GPT Image 2.5 Text to Image AI Generator
First image free, no account
Type one sentence, get a finished image in about ten seconds. This one runs on GPT Image 2.5 — five quality tiers, native 4K, and a receipt under every result naming the model that made it.
Worked prompts · settings included
A launch poster for a specialty coffee roaster, portrait, matte kraft paper texture, single warm overhead light, headline "SINGLE ORIGIN" centred at the top. No extra text, no logos.
- Fast
- HD
- 1K
- 2:3
- PNG
Each frame is a real run at the settings shown on it. Load this sends the prompt and all five to the panel. The ones carrying Full prompt come from the prompt library, where the same run is written up with what it costs and what breaks it.
- First image, no login
- Failed runs are free
- Native 4K · 3840×2160
- Five tiers, priced apart
- Model ID on every result
- Commercial rights on paid
1 free image, no card, no login · failed runs cost nothing · no site watermark on paid plans
What's on this page about GPT Image 2.5 text to image
Eight GPT Image 2.5 text to image prompts, and what they produced
These are OpenAI's own launch examples for this model, each shown with the prompt that produced it. We are citing them rather than passing them off — our own runs are not shot yet, and a gallery borrowed from social media and captioned "made here" is the thing this page exists not to be.Click any card to load its prompt into the generator above and see what you get.
- 8prompts, published in full
- 2models, named per frame
- 3840×2160native 4K ceiling
- citednot our own work
- Model
Which of the two ran. Flare is Fast, Sunburst is Think — and your own results say so on the receipt.
- Tier
HD costs four times Standard and earns it only where there is small type.
- Size
The pixel pair, not an aspect-ratio label.
- Source
Every frame here was published by OpenAI. Ours will replace them as they are shot.
GPT Image 2.5 output published by OpenAI in its September 8, 2026 launch post · cited, not ours. The prompts are OpenAI's too, printed in full so you can run them here and compare.
What GPT Image 2.5 text to image actually gives you
Text to image means what it sounds like: you write a sentence, a model reads it, and you get a picture that did not exist before — no layers, no brushes, no stock search. This one runs on OpenAI's GPT Image 2.5, called ChatGPT Images 2.5 inside ChatGPT and GPT-Image-2.5 in the API, and the receipt under every result names the one that actually ran.
For scale: OpenAI says more than 3 billion images a week are now made across ChatGPT and the image API, and that 2.5 cut generation latency by up to 50% against 2.0. The ten seconds quoted above is our own measurement of that, on Standard at 1K.
→ Need a graphic today and don't want to think about wording? Load one of the worked prompts in the panel above, press Generate, download. → Looking for a free AI image generator that isn't a signup wall in disguise? This is one. Your first image needs no account. → Need it for a product listing? Commercial rights start on the first paid tier.
a coffee poster
So the model decided all of this for you
- Composition — where the subject sits, how much air is around it, whether it's cropped
- Light — one source or many, hard or soft, warm or cold, where the shadows fall
- Material — matte or glossy, paper or screen, film grain or clean digital
- Point of view — eye level, overhead, three-quarter, how far away you're standing
- Colour — the whole palette, including the colours you'd have vetoed
- Text — whether there's any writing in the image at all, and what it says
Here's the thing nobody tells you about text to image: your sentence is never enough. Every image needs about forty decisions, and you probably supplied six of them. The model filled in the rest — and that gap is why the result looks almost right but not right.That's not a flaw in the model. It's what "one sentence" means. The fastest way to get a better image is to answer two or three of those six on purpose — and there's a builder further down that walks you through it in four boxes.
- Image Arena, both models
- #1 and #2
- quality tiers
- Five
- native 4K
- 3840×2160
- size and ratio presets
- 21
- at Standard
- ~10s
Image Arena, both models
quality tiers
native 4K
size and ratio presets
at Standard
- No software to install
- No ChatGPT account
- No credit card
What this AI image generator does well
Six things worth knowing about this text to image generator before your first run. Two of them will save you money, and one of them is a thing it cannot do.
- Quote it, spell unusual words out, forbid the rest
Text that actually reads
Put the words you want rendered inside quotation marks and the model treats them as a string to draw, not a topic to interpret. Small type and dense labels do better at HD. There's a whole section below on getting this right, because it's where most text to image attempts fall apart.
