image generation
- iCreat platform asynchronous three-step workflow ensures stable and reliable task management
Specifications
| Field | Value |
|---|---|
| Model Name | Qwen Image 3.0 |
| Developer | Alibaba (Tongyi Qianwen) |
| Endpoint | https://api.icreat.ai/v1/task/submit/aliyun/qwen-image-3-0 |
| Query Status Endpoint | https://api.icreat.ai/v1/task/query-status |
| Get Result Endpoint | https://api.icreat.ai/v1/task/get-result |
| Release Time | 2026 (same period as 3.0 Pro) |
| Model Type | Multimodal image generation and editing (T2I + I2I) |
| Authentication | Authorization: Bearer |
| Input Type | Messages-style input; content supports text (prompt) and image (reference image URL) |
| Parameters | watermark (boolean, default false); size (string, default 1024x1024) |
| Output Format | PNG |
| Resolution Range | Total pixels 512×512–2048×2048 |
| Billing Unit | Per image |
| API Mode | Asynchronous three-step (submit → query-status → get-result) |
Architecture
The iCreat platform's Qwen Image 3.0 operates using an asynchronous three-step architecture. Users submit tasks via the submission endpoint, and the system returns a task ID. The task status is then polled via the query-status endpoint, and once complete, the final image result is retrieved via the get-result endpoint. Requests must include the API Key in the Authorization header for authentication. The request body uses a messages-style structure, where the input object contains a messages array (role set to user, content combining text and images), and the parameters object controls watermark and resolution settings. The model ID is included in the submission endpoint URL path; the request body does not use a model field.
Notes
- Reference images must be publicly accessible URLs; private or authenticated image addresses may cause task failure
- The size parameter should select a resolution from the pricing table; non-standard sizes may cause billing anomalies
- 1K and 2K are uniformly priced at $0.03/image; for higher-quality complex text rendering, consider the Pro version
- The output format is fixed to PNG; other output formats are not currently supported
- One image is generated per request; for multiple images, use multiple requests
- Please safeguard your API Key and avoid hardcoding it in client-side code or public repositories
Frequently Asked Questions
How is the billing calculated?
Billing is calculated per output image. Both 1K and 2K size tiers are uniformly priced at $0.03/image. For example, generating one 1024×1024 image costs $0.03, and generating one 2048×2048 image also costs $0.03. The iCreat platform price shall prevail.
What is the difference between the Standard and Pro versions?
The Standard version (qwen-image-3.0) balances quality and speed, with flat pricing of $0.03/image for both 1K and 2K. The Pro version (qwen-image-3.0-pro) is stronger in image quality, complex text rendering precision, and composition capabilities, but is priced higher (1K $0.04/image, 2K $0.075/image). For high-quality text rendering or complex layouts, the Pro version is recommended.
What input modes are supported?
The model supports both text-to-image (T2I) and image-to-image/image editing (I2I). In T2I mode, the content array contains only text fields; in I2I mode, the content array can include 1–3 reference image fields and a text field with editing instructions.
What values does the size parameter support?
1K tier: 1024x1024, 1280x720, 720x1280, 1024x768, 768x1024, 1280x960, 960x1280. 2K tier: 2048x2048, 2560x1440, 1440x2560, 2048x1536, 1536x2048. Default is 1024x1024. The official model supports any size with total pixels between 512×512 and 2048×2048.
Can multiple images be generated?
Qwen Image 3.0 generates 1 image per request. To generate multiple images, use multiple requests. The predecessor qwen-image-2.0 supports generating 1–6 images per request.
What does the watermark parameter do?
The watermark parameter controls whether an AIGC watermark is added to the bottom-right corner of the generated image. It defaults to false (no watermark); set to true to add the watermark.