GPT Image 2 reached the OpenAI API in April 2026 carrying something no earlier GPT Image release had: a thinking pass that studies the brief, reworks the inputs and checks itself before a pixel exists. This page is a bulk GPT Image generator wrapped around it — a prompt list goes in, a finished grid comes out.
One per line — each line is a separate prompt.
Drag & drop or click to upload — PNG / JPEG / WEBP / GIF, up to 10MB each.
OpenAI frames the step from gpt-image-1.5 to GPT Image 2 as an architectural change rather than another increment — the first GPT Image model to reason before it renders. A batch is where that shows, because you are judging thirty rows for agreement rather than one hero render for luck.
The reasoning mode researches the request, transforms the inputs it was handed and self-checks the plan before generation starts. That rewards prompts written as intent — what the image is for, who reads it, what has to be legible — over a pile of style adjectives.
OpenAI singles out structured generation as a headline gain for GPT Image 2: charts, infographics, posters and comics. Multilingual text rendering improved in the same release, alongside instruction following, detail retention and composition reliability. Most image models are picture engines first and typesetters never.
GPT Image 2 is fixed on this page, so two hundred images come off one checkpoint with no silent substitution and no per-row price surprise. It is also the only model here that exposes a quality setting, which the form reveals once you land on it.
Credits, output sizes, aspect-ratio coverage, reference capacity and prompt length for GPT Image 2, read live from the registry that prices the batch. Nothing on this card is typed by hand, so it cannot drift away from what you are charged.
The card describes what the channel behind this platform accepts for GPT Image 2 and what a render costs in credits here. OpenAI's own announcement quotes a different set of figures; the two are not interchangeable.
There is no model chip to argue with on a single-model page, so the GPT Image 2 setup is short: write, frame, approve.
GPT Image 2 spends effort understanding a request before drawing, so a row stating purpose, audience and the exact words to render beats a row stacked with adjectives. Paste one per line, or upload a spreadsheet and point at the prompt column.
Pick an aspect ratio and an output tier. A few ratios are only offered at the base tier for GPT Image, and the form greys out any combination the channel refuses — so a batch cannot burn credits on a size that was never going to render.
The review screen totals the credits before the run starts. Confirm, and images land in the grid as they finish. Anything that fails can be re-queued on its own, and the set you keep leaves as one archive.
Reach for GPT Image 2 when the picture has a job beyond looking good — when something inside it has to be read, labelled or laid out correctly on every row of the batch.
Infographics and diagrams are named improvements in the GPT Image 2 release, and they are miserable to make one at a time. Queue a column of data briefs, read the set at once, rewrite only the rows whose labels came out wrong.
Posters and comics are the other structured formats OpenAI calls out for GPT Image 2. Panel prompts fit a batch neatly: one row per panel, one run per page, and the sequence arrives together for a consistency pass.
Multilingual text rendering improved in this release, so one prompt list can carry a layout across several languages. Write a row per locale, keep the composition wording identical, and compare what GPT Image 2 returns side by side before anything ships.
More questions? Email us at support@bulkimagen.com
Write the rows, choose a frame, approve the estimate. GPT Image 2 returns a grid you can judge in one pass — keep what works, re-queue what missed, export the rest as an archive.
