ChatGPT Image 2 (GPT Image 2) and nano-banana-pro are two of the strongest AI image generation models available on aicut — and they're genuinely different. Choosing between them isn't about which is better overall; it's about which fits your specific output.

The Core Difference

	ChatGPT Image 2	nano-banana-pro
Architecture	Language-model-driven	Diffusion-based
Prompt processing	Reads full sentences, follows detailed instructions	Responds to weighted concepts and style tokens
Strengths	Instruction fidelity, text in images, precise placement	Aesthetic richness, stylized output, artistic interpretation
Best for	Product photography, text content, complex scenes	Creative, artistic, style-forward content
Speed	Moderate	Fast

Where ChatGPT Image 2 Wins

Complex multi-part prompts

If your prompt has 5+ distinct elements that all need to appear correctly, GPT Image 2 executes more reliably. Diffusion models like nano-banana-pro interpret prompts through learned patterns — when you add many specific elements, some are dropped or merged.

Example prompt:

A white lab coat hanging on a hook beside a wooden door. 
A stethoscope draped over the collar. A small badge on the breast pocket 
reading "DR. CHEN". Morning light through a window at the far end of 
the hallway.

GPT Image 2 will render most or all of these elements correctly. nano-banana-pro may get the general scene but drop specific details (the badge text, the specific placement).

Text in images

This is GPT Image 2's clearest advantage. When your image requires readable, correctly spelled text — signs, labels, posters, menus, book titles — GPT Image 2 is the right model. Diffusion models frequently misspell text or produce visually plausible but nonsensical character strings.

Use GPT Image 2 for:

Store signage or labels
Poster or print designs with text
Book covers with legible titles
Packaging with brand names
Infographic-style images with readable labels

Photorealistic product and scene accuracy

For product photography requiring specific material properties, surface descriptions, and lighting conditions, GPT Image 2 translates instructions predictably. "Dark walnut surface", "white marble with grey veining", "brushed stainless steel" all render as described.

Where nano-banana-pro Wins

Aesthetic richness and visual style

For creative, artistic, or visually expressive content, nano-banana-pro frequently produces more interesting output than GPT Image 2. Its diffusion-based generation has more of what creators describe as "painterly" quality — a visual depth and aesthetic character that GPT Image 2's more literal rendering doesn't match.

Examples where nano-banana-pro often leads:

Fantasy or concept art
Portrait photography with mood and atmosphere
Fashion editorial style images
Dark, moody, high-contrast compositions
Surreal or stylized visual content

Style token responsiveness

nano-banana-pro responds strongly to style-referencing language: "in the style of [painter]", "cinematic film grain", "low-fi photography", "neon noir". These style directives produce consistent, recognizable results. GPT Image 2 interprets them more literally, often producing a less distinctive aesthetic.

Speed for iteration

nano-banana-pro generates faster than GPT Image 2, which makes it better for rapid iteration where you're testing multiple prompt directions and don't need final quality yet.

Head-to-Head: Same Prompt Comparison

Prompt: A lone lighthouse on a rocky coast at storm. Waves crash. Dark clouds. Dramatic.

GPT Image 2: Accurate scene construction, correct lighthouse placement, correctly rendered water physics, realistic storm sky. More photographic, less dramatic in the cinematic sense.
nano-banana-pro: More visually powerful atmospheric quality. The storm feels more cinematic. May have slight inconsistencies in physics (wave direction, rock detail) but the overall impact is stronger.

Winner for this prompt: nano-banana-pro (artistic/atmospheric content where mood matters more than accuracy).

Prompt: A pharmaceutical label reading "METFORMIN 500mg" in black text on a white background, with standard dosage instructions below.

GPT Image 2: Text is readable, correctly spelled, properly formatted. The label looks like an actual pharmaceutical product label.
nano-banana-pro: Text is likely garbled or misspelled. The visual is plausible but the text content is unusable.

Winner for this prompt: GPT Image 2 (any content requiring readable text).

Decision Guide

Choose ChatGPT Image 2 when:

The prompt has 5+ specific elements that must all appear correctly
The image needs readable, correctly spelled text
You're creating product photography with specific material/surface descriptions
Precise spatial placement matters ("in the foreground", "on the left", "hanging above")

Choose nano-banana-pro when:

Aesthetic richness and visual impact matter more than literal accuracy
You're creating artistic, editorial, or stylized content
You need fast iterations to test prompt directions
Style references (painting styles, film aesthetics, illustration styles) are core to the prompt

Test both when:

The prompt is a photorealistic scene without specific text
Interior design, landscape, or architectural content
Portrait photography

Accessing Both on aicut

aicut provides ChatGPT Image 2 and nano-banana-pro from the same model selector — no separate subscriptions. The practical workflow for most creators:

Test prompt direction in nano-banana-pro (faster)
If the output is creative/stylized and good → use nano-banana-pro output
If the output needs more instruction fidelity or has text → generate in GPT Image 2
Compare final candidates from both models before publishing

Key Takeaways

ChatGPT Image 2 wins on instruction fidelity, text in images, and precise scene construction.
nano-banana-pro wins on aesthetic richness, stylized content, and iteration speed.
Neither is universally better — the right model depends on the prompt type.
Both available on aicut with no separate API subscriptions.

Compare ChatGPT Image 2 and nano-banana-pro at aicut — switch between models in seconds to find the stronger output.