• Home
  • Technology
  • Gaming
  • Entertainment
  • World & Business
  • Science
  • Sports
  • AI
HomeTechnologyGamingEntertainmentWorld & BusinessScienceSportsAI
  • HomeTechnologyGamingEntertainmentWorld & BusinessScienceSportsAI
    • Home
    • Technology
    • Gaming
    • Entertainment
    • World & Business
    • Science
    • Sports
    • AI
    AI
    Report

    Qwen-Image-2.1 reportedly leads open-weights models on two image leaderboards

    Artificial Analysis ranks it 18th overall in both tests; Qwen Image 2.0 placed 72nd and 58th, respectively.

    AA
    6 Sources, 6h ago, first seen 6h ago

    TLDR

    Artificial Analysis says Alibaba’s Qwen-Image-2.1 ranks 18th overall—and first among open-weights models—on its text-to-image and image-editing leaderboards. It says the September 20 release combines image generation and editing, with native 2K output and transparent-image support. The Qwen Research License requires a separate license for commercial use.

    Combined views

    26.7K

    6 Sources, first seen 6h ago

    Combined views

    26.7K

    6 Sources, first seen 6h ago

    392 likes
    392 likes
    23 comments
    102 saves
    31 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    Featured Source
    23 comments
    102 saves
    31 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    Today's Rank

    —

    Not ranked yet

    Today's Rank

    —

    Not ranked yet

    6 Sources

    @ArtificialAnlysAlibaba's Qwen-Image-2.1 is the new #1 open weights model on both the AA-Image leaderboards Qwen-Image-2.1 is Alibaba's latest image model, released with open weights on September 20. It has a 7B parameter visual generation component and handles Text to Image and Image Editing in a single model, with native 2K output and native transparent (RGBA) image generation and editing. The weights are released under the Qwen Research License, which requires a separate license for commercial use. In the absence of major inference providers hosting this model at time of launch, we evaluated Qwen-Image-2.1 by hosting it locally. Qwen-Image-2.1 ranks #18 on AA-Image-T2I v2.0 and on AA-Image-Editing v2.0, and leads all open weights models on both, ahead of Ideogram 4.0 (Quality) in Text to Image and HunyuanImage 3.0 Instruct in Image Editing. It is a large step up on Qwen Image 2.0, climbing from #72 to #18 in AA-Image-T2I v2.0 and from #58 to #18 in AA-Image-Editing v2.0. The weights are available on Hugging Face and ModelScope, with day-0 support in Diffusers, ComfyUI, vLLM-Omni, SGLang and LightX2V. Congratulations to @Alibaba_Qwen on the release! See below for our analysis and example outputs of Qwen-Image-2.1 in the Artificial Analysis Image Arena 🧵

    6 Sources

    @ArtificialAnlysAlibaba's Qwen-Image-2.1 is the new #1 open weights model on both the AA-Image leaderboards Qwen-Image-2.1 is Alibaba's latest image model, released with open weights on September 20. It has a 7B parameter visual generation component and handles Text to Image and Image Editing in a single model, with native 2K output and native transparent (RGBA) image generation and editing. The weights are released under the Qwen Research License, which requires a separate license for commercial use. In the absence of major inference providers hosting this model at time of launch, we evaluated Qwen-Image-2.1 by hosting it locally. Qwen-Image-2.1 ranks #18 on AA-Image-T2I v2.0 and on AA-Image-Editing v2.0, and leads all open weights models on both, ahead of Ideogram 4.0 (Quality) in Text to Image and HunyuanImage 3.0 Instruct in Image Editing. It is a large step up on Qwen Image 2.0, climbing from #72 to #18 in AA-Image-T2I v2.0 and from #58 to #18 in AA-Image-Editing v2.0. The weights are available on Hugging Face and ModelScope, with day-0 support in Diffusers, ComfyUI, vLLM-Omni, SGLang and LightX2V. Congratulations to @Alibaba_Qwen on the release! See below for our analysis and example outputs of Qwen-Image-2.1 in the Artificial Analysis Image Arena 🧵