- 4K landscape is 3840×2160, generated at that size
Native 4K, not upscaled
3840×2160and2160×3840come straight out of the model. This matters more than it sounds: a lot of people are still asking chat assistants to "upscale this to 4K," which doesn't change the pixel dimensions at all. Set the size before you generate, not after. - 32× between the cheapest tier and the most expensive
Five quality tiers on one row
From three credits for a draft to ninety-six for a print-grade frame. You decide what each image is worth, one image at a time, instead of paying one flat rate for a thumbnail and a final.
- Expandable to the raw API response
A receipt under every image
Model ID, quality tier, pixel size, format and seconds elapsed — all read out of the API response rather than typed in by us. Most AI image generators won't tell you which model ran. Neither will ChatGPT.
- 1:1 · 3:2 · 2:3 · 16:9 · 9:16 · 3:1 · 1:3
Ratios that fit where you're posting
Seven aspect ratios across three size tiers — twenty-one presets in all, out to a 3:1 panorama. Square for feeds, 2:3 for posters, 16:9 at 4K for anything going on a wall.
- Background chip · PNG or WebP · direct route
Transparency: real alpha, from the background chip
GPT Image 2.5 generates real transparent backgrounds natively on both models, and the panel now asks for one: set Background to
Transparentwith PNG or WebP and the request carriesbackground="transparent". It travels by the direct API rather than our usual gateway, whose record for these two models listsautoandopaqueonly — the switch decides the route, so you do not have to. JPEG has no alpha channel, so that combination is refused rather than flattened. One thing we do not do for you: decode the returned file and check it. Ask the model for a cutout and it will occasionally paint the grey-and-white checkerboard instead, so open the alpha channel around hair, glass and edges before you ship it.
How to use this GPT Image 2.5 text to image generator — three steps
Describe what you want
Every text to image run starts with one sentence: subject, scene, the details that matter, and anything you don't want in frame. Blank page? Tap
One sentence✦ Inspire me, or load one of the six worked prompts in the fold above.Pick the tier and the size
Standard at 1K square handles most things. Going to print? 4K. Posting to a feed? 1:1 or 9:16. Got small text in the image — labels, axes, a headline? HD, and the section below shows you the difference.
Two decisionsGenerate, then read the receipt
About ten seconds at Standard. The receipt names the model that ran, the tier and the pixel size. Don't like it? Change one thing and run it again — Draft costs half of Standard and is the right tier for hunting.
~10 seconds
No account for the first one. No card at any point until you choose a plan.
A GPT Image 2.5 text to image receipt under every result
- Model
- gpt-image-2.5-flare
- Quality
- medium
- Size
- 1024×1024
- Format
- PNG
- Charged
- 6 credits
- Time
- 10.4s
See the raw response
Most AI image sites won't tell you which model made your image. ChatGPT doesn't either — its built-in image tool doesn't reveal the model it used, which is why "how do I know I've got the new one?" was one of the most upvoted questions in the launch threads.Every figure on this receipt is read straight out of the API response. Model ID, quality tier, pixel size, output format and how long it took. The credit figure is the one we charged, quoted by the same function that billed it. Nothing here is typed in by us.No other free AI image generator we checked in September 2026 shows you any of this.How this works. Your prompt goes to OpenAI's image endpoints. No re-compression, no second pass, no quietly dropping you to a cheaper tier when we're busy.What happens to what you type. Your prompts are used to make your images and nothing else — never for training, never resold, never published to a public gallery. Anonymous generations are deleted within 24 hours. Signed-in history is yours until you delete it, and Pro makes generations private by default.
Served through OpenAI's official API. gptimage25.top is an independent interface — we are not OpenAI.
Five quality tiers, and what each one costs
This is the single biggest lever on your bill, and almost no text to image tool exposes it. The gap between the cheapest tier and the most expensive is 32× — same prompt, same model, same size. Hide that control and every image you make costs the same whether it deserved it or not.
Draft
3 credits · $0.0059 at 1024²
Hunting
You're looking for the right composition. Try eight ideas here before you spend anything real.
Standard
6 credits · $0.0132 at 1024²
The default
The tier OpenAI recommends for most of its own examples, and the one you should be on unless you have a reason not to be.
HD
24 credits · $0.0527 at 1024²
Worth it for type
Small text, chart axes, dense labels, legends. OpenAI explicitly recommends it here — this is the one place the extra cost is a straight upgrade.
Ultra 👑
42 credits · $0.0937 at 1024²
Only when confirmed
You've established that Standard and HD both miss on this prompt, and you can wait.
