GPT Image 1.5 vs Nano Banana Pro: Which is Better
A comparison of two leading AI image generation and editing models - OpenAI's GPT Image 1.5 and Google/DeepMind's Nano Banana Pro. The article covers the core capabilities, features, and typical use cases of each model.
Why it matters
The comparison of these two leading AI image models provides valuable insights for businesses and creators looking to leverage advanced image generation and editing capabilities.
Key Points
- 1GPT Image 1.5 focuses on fast, instruction-following image generation and editing with improved detail control
- 2Nano Banana Pro aims for high-quality, realistic image generation and editing with strong semantic grounding and layout/text fidelity
- 3GPT Image 1.5 is up to 4x faster than previous OpenAI models, while Nano Banana Pro offers very fast generation at 1K resolutions
- 4The models cater to different use cases - GPT Image 1.5 for expressive/stylistic tasks, Nano Banana Pro for enterprise creative production and technical diagrams
Details
The article compares two leading AI image generation and editing models - OpenAI's GPT Image 1.5 and Google/DeepMind's Nano Banana Pro. GPT Image 1.5 is positioned as a production-ready engine with faster generation/editing speeds, stronger instruction following, and improved preservation of image elements across edits. It's well-suited for product catalog generation, iterative photo retouching, and brand-preserving edits. Nano Banana Pro leverages Gemini 3 Pro's multimodal reasoning to produce contextually consistent images, with high-resolution 4K outputs, accurate multi-language text rendering, and an integrated editing UI. It's optimized for enterprise creative production, technical diagrams, and multilingual marketing materials. The article provides a detailed comparison of the models across key categories like core focus, parent architecture, speed, and image quality.
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