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Blog/models·8. Okt. 2026·5 Min.·vom eroq-Team

GPT Image 2.5 vs Nano Banana Pro — which flagship to pick

GPT Image 2.5 Sunburst against Nano Banana Pro on eroq: in-image text, fidelity, prompt understanding, price and render time, and which to use for which job.


OpenAI's GPT Image 2.5 Sunburst and Google's Nano Banana Pro are the two flagships people compare first, and on eroq they are one dropdown apart. The short answer: Sunburst is the precise, affordable workhorse, positioned for clean layouts and the sharpest in-image text of the lineup at 31 credits / image. Nano Banana Pro is the top-fidelity finisher, with the sharpest detail and strongest prompt understanding of the Nano Banana line at 124 credits / image. Most projects end up using both: Sunburst for the volume, Pro for the frame that ships. Here is how to decide image by image.

Side by side

GPT Image 2.5 Sunburst Nano Banana Pro
Maker OpenAI Google
Price 31 credits / image 124 credits / image
At the entry pack about $0.31 about $1.24
Typical render about 15 seconds about 25 seconds
Positioned for prompt adherence, clean composition, in-image text highest fidelity, accurate text, prompt understanding
Inputs on eroq text prompt text prompt
Formats five, same price five, same price
Plan any plan any plan

The bottom three rows are a tie. Both are text-to-image only, both are moderated upstream by their providers (a refused prompt returns content_blocked and costs nothing), both take one to four takes per run and both answer the same API call. The decision comes down to four things: text, fidelity, price and speed.

Text in the image

Both render legible text; with Flux 3 Image, they are the lineup's go-to models for it. The practical split depends on where the words live:

  • Headline-driven designs (posters, social tiles, ad banners, UI mockups): Sunburst. Layout control and lettering are its home turf, and at its price you can afford four takes to land a perfectly spelled one.
  • Text inside a detailed world (a label on a bottle in a busy bar scene, a street sign in a crowded market, titles on book spines across a shelf): Nano Banana Pro, where the text has to survive among dense detail.

The prompting rules are the same on both: quote the exact words, keep them short, name the type style and give the text a surface to sit on. The guide to legible AI text covers what fails and why.

Fidelity and complex prompts

Nano Banana Pro's edge is positioned around fidelity and prompt understanding. When the prompt is long and constraint-heavy (six named objects, a set color for each, a light direction, a lens and two lines of text), Pro is the one built to keep every constraint at once. Sunburst follows prompts closely too, but it is happiest with one clear idea per image and a clean composition.

A practical heuristic: count the constraints that must all be true for the image to work. A handful, and Sunburst will do. A long checklist, and it is Pro territory.

Price and speed

The arithmetic is blunt. 124 credits buy one Nano Banana Pro take or 4 Sunburst takes. On time, Sunburst is typically about 15 seconds and Pro about 25 (both planning estimates). Over a project the gap compounds: a hundred Sunburst renders cost 3,100 credits, a hundred Pro renders 12,400 credits, against 6,000 credits in a Creator month at $49.

That is why the two pair so well. Explore and iterate on Sunburst, where takes are cheap and quick, then send the winning prompt to Pro for the final. The same logic works inside Google's family, drafting on Nano Banana 2.1: see Nano Banana Pro vs 2.1.

A two-minute test before you commit

Run one prompt on both: two Sunburst takes and one Pro take, 186 credits in total. Something like:

A vintage-style travel poster for a mountain railway: a red train crossing a stone viaduct over a deep gorge, pine forests and snowy peaks, a small station sign reading "HIGH PASS", the headline "RIDE THE HIGH LINE" in a bold condensed sans at the top, warm afternoon light, screen-print texture.

Then check four things:

  1. Spelling at full size, on both the headline and the small sign.
  2. Every constraint: the train is red, the viaduct is stone, the headline sits at the top.
  3. The area you will crop to, at the size it will be used.
  4. Whether the extra detail shows at delivery size. If you cannot see the difference where the image will live, Sunburst wins on price.

Where Flare fits

GPT Image 2.5 Flare is Sunburst's dramatic sibling at 31 credits / image. If what you like about a Pro render is its mood rather than its detail, Flare may be the cheaper answer. Sunburst vs Flare covers that choice.

Pick by job

  • Social post with a headline: Sunburst.
  • An ad set across five formats: Sunburst, since the cost multiplies by every format and take.
  • UI or app mockup: Sunburst.
  • Packaging hero for the launch page: Nano Banana Pro.
  • Crowded scene with signage: Nano Banana Pro.
  • Book cover final: Nano Banana Pro, or Flare for a moodier take.
  • Storyboard frames: Sunburst.
  • A shot of your actual product: neither, because both render from text alone. Use Eroq One with photos of the product as references; AI product photography in 2026 walks through it.

Both are in the image studio, so the cheapest way to settle the question for your project is to run the two-minute test today.

FAQ

Is GPT Image 2.5 better than Nano Banana Pro?

Neither wins everywhere. On eroq, GPT Image 2.5 Sunburst is the pick for layouts and in-image text at a lower price, and Nano Banana Pro is the pick for maximum fidelity and long, constraint-heavy prompts. Many projects draft on Sunburst and finish on Pro.

Which is cheaper, GPT Image 2.5 or Nano Banana Pro?

GPT Image 2.5: Sunburst is 31 credits / image and Flare 31 credits / image, while Nano Banana Pro is 124 credits / image, the priciest image model on eroq. Neither needs a plan, and failed renders refund automatically.

Which is faster, GPT Image 2.5 or Nano Banana Pro?

GPT Image 2.5 Sunburst is typically about 15 seconds a take and Nano Banana Pro about 25. Both figures are planning estimates; a busy queue can add time to either.

Which is better for text in images, GPT Image 2.5 or Nano Banana Pro?

For headline-led designs such as posters, banners and UI mockups, Sunburst, which eroq positions for the sharpest in-image text of the lineup. For short text embedded in a dense, detailed scene, Nano Banana Pro. On both, quote the exact words and keep them short.

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