Max 👑
96 credits · $0.2107 at 1024²
Print-grade finals
Note OpenAI's own warning: a higher setting doesn't guarantee a better result for every prompt. Test before you commit a batch to it.
Find the prompt at Draft. Run the keeper once at Standard or HD. That loop cuts what you spend by roughly three quarters versus generating everything at your target tier — and it's faster, because Draft comes back quicker too. Want the raw API numbers behind this table, tier by tier and size by size? See the measured API cost per image.
Build a prompt from OpenAI's own rules
If your images keep coming out almost right, it's not the model. Two things are worth reading here.
A designer in one of the launch threads put it this way: these models "basically allow anyone to do their own marketing — if they learn enough about prompting." Another, more bluntly: "It's really how you phrase it."
OpenAI published eight rules for phrasing it. No text to image tool we've found has turned them into anything you can actually use. So: four boxes. Fill in what you can, leave the rest blank, and watch the prompt assemble itself on the right.
Your prompt, assembled
Subject & purpose
Start with what it's for
"Poster", "product shot", "diagram" tells the model more than any adjective.
Scene & visible detail
Material, light, colour, medium
Want a real photograph? Write "photorealistic" — the model won't assume it.
Text in the image
Put every word in quotation marks
Spell unusual names out letter by letter. This is the single highest-yield box on the page.
What to keep out
The most skipped box and the most useful one
Models add captions and fake logos when you don't forbid them.
Your prompt, assembled
Subject & purpose
A launch poster for a specialty coffee roaster, portrait, for print
Scene & visible detail
Matte kraft paper texture, single warm overhead light, deep espresso browns
Text in the image
Headline "SINGLE ORIGIN" centred at the top; small caps subline "ETHIOPIA · YIRGACHEFFE"
What to keep out
No extra text, no logos, no watermark, no border
0 / 7000
You've got text in box 03 — we'll set the tier to HD when you send this. Small type is the one case where the extra cost is worth it.
What the model does with it
- 01There is no magic syntax. OpenAI's guide, word for word: "Choose the format that makes the requirements easiest to read and update rather than relying on special syntax." Short sentences, a paragraph, a bulleted list — all fine. Pick what you can edit next week.
- 02Break long briefs into labelled sections — scene, subject, detail, constraints — instead of one 200-word run-on.
- 03Camera settings are a look, not a simulation. Writing "85mm f/1.4" nudges the style. It does not compute depth of field.
- 04Change one thing at a time, and repeat the details you want kept. Drift comes from rewriting the whole prompt every round.
Editing an image you already have instead of making a new one? That's a different job — go to image to image. Starting from a drawing rather than a sentence is a third one: sketch to image.
Getting the words inside the image right
Text is where text to image breaks most often, and it's the thing people give up over. Competing tools advertise "flawless text" and leave it there. Here's the actual method, with our own failures next to our own fixes.
Describing the picture
Describing the change
a poster that says single origin → the model treated it as a topic. It produced a coffee poster with the words "SINGLE ORGIN COFFE" across the middle.
Headline "SINGLE ORIGIN" in bold condensed sans-serif, centred, upper third → correct spelling, correct placement, correct weight.
a bag of Yirgacheffe coffee → six runs, six different spellings, none of them right.
the word "Yirgacheffe" spelled Y-I-R-G-A-C-H-E-F-F-E on the front label → right on the first run.
minimal coffee packaging, kraft paper → the model invented a tagline, a fake certification badge and a barcode.
minimal coffee packaging, kraft paper. No text other than what is specified, no logos, no badges, no barcode → clean.
Say how many times it should appear. OpenAI's prompting guide asks for the words verbatim inside quotation marks and an explicit count — render exactly once — plus a line forbidding anything else. The count is the part people skip, and a headline printed twice is the most common way a correct spelling still comes back unusable.Small type is the one place OpenAI tells you to spend more. Their guidance for dense information — small labels, legends, axis text, footnotes — is to compare medium against high rather than assuming Standard will hold.Our own run: at Standard, an eight-point legend on a chart came back legible but with two characters malformed. Same prompt at HD, same seed of an idea, all characters clean. That's 6 credits versus 24 — worth it on the final, wasteful on the first eight tries.
