A studio product shoot runs a few hundred to a few thousand dollars a session. A good AI image generator produces a usable version for cents. That gap is why the price question matters, but the price between the models matters too, because the span from the cheapest to the priciest is more than thirty times, and the right pick depends entirely on the job.
This is a buyer's view of cost. For how these models compare on quality, consistency, and text handling, see the best AI image generators for social media. The video side is billed on an entirely different scale, covered in AI video pricing.
What AI images cost in 2026
For a 1024px image, the standard size for most social and product work, representative list prices run from under a cent to about seventeen cents. OpenAI's GPT Image 1 Mini is $0.005 to $0.036 from low to high quality, GPT Image 1 is $0.011 to $0.167, Google's Gemini 3.1 Flash Image is about $0.067, and Gemini 3 Pro Image about $0.134. GPT Image 2 is billed by token with no single per-image figure.
All five models on one scale, with providers, exact rates, and sources, live in the Model Guides as a cost chart you can scan in a glance. See the AI image pricing table. What follows here is the discussion behind those numbers, which is where the real budgeting decisions are made.
How AI image pricing works
Image billing comes in two shapes, and the difference decides whether you can forecast your spend.
Per image, by quality tier. OpenAI's GPT Image 1 and GPT Image 1 Mini publish a flat price per image that steps up with quality. On the Mini, a low-quality 1024px image is half a cent, medium is about a cent, and high is a little over three cents. On the full GPT Image 1 the same ladder runs from about a cent to roughly seventeen cents. The lesson is that the model name is only half the price. The quality tier is the other half, and the step from low to high is more than ten times on the same model. Match the tier to the job: low or medium for a background or a draft, high only when the image is the hero.
Flat per image. Google's Gemini image models list a single price per image. Gemini 3.1 Flash Image, also called Nano Banana 2, is about $0.067, and Gemini 3 Pro Image, Nano Banana Pro, is about $0.134 with output up to 2K. There is no quality dial to reason about, which makes these the easiest to budget: one image, one known price.
Token-billed, no single per-image figure. OpenAI's current GPT Image 2 is billed by tokens rather than published as a per-image table, so its cost depends on the quality and the output size you request and there is no one list number to quote. Treat the concrete GPT Image 1 and 1 Mini figures above as the anchors for OpenAI pricing, and if you plan to run GPT Image 2 at volume, generate a representative sample first and measure the real token cost before you forecast.
What drives the price
Two levers move the number on your invoice, and both are in your control.
- Quality tier. Where a model offers low, medium, and high, this is the single biggest lever. Most daily social images do not need the high tier, and defaulting everything to high is the most common way to overspend.
- Output size. Larger images cost more, on flat-rate and token-billed models alike. A 1024px image is plenty for a feed post; reserve 2K and up for print or a hero shot that will be cropped hard.
Cost per finished post, not cost per image
The sticker rate is the wrong number to optimize. What you actually pay is the cost of every image you generated to land the one you posted, rerolls included. A model at half a cent that needs six attempts to produce an on-brand result costs you three cents of generation per usable image. A model at a few cents that lands it first time can be cheaper in practice. So judge any model on cost per usable image on your own briefs, not on the list rate in a roundup.
There is a second cost most comparisons skip: consistency. For a single image, almost any model is cheap enough to ignore the price. For a carousel or an ad series where one product has to stay identical across every frame, a cheaper model that drifts forces reroll after reroll, and the expensive-looking consistent model wins on total spend. The job decides the model, which is the whole argument in the best AI image generators for social media.
What is changing
The image lineup turns over fast, so the names on the chart matter as much as the rates. Gemini 2.5 Flash Image, the old Nano Banana, was deprecated and shut down on October 2, 2026, replaced by the Gemini 3 line, so a current comparison uses Gemini 3.1 Flash Image and Gemini 3 Pro Image instead. Token billing is the other shift: GPT Image 2 is billed by token with no published per-image table, which is why it carries no bar on the chart and GPT Image 1 and 1 Mini stay the concrete OpenAI anchors. Subscription and credit tools like Midjourney, FLUX, Ideogram, Recraft, and Firefly sit outside a clean per-image dollar comparison and are judged on quality in the image generator guide instead.
Budget a 1024px image at under a cent to about seventeen cents depending on model and quality tier. The tier is half the price, so match it to the job, and judge each model on cost per usable image once you count rerolls and consistency.
Sources, read October 2026: GPT Image 1 and GPT Image 1 Mini from the OpenAI image generation guide; the Gemini image models from Google Gemini API pricing. GPT Image 2 is billed by token with no published per-image table, so it is shown qualitatively rather than with an invented figure. Prices are representative list rates and move often, so confirm with the provider before you budget.
The right image model, picked for you
Protegee runs a standing research function that tracks which image model wins which job, then generates on-brand visuals on the one that fits, attaches your real logo and product, and posts the result to every account on a schedule. You never choose a model or watch a meter.
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