Mixer AI › Knowledge Base › Comparison › GPT Image 2.5 vs Nano Banana Pro: technical and visual comparison

GPT Image 2.5 vs Nano Banana Pro: technical and visual comparison

This compares two models that are available in the current Mixer AI catalog. The table below is built from current product controls, while the visual section shows what to inspect with the same inputs and prompt instead of inventing one universal winner.

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Key differences

GPT Image 2.5: Flare for exploring ideas, Sunburst for demanding edits, with a shared image creation workflow.

Nano Banana Pro: For images that need composition, references and on-image text to work together.

Start with the specification table: it reflects current modes, input media, duration, resolution, aspect ratios and a normalized price where a fair comparison is possible.

Specifications

Spec	GPT Image 2.5	Nano Banana Pro
Model variants	Flare / Sunburst	Nano Banana Pro
Generation modes	from text / photo editing	from text / photo editing
Input photos	up to 16	up to 8
Transparent background	Yes	No
Resolutions	1K / 2K / 4K	1K / 2K / 4K
Aspect ratios	9:16 / 16:9 / 1:1 / auto / 3:2 / 2:3 / 4:3 / 3:4 / 21:9 / 27:16 / 16:27 / 9:8 / 8:9	9:16 / 16:9 / 1:1 / auto / 2:3 / 3:2 / 3:4 / 4:3 / 4:5 / 5:4 / 21:9
Prompt limit	20,000 characters	10,000 characters
Price, 1 image · 1K	7 coins	16 coins

What to compare visually

For a fair A/B test, use the same prompt, aspect ratio and references. Inspect more than overall style: object preservation, geometry, faces and hands, fine detail, text in the frame and unintended changes during editing.

What to inspect with GPT Image 2.5

Flare for exploring ideas, Sunburst for demanding edits, with a shared image creation workflow.

Flare and Sunburst; up to 16 input photos; 1, 2 or 4 results.
1K, 2K and 4K, with 13 aspect-ratio options including Auto. These are its own controls, not GPT Image 2's restrictions.
A variant name does not guarantee edit accuracy. Check faces and lettering.
Do not assume every option in another platform is available here; use the Mixer AI controls.

What to inspect with Nano Banana Pro

For images that need composition, references and on-image text to work together.

Text or up to 8 input photographs.
1K, 2K or 4K, 11 aspect ratios and 1, 2 or 4 results per request.
Text capability does not guarantee correct spelling or an exact brand typeface.
Eight photos is fewer than Nano Banana 2 accepts; include only useful references.

How to run a fair comparison

Lock one prompt, aspect ratio and a duration or resolution that both models actually support.
If input modes differ, compare the shared workflow first and test each model's extra controls separately.
Run more than one attempt: a single output reflects one seed, not the model's overall consistency.
Score prompt adherence, visual artifacts, reference preservation and the cost of the setting you would really use separately.

What we compare

GPT Image 2.5

Flare for exploring ideas, Sunburst for demanding edits, with a shared image creation workflow.

Nano Banana Pro

For images that need composition, references and on-image text to work together.

FAQ

How should I compare GPT Image 2.5 and Nano Banana Pro fairly?

Use a workflow both models share, keep inputs and prompt identical, then run several generations. Compare prompt adherence, visual consistency and the price of the setting you need as separate dimensions.

Are both models available in Mixer AI?

Yes. This page is generated only for models in the current public Mixer AI catalog; if a model leaves the catalog, the automated comparison must stop passing validation.

Which model is better?

There is no universal answer. First eliminate a model that cannot accept the input, duration, resolution or format you need, then compare outputs on your own scene. The table highlights only measurable advantages in individual specifications.