GPT Image 2.5 vs Nano Banana Pro
A practical comparison of two image models: what each does best, what it costs, and how they differ on the same prompts.
Quick verdict
OpenAI
OpenAI’s latest image model: sharp detail, readable text and faithful edits.
Choose GPT Image 2.5 for
- Posters, ads and infographics with exact copy
- E-commerce product shots from reference photos
- UI mockups and website imagery
Google’s Gemini 3 Pro Image: photoreal scenes with world knowledge, up to 4K.
Choose Nano Banana Pro for
- Photoreal lifestyle and portrait images
- Image editing and multi-reference compositing
- Infographics that need factual detail
Specs side by side
| Spec | GPT Image 2.5 | Nano Banana Pro |
|---|---|---|
| Developer | OpenAI | |
| Type | image | image |
| Where to use it | AiLoft web app (Flare and Sunburst variants), OpenAI API | AiLoft web app, Gemini app, Gemini API / Vertex AI |
| Price | 30–80 credits / image | 10 credits / image |
| Open weights | No | No |
| Resolutions | 1K · 2K · 4K | 1K · 2K · 4K |
| Aspect ratios | Auto · 1:1 · 2:3 · 3:2 · 3:4 · 4:3 · 9:16 · 16:9 · 21:9 · 8:9 · 9:8 · 16:27 · 27:16 | 1:1 · 2:3 · 3:2 · 3:4 · 4:3 · 9:16 · 16:9 |
| Reference / start images | Yes | Yes |
| Transparent background | Yes | No |
Same prompt, side by side
Each test stresses a different skill. Click “Run both” to send the prompt to both models at once — results appear next to each other.
Text rendering
What it testsSpelling, kerning and layout of a multi-line headline.
A minimalist concert poster for a jazz night called "BLUE HOUR SESSIONS", date "FRI 14 NOV", deep navy background, a single brass trumpet lit by a warm spotlight, Swiss-style typography, generous negative space
Photorealism
What it testsSkin texture, natural light and believable depth of field.
Candid street portrait of an elderly fisherman mending a net at golden hour, weathered skin, salt in his beard, harbor bokeh behind him, shot on 85mm f/1.8, natural color grading
Product shot
What it testsMaterials, reflections and clean e-commerce lighting.
Premium product photo of a frosted glass perfume bottle with a brushed gold cap on a travertine plinth, soft window light from the left, subtle shadow, beige seamless backdrop, 1:1
Complex scene
What it testsCounting objects and placing many elements correctly.
Isometric illustration of a tiny cozy bookshop: three shelves, a sleeping orange cat on the counter, a red bicycle outside the door, two customers reading, warm evening lights, pastel palette
Strengths and limitations
GPT Image 2.5
- Best-in-class text rendering for posters, labels and infographics
- Precise instruction following for multi-element layouts
- Strong reference fidelity for product and character edits
- Transparent backgrounds for cut-outs and compositing
- Costs more per image than Nano Banana models
- Very wide ratios (27:16, 16:27, 9:8, 8:9) are limited to 1K
- Stricter safety filters than open-weight models
Nano Banana Pro
- Photorealism with accurate lighting and materials
- Blends up to several reference images into one scene
- Keeps characters consistent across edits
- Flat price for 1K, 2K and 4K output
- No transparent background output
- Fewer aspect ratios than GPT Image 2.5
- Slower than Nano Banana 2 on simple prompts
Real examples
GPT Image 2.5 examples
FAQ
Is GPT Image 2.5 better than Nano Banana Pro?
Neither wins everywhere. GPT Image 2.5’s standout strength: best-in-class text rendering for posters, labels and infographics. Nano Banana Pro’s standout strength: photorealism with accurate lighting and materials. The quickest way to decide is to run your own prompt on both.
Which is cheaper, GPT Image 2.5 or Nano Banana Pro?
GPT Image 2.5: 30–80 credits / image Nano Banana Pro: 10 credits / image
Can I use GPT Image 2.5 and Nano Banana Pro in one place?
Yes. In AiLoft’s compare mode you select both GPT Image 2.5 and Nano Banana Pro, write one prompt, and get both results side by side. Each model is charged at its normal credit price.
Are GPT Image 2.5 and Nano Banana Pro open source?
GPT Image 2.5 is closed. Nano Banana Pro is closed.
Stop guessing — compare on your own prompt
Pick up to 4 image models (or 3 video models), write one prompt, and see every result side by side.