Best AI Models for Product Photography in 2026 (Tested on the Same Product)

If you want a new photo of your product without booking a studio, AI image models can do it. You give the model a photo of your real product, describe the scene you want, and it builds a new image around your product.

These are the models we recommend right now, and the best ones we found for this job: GPT Image 2.5, Nano Banana 2.1, Nano Banana Pro, Seedream 5.0 Pro, FLUX 3 Image and Ideogram v4.5. This article explains what each one does, where you can use it, what it costs, and what happened when we gave the same two products to all of them.

The best models right now

GPT Image 2.5 (Flare) — OpenAI, September 2026

OpenAI released GPT Image 2.5 in September 2026, in two versions: Flare, which is faster and cheaper, and Sunburst, which is slower but more accurate. Both work from a reference photo. You give it a photo of your product and ask for a new background or a new scene; the product stays the same. It can also remove the background and give you a file with a transparent background.

Nano Banana 2.1 — Google, October 2026

Google released Nano Banana 2.1 on October 6, 2026. It accepts up to 14 reference photos, and it can keep up to four people and ten objects the same across several images — useful if you want the product in more than one shot, or the same model in all of them. Output is 1K, 2K or 4K. It can also search Google Images before generating, which helps with real objects. Google itself notes that small text at 1K is still a weak point.

Nano Banana Pro — Google (Gemini 3 Pro Image)

This is Google's flagship image model, and its specialty is text: it keeps lettering readable in dozens of languages, which matters when your product has a printed label that other models often garble. It also gives you more control over lighting, camera angle and colour. It accepts up to 14 reference photos and outputs up to 4K. It costs roughly three to four times Nano Banana 2.1, so it makes sense for the one or two photos where the label has to be right.

Seedream 5.0 Pro — ByteDance Seed, July 2026

ByteDance released Seedream 5.0 Pro on July 8, 2026. Its main feature is editing one area instead of the whole image: you mark the part you want changed with a point, a lasso, a box or a rough sketch, and it changes only that part while matching the light of the rest of the photo. It can also swap a colour or a material, combine up to ten reference photos, write text in more than ten languages, and split the result into separate editable layers.

FLUX 3 Image — Black Forest Labs, October 2026

FLUX 3 is Black Forest Labs' model, and the image version became generally available on October 1, 2026. Generating and editing use the same endpoint — the prompt decides which one happens. It accepts up to ten reference photos, understands bounding boxes written in the prompt (so you can point at the part you want changed), makes pixel-exact local edits, and outputs up to 4K in 15 aspect ratios.

Ideogram v4.5 — Ideogram, September 2026

Ideogram 4.5 came out on September 30, 2026, and it is built for editing rather than generating from scratch. When you edit the same image several times, the parts you did not touch are copied from the original instead of being drawn again, so the photo does not slowly change. It supports masks, up to four reference photos (three if you use a mask), 2K output and four quality levels. It can also rewrite text in the image while keeping the original lettering.

How we tested

We did not only read the spec sheets. We gave the same job to each of them.

For each product we used one photo: a 30 ml serum dropper bottle and a 350 ml ceramic mug with a printed design. Both were 2048×2048 on a plain grey background. Every model received the same photo.

Every model also received the same prompt: a description of the scene plus one sentence saying the product may not change. That sentence is the main part of the prompt system we use for every set. We used four scenes, and each model returned 4:3 images at its normal quality setting.

Two things to keep in mind. This is two products and four prompts, so your own product may behave differently. And prices and features change often, so check the model page before you decide. How the results look is for you to judge.

The same product, six models

Same reference photo and same prompt, run through every model below, with no retouching. Each prompt started with the same sentence — Keep the product exactly the same. — and each panel is labelled with the model that made it.

Scene 1 — serum, presented to camera. A woman holds the bottle up at chest height, the label facing the camera, her face slightly out of focus behind it, soft daylight from the left.

Scene 2 — serum, in hand. A close-up in profile against a pale grey background, the dropper cap and the label readable, soft light from the upper right.

Scene 3 — mug, kitchen table. A pale wooden table with a linen napkin and bread on a small plate, bright morning light from the side, a simple kitchen blurred behind.

Scene 4 — mug, kitchen counter. A clean counter with a steel kettle and a jar of coffee beans, a little steam, soft daylight from the right, pale grey and wood tones.

When you compare the images, look at four things: is the label still readable, is the material the same material, does the light look like a real photo, and is the product the largest thing in the frame.

Where to run these models

You do not need to build anything. There are two ways.

One API for all six: fal.ai. This is where we ran the test. They all sit behind one account, and each model has a page where you can try it. If you want to test several models without opening several accounts, this is the fastest way. Replicate hosts most of the same models if you prefer that platform.

Straight from the labs. OpenAI serves GPT Image 2.5 (Flare and Sunburst) through the Images API and inside ChatGPT. Google serves Nano Banana 2.1 in the Gemini API, Google AI Studio and the Gemini app, with Nano Banana Pro as the Gemini 3 Pro Image model. ByteDance ships Seedream 5.0 Pro through BytePlus ModelArk. Ideogram has its own app and API. Black Forest Labs serves FLUX 3 Image through the BFL API.

One note about price. Many subscription apps use exactly these models and add nothing but an interface. Paying for a workflow you like is fine. Paying five or ten times the per-image price for the same model is not.

What they cost

These are the prices per image at the settings we used, in October 2026. Prices change, so check the model page before you plan a budget. The last column shows what an eight-photo listing set costs at a normal quality setting — that is the number most sellers care about.

The gap is large: the same eight photos cost about seven cents with one model and $1.20 with another. Choosing a higher quality setting inside the same model can multiply the price again.

What to do with this

You do not have to choose one model forever. Take one straight-on photo of your product, run the same prompt through two or three of these models, and check the label in the results. Use the model that gets your packaging right.

One product photo in, a whole listing set out. That's the workflow ExerList runs for you: upload a product photo and it generates the core set of listing images plus SEO-ready copy. Get your first listing free → — 2 free listings, no credit card required.