Qwen-Image
Alibaba·
ImageimagelocalEdge / Consumer
Overview
First image foundation model from Alibaba's Qwen team: a 20B MMDiT text-to-image model, with editing added through separate Qwen-Image-Edit checkpoints (from 2025-08-18). Focused on complex text rendering, especially Chinese. Apache 2.0. The 20B figure is the diffusion transformer; the README states no figure for the full pipeline and no VRAM requirement.
Capabilities and innovations
20B MMDiTText-to-imageComplex text rendering (incl. Chinese)Image editing via Qwen-Image-Edit checkpointsOpen weights (Apache 2.0)First Qwen image foundation model with open weights
Benchmarks
No benchmark values are recorded for this model.
- GPQA Diamond: not reported by the vendor
- Humanity’s Last Exam (no tools): not reported by the vendor
- SWE-bench Verified: not reported by the vendor
- SWE-bench Pro: not reported by the vendor
- MMLU: not reported by the vendor
- MMLU-Pro: not reported by the vendor
- Terminal-Bench 2.x: benchmark did not exist at release
- MMMU-Pro: benchmark did not exist at release
Architecture and hardware
- Parameters
- 20B total (Dense)
- Estimated VRAM at Q4
- ~12 GB, Edge / Consumer class
Links
More from Alibaba
Data curated by AI Model Timeline. See the methodology for admission criteria, benchmark eras and source priority.