GPT Image 2 on VisionX.
OpenAI’s flagship image model, with 1.5 and 1 kept on the roster beneath it.
What GPT Image 2 is on the roster
GPT Image is the OpenAI image lineup on the roster: GPT Image 2 as the flagship, 1.5 as the balanced grade, and the original GPT Image 1 kept available.
Its strength is instruction-following: dense layout briefs, text in image, and precise art direction land more literally than on most models. Reference edits are supported, so it can restyle a Cast frame instead of inventing a stranger.
Takes direction literally
Layout notes, on-image text, and multi-part briefs survive contact with the model.
Reference edits
Feed Cast frames or product shots and ask for the change; identity carries through the edit.
Three grades of spend
The flagship for finals, 1.5 for volume, 1 for looks built on it. VX per image is quoted per grade.
What GPT Image 2 actually does
Where the flagship grade separates from 1.5, and why art directors keep routing type-heavy work here.
It reasons about the layout before it draws
GPT Image 2 plans the composition, checks counts and on-image copy, and self-corrects before it finalises. Dense briefs land in one pass more often, which is the whole cost argument for it.
Native reasoningType that actually reads
Correctly spelled headlines across scripts and languages — posters, packaging, diagrams and comics survive contact with the model instead of coming back with dream-alphabet lettering.
Text in imageBriefs written like a spec
Exact counts, spatial relationships and multi-element layouts are honoured rather than loosely interpreted. This is the model to route a client mockup to.
Instruction followingThe deepest reference budget on the image roster
It takes more reference images per call than any other image route VisionX runs, so a Cast member, a product and a set plate can all condition one frame at once.
Reference editsRestyle without reinventing
Feed Cast frames or product shots and describe the change. Identity and product geometry carry through the edit rather than being re-imagined.
Conversational editingThree grades of spend, one family
The flagship for finals, 1.5 for volume, and the original 1 kept available for looks that were built on it. The composer quotes each grade separately before you run.
Cost controlEvery variant, exactly as the studio runs it
These rows are read live from the engine registry and the pricing engine. What you see here is what the composer quotes.
Self-serve rates run as low as $0.085 per VX at scale. The composer quotes the exact VX for your shot, references included, before you run it.
How to write for GPT Image 2
GPT Image rewards a brief written like a designer’s spec rather than a mood. Say what goes where, in what order, and quote the copy exactly.
Film poster. Title reads "Midnight in Tokyo" in condensed serif, set across two lines, centred in the upper third. Neon alley at night, rain light, wet asphalt reflections. Credits block in small caps along the bottom edge. Use [Image1] as the lead character’s face. Keep wardrobe unchanged.
Quote the copy, character for character
Type that appears in the image should appear in the prompt inside quotation marks. Paraphrased copy comes back paraphrased.
Say where things sit
Upper third, bottom edge, camera left. Spatial instructions are honoured literally, which is exactly why this model is worth its cost on layout work.
Name the count
"Four line icons, numbered one to four" beats "some icons". Counts are one of the things the reasoning pass verifies before it finalises.
Bind the Cast, then describe the change
Attach the reference and ask for the edit rather than re-describing the person. Identity carries through an edit far better than it survives a re-description.
What teams route to GPT Image 2
What agencies actually run it for.
Posters and campaign key art
Campaign posters with embedded copy, multilingual signage, and product imagery that depends on accurate typography rather than a lettering pass afterwards.
Storyboards and sequential frames
Consistent characters and locations across a set of frames for ad boards, comics and narrative sequences.
Diagrams, infographics and charts
Text-heavy visuals with structured layouts and legible labels for decks, explainers and educational content.
Packaging concepts
Packaging with accurate brand names, ingredient lists and label copy for concept work and client review.
UI mockups and product screenshots
Interface mockups with readable labels and structured layouts, for early design exploration before anything is built.
Multilingual localisation
The same visual re-run with translated, re-fitted copy for every market in the campaign.
GPT Image 2 against the alternatives
When to route an image brief here instead of to the other flagships on the roster.
| Capability | GPT Image 2 | Seedream 5.0 Pro | Nano Banana Pro |
|---|---|---|---|
| Best at | Type accuracy, literal layout | Stylised campaign imagery | Photographic realism |
| Reference images per call | Most on the roster | Deep | Deep |
| On-image text | Strongest | Workable | Workable |
| Cost position | Premium | Flat rate per image | Premium |
Qualitative routing guidance, not a benchmark. Exact reference caps and the VX quote for every grade are in the spec sheet above, read live from the registry and the pricing engine.
Same Cast, same wallet, different look
Route a board line to GPT Image 2, then run the identical shot on another family and compare takes. Identity lives in your Cast, not in any one model, so switching engines never strands the campaign.