alibaba

Qwen-Image-2.0

Qwen-Image-2.0 is Alibaba's unified 7B model for professional infographics, photorealism, and precise image editing with native 2K resolution and 1k-token...

MultimodalImage GenerationTypographyOpen WeightsAlibaba
alibaba logoalibabaQwenFebruary 10, 2026
Context
1Ktokens
Max Output
4Ktokens
Input Price
$0.07/ 1M
Output Price
$0.07/ 1M
Modality:TextImage
Capabilities:VisionToolsStreaming
Benchmarks
GPQA
0%
GPQA: Graduate-Level Science Q&A. A rigorous benchmark with 448 multiple-choice questions in biology, physics, and chemistry created by domain experts. PhD experts only achieve 65-74% accuracy, while non-experts score just 34% even with unlimited web access (hence 'Google-proof'). Qwen-Image-2.0 scored 0% on this benchmark.
HLE
0%
HLE: High-Level Expertise Reasoning. Tests a model's ability to demonstrate expert-level reasoning across specialized domains. Evaluates deep understanding of complex topics that require professional-level knowledge. Qwen-Image-2.0 scored 0% on this benchmark.
MMLU
0%
MMLU: Massive Multitask Language Understanding. A comprehensive benchmark with 16,000 multiple-choice questions across 57 academic subjects including math, philosophy, law, and medicine. Tests broad knowledge and reasoning capabilities. Qwen-Image-2.0 scored 0% on this benchmark.
MMLU Pro
0%
MMLU Pro: MMLU Professional Edition. An enhanced version of MMLU with 12,032 questions using a harder 10-option multiple choice format. Covers Math, Physics, Chemistry, Law, Engineering, Economics, Health, Psychology, Business, Biology, Philosophy, and Computer Science. Qwen-Image-2.0 scored 0% on this benchmark.
SimpleQA
0%
SimpleQA: Factual Accuracy Benchmark. Tests a model's ability to provide accurate, factual responses to straightforward questions. Measures reliability and reduces hallucinations in knowledge retrieval tasks. Qwen-Image-2.0 scored 0% on this benchmark.
IFEval
0%
IFEval: Instruction Following Evaluation. Measures how well a model follows specific instructions and constraints. Tests the ability to adhere to formatting rules, length limits, and other explicit requirements. Qwen-Image-2.0 scored 0% on this benchmark.
AIME 2025
0%
AIME 2025: American Invitational Math Exam. Competition-level mathematics problems from the prestigious AIME exam designed for talented high school students. Tests advanced mathematical problem-solving requiring abstract reasoning, not just pattern matching. Qwen-Image-2.0 scored 0% on this benchmark.
MATH
0%
MATH: Mathematical Problem Solving. A comprehensive math benchmark testing problem-solving across algebra, geometry, calculus, and other mathematical domains. Requires multi-step reasoning and formal mathematical knowledge. Qwen-Image-2.0 scored 0% on this benchmark.
GSM8k
0%
GSM8k: Grade School Math 8K. 8,500 grade school-level math word problems requiring multi-step reasoning. Tests basic arithmetic and logical thinking through real-world scenarios like shopping or time calculations. Qwen-Image-2.0 scored 0% on this benchmark.
MGSM
0%
MGSM: Multilingual Grade School Math. The GSM8k benchmark translated into 10 languages including Spanish, French, German, Russian, Chinese, and Japanese. Tests mathematical reasoning across different languages. Qwen-Image-2.0 scored 0% on this benchmark.
MathVista
72%
MathVista: Mathematical Visual Reasoning. Tests the ability to solve math problems that involve visual elements like charts, graphs, geometry diagrams, and scientific figures. Combines visual understanding with mathematical reasoning. Qwen-Image-2.0 scored 72% on this benchmark.
SWE-Bench
0%
SWE-Bench: Software Engineering Benchmark. AI models attempt to resolve real GitHub issues in open-source Python projects with human verification. Tests practical software engineering skills on production codebases. Top models went from 4.4% in 2023 to over 70% in 2024. Qwen-Image-2.0 scored 0% on this benchmark.
HumanEval
0%
HumanEval: Python Programming Problems. 164 hand-written programming problems where models must generate correct Python function implementations. Each solution is verified against unit tests. Top models now achieve 90%+ accuracy. Qwen-Image-2.0 scored 0% on this benchmark.
LiveCodeBench
0%
LiveCodeBench: Live Coding Benchmark. Tests coding abilities on continuously updated, real-world programming challenges. Unlike static benchmarks, uses fresh problems to prevent data contamination and measure true coding skills. Qwen-Image-2.0 scored 0% on this benchmark.
MMMU
77%
MMMU: Multimodal Understanding. Massive Multi-discipline Multimodal Understanding benchmark testing vision-language models on college-level problems across 30 subjects requiring both image understanding and expert knowledge. Qwen-Image-2.0 scored 77% on this benchmark.
MMMU Pro
58%
MMMU Pro: MMMU Professional Edition. Enhanced version of MMMU with more challenging questions and stricter evaluation. Tests advanced multimodal reasoning at professional and expert levels. Qwen-Image-2.0 scored 58% on this benchmark.
ChartQA
86%
ChartQA: Chart Question Answering. Tests the ability to understand and reason about information presented in charts and graphs. Requires extracting data, comparing values, and performing calculations from visual data representations. Qwen-Image-2.0 scored 86% on this benchmark.
DocVQA
94%
DocVQA: Document Visual Q&A. Document Visual Question Answering benchmark testing the ability to extract and reason about information from document images including forms, reports, and scanned text. Qwen-Image-2.0 scored 94% on this benchmark.
Terminal-Bench
0%
Terminal-Bench: Terminal/CLI Tasks. Tests the ability to perform command-line operations, write shell scripts, and navigate terminal environments. Measures practical system administration and development workflow skills. Qwen-Image-2.0 scored 0% on this benchmark.
ARC-AGI
0%
ARC-AGI: Abstraction & Reasoning. Abstraction and Reasoning Corpus for AGI - tests fluid intelligence through novel pattern recognition puzzles. Each task requires discovering the underlying rule from examples, measuring general reasoning ability rather than memorization. Qwen-Image-2.0 scored 0% on this benchmark.

