---
title: "Does the AI Model Matter for Image Editing? | ImageQuarry"
url: https://www.imagequarry.com/faq/does-the-model-matter-for-editing/
last_updated: 2026-10-20
---

# Does the model matter for image editing?

Yes, partly. Each model reads an edit in its own way, but the instruction matters as much as the model, so a clear request that says what to change and what to keep helps on any of them.

OpenAI's prompting guide advises saying "change only X" and listing the details to preserve, such as identity, geometry, layout, lighting or labels. A vague instruction can produce a broad change on any model.

Each model was trained differently and has its own defaults, so two models can read the same edit in different ways. The practical test is your own request: run it, look at what changed, and compare.

ImageQuarry works with four models, with Nano Banana 2.1 as the default, and you can choose a different model when you want a different result for the same request.

_Sources: OpenAI image generation and prompting guides; Google Gemini image generation documentation; ImageQuarry homepage. Checked October 20, 2026._

Next step: [How specific should an edit instruction be?](https://www.imagequarry.com/faq/how-specific-should-an-edit-instruction-be/)

## Related questions

- [Which AI image model is best?](https://www.imagequarry.com/faq/which-ai-image-model-is-best/): It depends on the task; compare on your own request.
- [Which AI models does ImageQuarry use?](https://www.imagequarry.com/faq/which-ai-models-does-imagequarry-use/): Four models, with Nano Banana 2.1 as the default.
- [Why does AI change my whole image when I ask for one change?](https://www.imagequarry.com/faq/why-does-ai-change-my-whole-image/): Broad instructions invite broad changes.
- [How specific should an edit instruction be?](https://www.imagequarry.com/faq/how-specific-should-an-edit-instruction-be/): Name the change, the place and what to keep.

Last reviewed 2026-10-20 by ImageQuarry.

## Try the same edit on another model

Ask for a change in ImageQuarry, then choose a different model if you want a different result.