LLM Reference

Qwen Image Models by Alibaba

AlibabaApache 2.0Open source
2 models2025

Details

ResearcherAlibaba
LicenseApache 2.0OSI-approved
Commercial useCommercial use: permitted
Models2
Released2025

Capabilities

MultimodalAll models

About

Alibaba's Qwen Image family of text-to-image generation models built on Multimodal Diffusion Transformer (MMDiT) architecture. Achieves commercial-grade Chinese and English text rendering. Open-source on HuggingFace (Qwen/Qwen-Image), part of Alibaba's Tongyi/Qwen AI ecosystem.

Current Variants

Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.

2 in view
Qwen ImageCurrent

Use when the workload needs image generation, 20B parameters, and multimodal inputs.

2025-08image generation20B parametersmultimodal inputs

Use when the workload needs image generation and multimodal inputs.

2025-08image generationmultimodal inputs

Release Timeline

1 release group
2025-08
2 current
Qwen Image
image generation20B parametersmultimodal inputs
Current
Qwen Image Max
image generationmultimodal inputs
Current

Specifications(2 models)

Qwen Image model specifications comparison
ModelReleasedParametersMultimodal
Qwen Image2025-0820BYes
Qwen Image Max2025-08Yes

Frequently Asked Questions

What is Qwen Image used for?
Qwen Image is used for image generation and vision and multimodal work. The family description and listed model capabilities point to those workloads as the best fit.
How does Qwen Image compare to Tongyi DeepResearch?
Qwen Image by Alibaba is strongest where you need image generation, while Tongyi DeepResearch by Alibaba is the closest related family to check for adjacent model selection. Qwen Image has 2 listed variants, while Tongyi DeepResearch reaches up to 131k context, so compare the specs and pricing tables before choosing a production model.
Which Qwen Image model should I use?
If price is the main constraint, use the pricing table first because Qwen Image does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate Qwen Image with multimodal inputs.