Nano Banana Pro vs Qwen Image Edit 2511

Head-to-head across 1 challenge

Nano Banana Pro

66.7%

win rate

Ties

1.8%

Qwen Image Edit 2511

31.6%

win rate

66.7% 1.8% ties 31.6%

Challenge Results

Man and Car in California

Editing
Edit instruction

“Make a photo of the man driving the car down the California coastline”

Source
Nano Banana Pro
Qwen Image Edit 2511
67% wins 2% ties 32% wins

AI Judge Analysis

Nano Banana Pro

  • + Excellent preservation of the specific Rolls-Royce Phantom Drophead Coupe exterior details.
  • + High consistency with the man's facial features and specific hairstyle from the source.
  • + Great composition that captures both the car and the scenic California coastline.
  • The man's hand on the steering wheel is poorly rendered with warped fingers.
  • The car interior has some perspective and layout inconsistencies near the dashboard.

Qwen Image Edit 2511

  • + Successfully merges the subject and car into the new environment.
  • + Good lighting and shadows that match the outdoor coastal setting.
  • + Preserves the man's outfit and hairstyle accurately.
  • The exterior of the car no longer looks like the source Rolls-Royce, appearing more like a generic modern convertible.
  • The man's left hand on the steering wheel is significantly distorted.
  • The scale of the man relative to the car interior feels slightly oversized.

Verdict: Both models do a great job of extracting the subject and placement within a new environment. Gemini 3 Pro Image Preview is the winner because it identifies and preserves the specific make and model of the car from the source image (the Rolls-Royce), whereas Qwen Image Edit 2511 changes the car into a more generic vehicle. While both models struggle with hand-to-steering-wheel anatomy, Gemini's overall composition and vehicle preservation are superior.

Nano Banana Pro

Gemini 3 Pro with image generation capabilities. Combines advanced reasoning with the ability to generate and edit images.

Qwen Image Edit 2511

Alibaba's Qwen image editing model for instruction-based image modifications and transformations