GPT Image 1.5 vs Nano Banana 2

GPT Image 1.5 is OpenAI's image generation model — the same model powering image creation in ChatGPT-4o. It excels at accurate text rendering inside images, image editing with mask-based inpainting, and complex multi-object scenes (10–20 distinct objects). Three quality levels (low/medium/high) let you balance speed and detail. Outputs in PNG, JPEG, or WebP with optional background transparency.

Accurate Text Rendering

Renders legible, correctly spelled text inside images — signs, labels, posters, UI mockups, and book covers without the glitchy text issue.

Image Editing & Inpainting

Edit existing images using mask-based inpainting — replace specific areas, change backgrounds, or add/remove objects while preserving the rest.

Multi-Object Scenes

Generates scenes with 10–20 distinct objects with consistent spatial relationships, accurate details, and world-knowledge integration.

Nano Banana 2 is Google's Gemini 3.1 Flash Image model. It creates images from a text prompt and edits existing ones from plain-language instructions — say 'add a sunset glow', 'replace the chair with a throne' or 'remove the background' and it applies the change. Attach reference images and it switches to editing automatically. Nano Banana 2 Lite is a lighter, cheaper variant.

Intuitive Natural Language Editing

Describe the change in plain language and Nano Banana 2 applies it — object swaps, background changes, facial refinements, style shifts.

Text-to-Image Too

Not only edits: describe a scene from scratch and Nano Banana 2 draws it; attach references and it edits instead.

Precision Object & Background Editing

Pixel-level object replacement, background modification, and facial refinement without distortions across iterations.

Physics-Aware Outputs

Edits maintain coherent lighting, natural shadows, and correct spatial relationships — outputs look real, not pasted.