Alibaba's Qwen-Image-3.0-Pro lands at #6 on the Artificial Analysis Image Editing Leaderboard and #9 on the Text to Image Leaderboard, up 83 and 48 Elo points on the previous Qwen Pro generation

Qwen-Image-3.0 is the third generation of Alibaba's Qwen image family, spanning two models: Qwen-Image-3.0-Pro, the flagship with agent-based prompt rewriting, and Qwen-Image-3.0, which Alibaba positions as the same capabilities with faster generation for high-volume use. Qwen centers the model’s capabilities on realism and information density: prompts of up to 4.5k tokens, text rendered precisely at sizes as small as 10 pixels, and native rendering of 12 languages.

In the Artificial Analysis Image Arena, Qwen-Image-3.0-Pro debuts at #6 on the Image Editing Leaderboard, behind only Microsoft's MAI-Image-2.5-Pro and MAI-Image-2.5, Reve 2.1, and OpenAI's GPT Image 2 and GPT Image 1.5. On the Text to Image Leaderboard it debuts at #9, just behind Google's Nano Banana 2 Lite and ahead of ByteDance's Seedream 5.0 Pro.

This is a leap over the previous generation: Qwen-Image-3.0-Pro sits 83 Elo points above Qwen-Image-2.0-Pro in Image Editing (#34 to #6) and 48 points above it in Text to Image (#12 to #9). The faster Qwen-Image-3.0 lands at #11 in Text to Image and #15 in Image Editing, up over 135 and nearly 100 Elo points on Qwen-Image-2.0.

Pricing via Alibaba Cloud Model Studio is $0.04 per image at 1K resolution for Qwen-Image-3.0-Pro and $0.075 at 2K ($40 and $75 per 1k images), while Qwen-Image-3.0 is $0.03 per image at both resolutions ($30 per 1k images). Both models are available via the Alibaba Cloud Model Studio API and free to try in Qwen Studio.

Congratulations to @Alibaba_Qwen on the release!

See below for comparisons between Qwen-Image-3.0-Pro and other leading models in the Artificial Analysis Image Arena 🧵