About Qwen-Image-2.0

Learn about Qwen-Image-2.0's capabilities, features, and how it can help you achieve better results.

A Unified Visual Powerhouse

Qwen-Image-2.0 represents a significant leap in multimodal AI from Alibaba Cloud. Unlike previous iterations that required separate models for creation and modification, this unified 7B parameter architecture handles both high-fidelity image generation and precise pixel-level editing within a single framework. This streamlined approach ensures stylistic consistency and superior semantic adherence across a wide range of visual tasks.

Professional-Grade Typography and Layouts

The model is specifically engineered to overcome one of the greatest hurdles in AI art: text rendering. Supporting ultra-long instructions of up to 1,000 tokens, it allows users to specify intricate layouts for professional infographics, data dashboards, and bilingual marketing materials. With native 2K resolution support, the output maintains microscopic detail, making it suitable for both digital displays and high-quality print media.

State-of-the-Art Multimodal Understanding

Beyond generation, Qwen-Image-2.0 excels in multimodal comprehension. By integrating deep reasoning with visual synthesis, it achieves top-tier scores on benchmarks like DocVQA (94) and ChartQA (86). This makes it an ideal tool for users who need to transform complex textual data into structured visual representations or perform iterative edits on existing imagery using natural language commands.

Qwen-Image-2.0

Use Cases for Qwen-Image-2.0

Discover the different ways you can use Qwen-Image-2.0 to achieve great results.

Professional Infographics

Generate complex financial reports and technical schematics with accurate data labels and clean layouts.

Bilingual Marketing Materials

Create social media assets with flawless English and Chinese typography that respects lighting and perspective.

Multi-Panel Comics

Produce consistent character designs across multi-grid comic layouts with dialogue precisely placed in speech bubbles.

Precision Image Editing

Modify existing photos by adding or removing specific objects or changing textures using natural language instructions.

High-Fidelity Photorealism

Render detailed portraits and architectural scenes at 2K resolution with visible skin textures and material depth.

Slide Deck Generation

Direct conversion of long-form text into professional PPT-style slides with integrated icons and charts.

Strengths

Limitations

Professional Typography: Exceptional at rendering long, complex bilingual text and nested layouts without spelling glitches.
Language Bias: While bilingual, its cultural and calligraphic nuances are most deeply refined for Chinese artistic styles.
Unified Gen-Edit Architecture: A single 7B model handles both creation and manipulation, ensuring visual consistency across tasks.
VRAM Intensity: Generating native 2K images locally requires significantly more memory than standard 1024x1024 models.
High Document Accuracy: Dominates document-related benchmarks with a 94 score on DocVQA and 86 on ChartQA.
Numerical Artifacts: Complex numerical tables within nested infographic layouts can still occasionally show minor alignment issues.
Native 2K Fidelity: Produces ultra-sharp 2048x2048 images with professional lighting and microscopic architectural details.
Regional Optimization: Many of the advanced agentic features are currently best supported within the Alibaba Cloud/ModelScope ecosystem.

