Qwen Image 2512
Improved version of Alibaba's Qwen image model with better text rendering, finer natural textures, and more realistic human generation.
Explore ModelAlibaba
4 AI Image Generation Models, 7 AI Image Editing Models, and 1 AI Image & Video Model
Models
12 modelsAlibaba's Qwen Image 2.0 model with enhanced text rendering, supporting both Chinese and English prompts with up to 6 images per request
Alibaba's Qwen Image 2.0 Pro model offering higher quality image generation with enhanced detail and accuracy
Improved version of Alibaba's Qwen image model with better text rendering, finer natural textures, and more realistic human generation.
Alibaba's Qwen image editing model for instruction-based image modifications and transformations
Alibaba's Qwen image editing model for instruction-based image modifications and transformations
Alibaba's Qwen image editing model for instruction-based image modifications and transformations
Alibaba's text-to-image and image-to-image generation model from the Wan AI suite, offering high-quality visual generation capabilities
Alibaba's Wan 2.7 Pro image generation and editing model with higher-quality outputs and support for 4K image generation
Tongyi-MAI's 6-billion parameter distilled text-to-image model optimized for speed, achieving high-quality generation in 8 steps or fewer with support for bilingual text rendering
Examples
20 imagesArena Rankings
Text to Image
View full leaderboard| # | Model | Elo |
|---|---|---|
| 18 | Z-Image Turbo | 1243 |
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1 more model
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| 20 | Qwen Image 2512 | 1231 |
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3 more models
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| 24 | Wan 2.6 | 1228 |
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6 more models
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30 models ranked
Image Editing
View full leaderboard| # | Model | Elo |
|---|---|---|
| 9 | Wan 2.6 | 1208 |
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3 more models
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| 13 | Qwen Image Edit 2511 | 1195 |
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2 more models
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| 16 | Z-Image Turbo | 1101 |
16 models ranked
About Alibaba
Alibaba is a global leader in artificial intelligence research, specifically through its Cloud and Tongyi divisions. The organization focuses on large-scale multimodal models, developing sophisticated architectures for image generation, video synthesis, and instruction-based image editing. They are widely recognized for the Qwen and Wan series, which offer high-performance alternatives to Western proprietary models with a particular emphasis on bilingual proficiency and architectural efficiency.
- Wan 2.6 / 2.7 Pro: A versatile multimodal suite capable of high-fidelity text-to-image and video generation. The Pro variants support up to 4K resolution and advanced reference-guided generation, ranking highly for both visual quality and editing precision.
- Z-Image Turbo: A distilled 6-billion parameter model optimized for inference speed. It achieves competitive results in as few as eight steps and maintains a top-20 position on global Elo leaderboards for text-to-image generation.
- Qwen Image 2.0 / 2512: These models provide enhanced text rendering and realistic human textures. They are designed to handle complex prompt instructions in both Chinese and English, supporting multiple image inputs per request for contextual generation.
- Qwen Image Edit: A specialized series of models focused on instruction-based transformations. These allow users to modify existing images through natural language, consistently appearing in the top rankings for image editing tasks.
Alibaba excels at technical distillation and multimodal integration, producing models that balance high-quality output with computational efficiency. Their systems are particularly effective for workflows requiring precise text rendering within images and nuanced bilingual understanding across diverse creative tasks. These models are available through Lumenfall’s unified API, allowing developers to integrate Alibaba’s generative capabilities into their applications with a single interface.
Top Matchups
Head-to-head results between Alibaba models and competitors, based on community votes in blind comparisons.
Qwen Image Edit 2511 vs GPT Image 1.5
Challenge: Man and Car in California
32% W · 66% L · 2% T
Qwen Image Edit 2511 vs Nano Banana
Challenge: Neutral Expression to Genuine Smile
22% W · 67% L · 11% T
Z-Image Turbo vs Grok Imagine Image
Challenge: Modern Clean Menu
38% W · 50% L · 13% T
Wan 2.6 vs Nano Banana
Challenge: Neutral Expression to Genuine Smile
33% W · 67% L
Wan 2.6 vs Stable Diffusion 3.5 Large
Challenge: Apollo 11: Journey to Tranquility
0% W · 100% L
Z-Image Turbo vs Nano Banana
Challenge: Bald man challenge
0% W · 75% L · 25% T
Qwen Image 2512 vs Nano Banana Pro
Challenge: Candid Street Photography
0% W · 100% L
Qwen Image 2512 vs FLUX.2 [dev] Turbo
Challenge: Geometric Composition
0% W · 100% L
Wan 2.7 Pro vs GPT Image 2
Challenge: Magic Burger Explosion: Fiery Photorealism Challenge
0% W · 100% L