GPT Image 2.5 Flare: finished-looking images and photo edits on a first pass
OpenAI released Flare in September 2026 as its everyday image model, alongside a sibling tuned for precise editing. We run Flare at its high quality setting on every request, so the question on this page is not which dial to turn but which briefs are worth a high-quality render in the first place.
- Cost
- 63 PT
- Per
- 1 image
- Tier
- premium
- From
- $23/mo
GPT Image 2.5 Flare is OpenAI’s fast, high-quality everyday image model, and on TulexAI every render runs at high quality for 63 PT an image. Reach for it when a picture has to look finished on the first pass or when you want to edit a photo you attach; draft somewhere cheaper first.
What GPT Image 2.5 Flare is best at
- Marketing and social images that need to look finished on the first render: a product on a clean set, a lifestyle scene, a campaign visual.
- Editing a photo you attach - changing the time of day, replacing a background, removing an object - while the rest of the frame stays put.
- Short in-image text such as a shop sign, a poster headline or a label, written as its own sentence in the prompt.
- Landscape banners and portrait phone screens at the same 63 PT as a square image.
Where it falls down
- Every render runs at high quality, so there is no cheap draft mode on this engine. Explore compositions on GPT-5 Image Mini and bring the settled prompt here.
- Only three frames: square 1024x1024, landscape 1536x1024 or portrait 1024x1536. Any other size comes back square.
- An edit that attaches several reference images or carries a very long prompt costs more than one image, because the charge follows what OpenAI bills for that request.
- One opaque PNG per request. Transparent backgrounds and batches of variations are not available from the app.
- Not on the $11 Basic plan. Basic has image generation, but its only image engine is GPT-5 Image Mini; Flare starts on the $23 plan.
Prompts for GPT Image 2.5 Flare
Copy one, swap the subject, keep the structure - the constraint clauses are what make these land.
Storefront with a sign that has to read correctly
GPT Image 2.5 FlareA corner coffee shop at dusk, warm light spilling from the windows onto a wet sidewalk. A chalkboard A-frame sign by the door reads OPEN LATE in hand-drawn white capitals. Eye-level camera across the street, 35mm, a few blurred passers-by, no other signage in frame.
Put the exact words in capitals in their own sentence and say where they sit. Ending with "no other signage in frame" matters as much: a street scene invites invented shop names, and every extra line of text is another chance for a misspelling.
Edit an attached product photo without losing the product
GPT Image 2.5 FlareKeep the bottle exactly as it is - shape, label, cap and color unchanged. Replace the background with a pale stone countertop in soft morning window light, with a sprig of rosemary to the left. Match the shadow direction to the new light.
Say what must not change before you say what should. An edit prompt that only describes the new scene reads as permission to redraw everything, and the product is the one thing the client will check first.
Landscape social banner with room for copy
GPT Image 2.5 FlareA wide banner image: a runner mid-stride on an empty coastal road at sunrise, placed in the right third of the frame. The left half is open sky and soft ocean haze with no objects, left clear for a headline to be added later. Warm, low-contrast color, natural film grain.
Ask for empty space by position and by content ("no objects") rather than hoping for it. Pick the Landscape aspect before you generate - it maps to 1536x1024 here - so the composition is built for the frame instead of cropped into it.
Portrait phone wallpaper with one clear subject
GPT Image 2.5 FlareA single paper lantern glowing above a still dark lake at night, centered in a tall portrait frame. Faint reflection on the water, a few stars, nothing else. Deep navy and warm amber only.
A tall frame punishes busy scenes because a phone crops the edges under the clock and the dock. One centered subject and a two-color palette survive that crop; name the palette so the model does not fill the dark with extra detail.
Craft notes
- 01Settle the composition on GPT-5 Image Mini first. Flare renders at high quality every time, so paying for that quality belongs on the prompt you already like.
- 02Choose the aspect before you generate. Landscape and portrait cost the same 63 PT as a square here, and a frame composed for its shape beats a square cropped later.
- 03For edits, lead with what must stay the same, then what changes. The order tells the model which half of the prompt is a constraint.
- 04Attach only the reference images the edit needs. Each one adds to what OpenAI bills for the request, and a stack of loosely related references muddies the result anyway.
- 05Keep in-image text short and in capitals, in a sentence of its own, and exclude any other text you do not want in the frame.
- 06Change one thing per re-render. A variant that moves the light, the subject and the text at once tells you nothing about which change helped.
When to use something else
GPT Image 2.5 Flare is one of 6 image models on the same Platform Token budget, so switching costs nothing but the tokens.
You are still hunting for a composition and want the cheapest render on the plan, because a draft does not need high quality.
The brief is a long list of literal clauses - exact object counts, a stated layout - and you want to run several variants at less than half the per-image price.
A prompt is already tuned and signed off on GPT Image 2 and the job is repeating that exact look, not reinterpreting it on a newer model.
One final asset has to survive close inspection at full size, the composition is already settled, and a much higher per-image price is acceptable for that single frame.
Frequently asked questions
It is 63 PT per image at high quality, the same as GPT Image 2, drawn from the same Platform Token budget as everything else. An edit that attaches several reference images or carries a very long prompt counts as more than one image, in proportion to what OpenAI bills for that request.
Pro at $23/month and up. The $11 Basic plan includes image generation, but its only image engine is GPT-5 Image Mini.
No. OpenAI offers several quality levels for Flare; TulexAI sends high on every request so an image never comes back at a lower quality than the price assumes.
Yes. Attach the photo with your prompt and Flare edits it rather than drawing a new picture. Say what must stay unchanged first, then describe the change.
We have no independent benchmark that ranks them, so we do not claim one. Both cost 63 PT an image here. Flare is the newer OpenAI model and renders at its high setting on TulexAI, while GPT Image 2 renders at its medium setting, which OpenAI bills at the same number of tokens for a square image. Run the same prompt on both and keep whichever reads your brief better.
GPT Image 2.5 Flare, on the same bill as everything else
63 PT per 1 image, shown before you spend it. GPT Image 2.5 Flare is on the $23/month plan and up.
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