API Quick Start

alibaba/qwen-image-2-0

View Documentation
alibaba SDK
import { QwenAI } from '@alibaba/qwen-sdk';

const qwen = new QwenAI({
  apiKey: process.env.QWEN_API_KEY
});

async function generatePoster() {
  const response = await qwen.images.generate({
    model: "qwen-image-2.0",
    prompt: "A 2K professional infographic poster about AI evolution with detailed text labels and 3D icons.",
    size: "2048x2048"
  });
  console.log('Image URL:', response.data[0].url);
}

generatePoster();

Install the SDK and start making API calls in minutes.

What People Are Saying About Qwen-Image-2.0

See what the community thinks about Qwen-Image-2.0

"Qwen-Image-2.0 unifies generation and editing in a way that makes professional infographics actually possible with one prompt."
Fahd Mirza
youtube
"The photorealism in human forms and the English text rendering are simply sublime compared to the previous version."
Sudo AI
youtube
"It kept the model’s face factual while swapping complex styled outfits... high fashion glam meets industrial precision."
glenegrant
x/twitter
"This model is incredible for direct generation of professional infographics like PPTs and posters with 1k-token prompts."
Alibaba_Qwen
x/twitter
"Qwen-Image-2.0 is out - 7B unified gen+edit model with native 2K and actual text rendering... great news for the community."
LocalLLaMA
reddit
"The 2K resolution combined with 1,000 token context makes this the best open-weight model for technical documentation visuals."
AIExplorer
hackernews

Videos About Qwen-Image-2.0

Watch tutorials, reviews, and discussions about Qwen-Image-2.0

Within just 6 months, team Qwen has merged their two separate models... into a single unified system called Qwen Image 2.

The bilingual typography is pixel perfect. Complex Chinese characters and English headers render cleanly.

The model has successfully created a professional multisection infographic with distinct zones... all properly aligned.

This is not just for art; it's for documents and data visualization which is a huge step forward for the open weight community.

The 7 billion parameter size makes it accessible for high-end consumer GPUs, which is impressive given the 2K output quality.

It has actually properly followed the prompt and properly implemented this inside the picture... hyper-realistic and futuristic.

They have done a huge improvement in the image quality... no more glitchy letters.

This model accurately models the riding action but also meticulously renders the horse musculature and hair.

The unified editing feature allows you to change specific parts of an image using just a natural language description.

It's one of the few models that can handle such long prompts, up to 1000 tokens, for incredibly detailed scenes.

Professional typography rendering: Supports 1k-token instructions for direct generation of professional infographics.

Native 2K resolution support for finely detailed realistic scenes, including people, nature, and architecture.

Our next-gen image generation model unifies text-to-image and image-to-image editing in a single architecture.

Achieving state-of-the-art performance across multimodal benchmarks like DocVQA and ChartQA.

The model excels at preserving identity and stylistic consistency for complex character-driven storytelling.

More than just prompts

Supercharge your workflow with AI Automation

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AI Agents
Web Automation
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Pro Tips for Qwen-Image-2.0

Expert tips to help you get the most out of Qwen-Image-2.0 and achieve better results.

Utilize Ultra-Long Prompts

Leverage the 1,000-token capacity to define every specific zone of a layout or infographic for maximum control.

Specify Calligraphy Styles

Request specific fonts like 'Small Regular Script' or 'Slender Gold' to access unique bilingual aesthetic capabilities.

One-Step Editing

Upload a base image and use the same chat session to perform complex modifications without switching models.

Chain with Qwen-Max

Use a large language model like Qwen2.5-Max to expand simple ideas into the highly detailed descriptions this model thrives on.

Testimonials

What Our Users Say

Join thousands of satisfied users who have transformed their workflow

Jonathan Kogan

Jonathan Kogan

Co-Founder/CEO, rpatools.io

Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.

Mohammed Ibrahim

Mohammed Ibrahim

CEO, qannas.pro

I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!

Ben Bressington

Ben Bressington

CTO, AiChatSolutions

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Sarah Chen

Head of Growth, ScaleUp Labs

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David Park

Founder, DataDriven.io

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Emily Rodriguez

Emily Rodriguez

Marketing Director, GrowthMetrics

Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.

Jonathan Kogan

Jonathan Kogan

Co-Founder/CEO, rpatools.io

Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.

Mohammed Ibrahim

Mohammed Ibrahim

CEO, qannas.pro

I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!

Ben Bressington

Ben Bressington

CTO, AiChatSolutions

Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!

Sarah Chen

Sarah Chen

Head of Growth, ScaleUp Labs

We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.

David Park

David Park

Founder, DataDriven.io

The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!

Emily Rodriguez

Emily Rodriguez

Marketing Director, GrowthMetrics

Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.

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Frequently Asked Questions About Qwen-Image-2.0

Find answers to common questions about Qwen-Image-2.0