Mixer AI
GPT Image 2.6 vs Nano Banana 2.1: specs and price
GPT Image 2.6 — input photos: up to 16.
When to choose GPT Image 2.6 and when Nano Banana 2.1
GPT Image 2.6
- Input photos: up to 16 vs up to 10 for Nano Banana 2.1
- Aspect ratios: 16 vs 15 for Nano Banana 2.1
Nano Banana 2.1
- The table shows no measurable edge for Nano Banana 2.1: judge it by the result on your own scene.
Key differences
Specifications
| Spec | GPT Image 2.6 | Nano Banana 2.1 |
|---|---|---|
| Model variants | Flare / Sunburst | Nano Banana 2.1 |
| Generation modes | from text / photo editing | from text / photo editing |
| Input photos | up to 16 | up to 10 |
| Resolutions | 1K / 2K / 4K | 1K / 2K / 4K |
| Aspect ratios | 9:16 / 16:9 / 1:1 / auto / 3:2 / 2:3 / 4:3 / 3:4 / 5:4 / 4:5 / 2:1 / 1:2 / 21:9 / 9:21 / 3:1 / 1:3 | 9:16 / 16:9 / 1:1 / auto / 2:3 / 3:2 / 1:4 / 4:1 / 3:4 / 4:3 / 4:5 / 5:4 / 1:8 / 8:1 / 21:9 |
| Prompt limit | 20,000 characters | 20,000 characters |
| Price, 1 image · 1K | — coins | — coins |
Price at the same settings
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 2.6
Flare for fast series, Sunburst for careful edits: 16 aspect ratios, up to 16 photos and 4K.
- Flare and Sunburst: from text, or editing when 1 to 16 photos are added.
- 1K, 2K or 4K quality; 1, 2 or 4 results per run.
- A transparent background works at 1K only: the switch is hidden at 2K and 4K.
- Check faces, lettering and brand elements at full size: a variant name does not guarantee exact preservation.
What to inspect with Nano Banana 2.1
The new Nano Banana: up to 10 references, 15 aspect ratios and quality up to 4K.
- From text or from photos: 1 to 10 JPG, PNG or WebP images, up to 30 MB each.
- 1K, 2K or 4K; 15 aspect ratios, including Auto and very narrow or wide ones.
- Ten references is a ceiling, not a recommendation for every task.
- More pixels do not fix mixed-up characters or a wrong product shape.
How to run a fair comparison
- Give both models one prompt, one aspect ratio and, for editing tests, the same source photo.
- Look at the small things: hands, small text, product edges and logos fail differently in every model.
- Generate at least three variants per model: one picture shows one seed, not the usual quality.
- Compare cost at the resolution you will actually publish, not at each model's cheapest setting.
Sources
Prices, availability and specifications come from the Mixer AI catalog. This is not an independent test: try both models on the same task before choosing.
What we compare
FAQ
Which is cheaper: GPT Image 2.6 or Nano Banana 2.1?
Price, 1 image · 1K: the prices of GPT Image 2.6 and Nano Banana 2.1 are in the comparison table and always match the current tariff. The total depends on your settings: the price of the chosen options is shown in the interface before you run.
How does GPT Image 2.6 differ from Nano Banana 2.1?
GPT Image 2.6 — input photos: up to 16.
How should I compare GPT Image 2.6 and Nano Banana 2.1 fairly?
Give both models the same prompt, aspect ratio and source photo, generate three variants each and compare details: hands, text, object edges. Compare price at the resolution you will publish.
Are both models available in Mixer AI?
Yes. Both models are in the Mixer AI image catalog; the launch button on the page opens Canvas on a computer and the Studio on a phone. The page exists only for models in the current catalog.
Which model is better?
There is no single winner. First rule out the model that does not accept the inputs you need (references, editing) or the resolution you need, then compare results on your own task. The table highlights only measurable differences.