Qwen Image 2.1
Alibaba's Qwen team released Qwen-Image-2.1, a 7‑billion‑parameter open‑weight model that combines text‑to‑image generation and image editing in a single system, with native support for transparent (RGBA) backgrounds. The September 20 2026 release highlights its open‑source availability and claims it outperforms most closed models on the team’s benchmark, though independent verification is pending.
Qwen Image 2.1 is an image model from Alibaba Cloud, first covered on 20 September 2026. It is available as open weights you can download and run (licence: Qwen Research License Agreement (commercial use requires approval)).
Last updated
At a glance
- Made by
- Alibaba Cloud
- Type
- Image model
- Availability
- Open weights
- Licence
- Qwen Research License Agreement (commercial use requires approval)
- Context window
- Not stated
- First seen
- 20 September 2026
- Official page
- github.com/QwenLM/Qwen-Image-2.1 ↗
Taken from the coverage, not from our own testing; "not stated" means none of the reports we read gave it. Tracked 4 times (new versions or re-launches); the newest is shown. All tracked models →
3 stories about Qwen Image 2.1
-
Alibaba releases Qwen-Image-2.1 with transparent background support
Alibaba's Qwen team released Qwen-Image-2.1 on September 20, 2026. This image generation model combines creation and editing in a single system, allowing users to generate images with transparent backgrounds directly.…
1 sourcenote.com -
Alibaba releases Qwen-Image-2.1 for open-source image generation and editing
Alibaba’s Qwen team launched Qwen-Image-2.1, an open-source AI model that merges text-to-image creation and image editing into one system. A standout feature is native transparency support, allowing users to generate…
2 sourcesnote.comanalyticsinsight.net -
Alibaba's Qwen-Image-2.1 claims to beat closed models in image generation
Alibaba's Qwen AI team released Qwen-Image-2.1, an open‑weight image generation and editing model with 7 billion parameters. The team says it outperforms most closed models on its own benchmark, though independent…
3 sourcesTom's HardwareMarkTechPostThe Decoder
