Text-to-Image Generation
Generates images from text prompts at native 2048×2048 resolution, accepting prompts up to 1,000 tokens for detailed layout and style descriptions.
Qwen
Qwen 2 Pro
Qwen Image 2.0 Pro is an image generation and editing model developed by Alibaba's Qwen team and released in February 2026. It uses an 8B Qwen3-VL encoder paired with a 7B diffusion decoder to produce images natively at 2048×2048 resolution. A single model handles both text-to-image generation and image editing tasks, and it accepts prompts up to 1,000 tokens for detailed scene descriptions. It holds the number one position on AI Arena's blind human evaluation leaderboard for both text-to-image generation and image editing. One of the model's defining characteristics is its ability to render accurately spelled, properly positioned text within generated images, making it suitable for infographics, presentation slides, movie posters, comics, and bilingual Chinese and English content. Its 7 billion parameter footprint is smaller than its predecessor, which used 20 billion parameters, enabling faster inference. The model is well suited for marketing teams, content creators, and designers who need production-ready visuals where accurate text rendering, high native resolution, or iterative editing workflows are priorities.
Unknown
1,000 context
N/A output
Text-to-Image Generation
Image Editing
Accurate Text Rendering
Native 2K Resolution
Seed-Based Reproducibility
Long Prompt Support
Model Overview
High-signal model metadata in a structured two-column overview table.
Provider
The entity that provides this model.
Qwen
Input Context Window
The number of tokens supported by the input context window.
1,000
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
N/A
tokens
Open Source
Whether the model's code is available for public use.
No
Release Date
When the model was first released.
Unknown
Knowledge Cut-off Date
When the model's knowledge was last updated.
Unknown
API Providers
The providers that offer this model. This is not an exhaustive list.
Qwen
Modalities
Types of data this model can process.
Image
Text
Code
What is Qwen 2 Pro
A fuller summary of positioning, capabilities, and source-specific details for Qwen 2 Pro.
Qwen Image 2.0 Pro is an image generation and editing model developed by Alibaba's Qwen team and released in February 2026. It uses an 8B Qwen3-VL encoder paired with a 7B diffusion decoder to produce images natively at 2048×2048 resolution. A single model handles both text-to-image generation and image editing tasks, and it accepts prompts up to 1,000 tokens for detailed scene descriptions. It holds the number one position on AI Arena's blind human evaluation leaderboard for both text-to-image generation and image editing.
One of the model's defining characteristics is its ability to render accurately spelled, properly positioned text within generated images, making it suitable for infographics, presentation slides, movie posters, comics, and bilingual Chinese and English content. Its 7 billion parameter footprint is smaller than its predecessor, which used 20 billion parameters, enabling faster inference. The model is well suited for marketing teams, content creators, and designers who need production-ready visuals where accurate text rendering, high native resolution, or iterative editing workflows are priorities.
Capabilities
What Qwen 2 Pro supports
Image Editing
Edits existing images using the same model used for generation, avoiding quality loss from chaining separate tools.
Accurate Text Rendering
Renders correctly spelled and properly positioned text inside generated images, supporting bilingual Chinese and English content without post-processing.
Native 2K Resolution
Outputs images natively at 2048×2048 pixels, rendering fine details such as skin texture and fabric weave during generation rather than via upscaling.
Seed-Based Reproducibility
Accepts a seed input to produce reproducible image outputs, enabling consistent results across repeated generation runs.
Long Prompt Support
Supports prompts up to 1,000 tokens, allowing complex descriptions of multiple visual elements, text content, and stylistic details in a single request.
Pricing for Qwen 2 Pro
Primary API pricing shown in the same “quick compare” spirit as the reference page.
Input tokens
N/A
Per million tokens
Output tokens
N/A
Per million tokens
API Access & Providers
Places where this model is available, based on the synced detail-page metadata.
Qwen
Configuration & Parameters
The configurable options currently documented for this model.
Width
NumberHeight
NumberSeed
SeedA specific value that is used to guide the 'randomness' of the generation.
Supported Request Parameters
Parameters currently listed by OpenRouter or the local catalog for this model.
Resources & Documentation
Official model cards, release notes, docs, and other references synced from the source page.
Community discussion
View more discussions →
What people think about Qwen 2 Pro
Qwen 2 Pro discussions are most active in r/Freepik_AI. The strongest match in this snapshot has 3 upvotes and 1 comments.
FAQ
Common questions about Qwen 2 Pro
What is the context window for Qwen Image 2.0 Pro?
The model accepts prompts up to 1,000 tokens, which allows for detailed descriptions of layouts, text elements, and visual styles in a single request.
What resolution does Qwen Image 2.0 Pro output?
The model generates images natively at 2048×2048 pixels without relying on post-generation upscaling.
Can Qwen Image 2.0 Pro both generate and edit images?
Yes. A single model handles both text-to-image generation and image editing tasks, so no separate model is required for editing workflows.
What input types does Qwen Image 2.0 Pro accept?
The model accepts image URL arrays for reference images, numeric parameters for dimensions or settings, and a seed value for reproducible outputs.
When was Qwen Image 2.0 Pro released and who made it?
The model was released in February 2026 by Alibaba's Qwen team.
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