Gemini 3.1 Flash Image vs GPT Image 2: Which Should You Pick?
Both models do text-to-image and image-to-image, both accept up to nine reference images, and both return one image per run. What changes is where the effort goes: Gemini 3.1 Flash Image gives you 1K / 2K / 4K output at a flat 6 / 10 / 12 credits, while GPT Image 2 trades a wider 2 - 25 credit range for tighter layouts and more literal prompt following. Below: the specs, the credit math, and six concrete situations so your next click is an obvious one.
At a glance: the numbers behind both models
Pulled from the same model settings you see in the editor, so nothing here is a marketing estimate.
| Feature | Gemini 3.1 Flash Image Fast, low-cost image generation and editing | GPT Image 2 Text-rich layouts and prompt-faithful compositions |
|---|---|---|
| Best for | Fast iteration, 4K finals, style-first edits | Text-rich layouts, literal prompt following |
| Aspect ratios | 1:1 / 3:4 / 4:3 | 1:1 / 3:2 / 2:3 |
| Quality options | 1K / 2K / 4K | low / medium / high |
| Credits per image | 6 / 10 / 12 | 2 - 25 (by quality) |
| Reference images | Up to 9 | Up to 9 |
| Text rendering | Short labels and one headline; re-check long strings | Multi-line blocks, small print, repeatable typography |
| Editing speed | Quick passes; 1K is the fast lane | Slower at high quality, steadier on complex briefs |
| Typical use case | Social crops, thumbnails, style transfer, large hero shots | Posters and packaging with copy, ad creatives, labelled mockups |
Credits are listed per generated image. One run returns one image, so budget one charge for every variation you keep.
One editor, two models, no commitment up front
You do not have to decide before you start. Both models live in the same editor: pick one from the model dropdown, drop in up to nine reference images if you have them, describe the result, and generate. Gemini 3.1 Flash Image offers three aspect ratios (1:1, 3:4, 4:3) and three resolution tiers (1K, 2K, 4K) for 6, 10 or 12 credits, so the price of a run is known before you press the button. GPT Image 2 replaces resolution tiers with quality tiers - low, medium and high, from 2 to 25 credits - which means you can explore cheaply and spend the large credits only on the frame you actually keep. Because every run returns a single image, the practical rhythm for both is the same: a cheap pass first, one expensive pass on the winner.
Scenario guide
How the two models differ in practice
No scores and no leaderboards: this is a scenario guide. Each card describes the kind of job a model is set up to handle, so you can match the tool to the task and then judge your own prompt on both.
1
Text-heavy layouts
Any image where the words are the point: posters, pricing cards, packaging mockups, ad creatives with a headline and a subhead. GPT Image 2 is the safer first attempt, because multi-line blocks keep their alignment, small print stays legible, and re-running with a tweak changes one line instead of the whole layout. Gemini 3.1 Flash Image handles a short headline or a two-word label well; for a paragraph of copy, expect to iterate once or twice at 2K or 4K.
2
Portrait and skin detail
Gemini 3.1 Flash Image has the edge when the final file has to be large: 4K output leaves more room for skin texture, hair edges and fabric weave to survive cropping, and 3:4 is a natural fit for portrait framing. Iterating on light and styling through image-to-image is quick, so you can walk one portrait through several looks. GPT Image 2 is the model to reach for when the brief describes the person precisely - exact expression, camera angle, wardrobe, gesture - because it follows the described composition more literally.
3
Product and texture detail
Upload the product shot as a reference and ask for a new scene. GPT Image 2 tends to hold label geometry, bottle proportions and the relative size of objects in a group, which matters when the packshot has to look like the real thing. Gemini 3.1 Flash Image is stronger for material studies at scale - brushed metal, knit, glass, food texture - where extra pixels and quick re-rolls matter more than exact label reproduction.
When to choose which model
Six situations, three per model. If your job matches one of these, skip the table and go straight to that model.
Choose Gemini for 4K finals on a predictable budget
12 credits buys a 4K frame, and the price does not move with the prompt. GPT Image 2 at high quality sits between 17 and 25 credits for a single image, so when the deliverable is large and you know you will keep it, Gemini keeps the invoice simple.
Choose Gemini for social and feed variants
1:1, 3:4 and 4:3 cover feed posts, stories and classic landscape. At 1K each run is 6 credits, so producing three crops of the same idea is a cheap loop rather than a decision.
Choose Gemini for fast image-to-image passes
Bring up to nine reference images, change one thing - lighting, palette, season, framing - and run again. When you are exploring a look rather than shipping a layout, the fast pass is what shortens the session.
Choose GPT Image 2 when the image contains words
Posters, comparison cards, menus, price tags, packaging. Dense typography is where the wider 2 - 25 credit range pays for itself: one clean high-quality run usually beats five cheap ones you have to throw away.
Choose GPT Image 2 when the brief is a blueprint
Exact camera angle, object count, left-to-right arrangement, empty space reserved for a logo. GPT Image 2 follows the described composition more literally, which shortens the retry loop on client work and on anything that has to match a layout you already approved.
Choose GPT Image 2 to explore before you spend
Low quality costs roughly 2 to 7 credits per image, so four directions can cost less than one Gemini 4K frame. Test the ideas there, then promote the winner to medium (about 5 credits) or high for the picture you ship.
Frequently Asked Questions
The six questions people ask before picking a model. Every number here comes from the model settings in the editor.
Put the same prompt through both models
Open the editor, generate one frame with each model, and compare them at the size you actually need. No scores and no guessing - just your prompt, your reference images, and two very different ways of spending credits.