Start by sorting AI image editing tools by use case: fixing up an old photo, producing e-commerce images in bulk, or running locally without the cloud are three different paths, and picking the wrong tool costs you round after round of rework. The same image comes out right the first time with the right tool, and takes five tries and still looks off with the wrong one. Below, we split by audience and need first, then give a comparison table — follow it and you'll rarely go wrong.
People who only edit occasionally should pick a free, conversational tool that works right away: restoring an old photo, swapping a passport photo background, illustrating a child's homework — none of that needs installing software or learning parameters; one sentence does it. E-commerce and content teams need volume, stable output, and reusable reference images. Once the free allowance runs out, you have to price per image: a few cents' difference per image adds up to dozens of dollars a month. Only developers and privacy-sensitive users need to consider locally deployed open-source models, and the price is managing the environment and GPU memory yourself — images never leave your machine, but all the maintenance is on you.
| Tool | Best for | What it costs | Watch out for |
|---|---|---|---|
| Nano Banana 2.1 (Google Gemini) | Everyday edits, background swaps, changing text inside an image | Usable with a free Google account; API about $0.0336 per 1K image | The free allowance has a cap — calculate volume first for large batches |
| ChatGPT Images (GPT Image 2) | The most demanding edits, multi-round iteration, text in the image must be exact | Plus at $20 a month; API about $0.21 per image | About six times the price of Nano Banana for roughly 10 more leaderboard points |
| Qwen-Image-Edit-2509 (Alibaba, open source) | Running locally, keeping images off the cloud | The model is free; the cost is your own GPU and electricity | You install it yourself; if edits come out distorted, lock the reference image first and work step by step |
| Seedream 5.0 Pro (ByteDance) | E-commerce: swapping materials and backgrounds, cutting out product shots | API about $0.06 per image | Region-precise editing is its strength — overkill for general edits |
If you only need to edit one image, don't install a local model — setup takes longer than the edit itself. No matter how strong Qwen-Image-Edit-2509's multi-image editing is, it won't win that time back. If you're price-sensitive and need volume, don't stare only at the top of the leaderboard: one image from Nano Banana 2.1 costs a sixth of GPT Image 2, and the quality gap is invisible in everyday use. If you make e-commerce hero images, don't keep retrying with a purely conversational tool — a tool like Seedream, which supports reference images and region selection, gets a finished result in one pass. The decision rule is one line: purpose first, then budget, and only then the leaderboard.