What still goes wrong. OpenAI lists precise text placement as an open limitation, and we can confirm it. Long strings drift out of their box. Two blocks of text in one layout sometimes swap positions. Mixing a non-Latin script with Latin in one layout is the least reliable case — though it is clearly possible: the bilingual poster in the band below is OpenAI's own launch image and both scripts are correct. Unreliable is not the same as unsupported.If a run comes back with the text nearly right, don't rewrite the whole prompt — re-run it. Text errors are frequently a dice roll rather than a phrasing problem, and a Draft-tier re-roll costs 3 credits.
GPT Image 2.5 text to image settings, size rules, and four traps
Everything the generator exposes, the shapes it can return, and the four things that would otherwise be discovered as a failed run.
- Quality
low·medium·high·xhigh·max— Draft / Standard / HD / Ultra / Max in the UI- Model
gpt-image-2.5-flare·gpt-image-2.5-sunburst— Fast / Think on the toggle, named in full on the receipt- Size tier
1K·2K·4K— combined with the ratio to a pixel pair before the request leaves- Aspect ratio
1:1·3:2·2:3·16:9·9:16·3:1·1:3— 3:1 is the widest the endpoint accepts- 4K pixel pairs
3840×2160·2160×3840·2880×2880·3520×2352·2352×3520·3840×1280·1280×3840- Custom sizes
- Every side a multiple of 16 and no more than
3840px · long edge no more than 3× the short edge · total pixels between655,360and8,294,400. Past3,686,400(2560×1440) OpenAI calls it experimental - Background
auto·opaque·transparenton the model, and the panel's Background chip sends the third. OpenRouter's record for both 2.5 models lists two, so a transparent run goes by the direct API instead — same model, the route that accepts the parameter- Output format
png·jpeg·webp— JPEG returns faster than PNG- Count
- 1 – 8 — 2 and 4 on Pro, 8 on Studio
- Moderation
auto·low—lowon Pro: fewer false blocks on legitimate product shots- Partial images
- 0 — we hard-code zero. Each preview frame costs 100 extra output tokens
Source: OpenAI image generation guide · Read September 9, 2026, and re-checked against live responses from the endpoint the same day. Where the docs and the endpoint disagreed, the endpoint won. If this table stops matching, that's a bug — tell us.
Four traps worth knowing before you spend credits
- 01
The same tier name means different things on different models
OpenAI states it directly: "The same quality label does not imply the same image quality or response time across models." Comparing Fast at HD against Think at HD tells you less than you'd think.
- 02
Higher isn't automatically better
Also OpenAI, also directly: "A higher setting doesn't guarantee a better result for every prompt." Max costs sixteen times Standard. Sometimes it comes back worse. Test one before you commit a batch to it.
- 03
Transparent output depends on which door you came through
background="transparent"is native on both 2.5 models and needs PNG or WebP — JPEG has no alpha channel to write into. The panel above asks for it on the Background chip, a Starter unlock, and sends the request by the direct API: the gateway we use by default listsautoandopaqueonly, so the chip picks the door for you. Whichever door you use, decode the file and look at the alpha around hair, glass and shadows before you ship it — nothing here checks it for you. - 04
Preview frames aren't free
Every progressive preview frame adds 100 output tokens. We ship with them off. If you build your own integration, set
partial_imagesto 0 unless you genuinely need the animation.
What one GPT Image 2.5 text to image run costs
Credits, not a monthly image count — because a Draft thumbnail and a 4K print frame are not the same thing and should not cost the same. A Standard 1K image is 6 credits, and you are not charged at all when a run fails, times out or is stopped by moderation. Here is the entire price list.
| Quality | 1K | 2K | 4K |
|---|---|---|---|
| Draft | 3 | 6 | 9 |
| Standard | 6 | 12 | 18 |
| HD | 24 | 48 | 72 |
| Ultra | 42 | 84 | 126 |
| Max | 96 | 192 | 288 |
Fifteen numbers, and that is all of them — there is no second table and no surcharge hiding under a plan name. Credits come off when an image comes back, not when you press the button, and refunds are automatic: you will never open a ticket over 6 credits.If what you want is unlimited free images, there are sites that genuinely give you that. They run small open models — Z-Image Turbo, Flux Klein and the like — which cost them almost nothing per picture. This one runs GPT Image 2.5, which does not.
A standard 1024×1024 image
- Straight from OpenAI's API
- $0.0132
- Here, on Pro
- $0.050
- gptimage25.io
- $0.133
Want the raw OpenAI numbers? See the measured API cost per image. Want the full plan comparison? See our plans and credits. Want to know exactly where free stops? See what "free" actually covers.
Same credits either way — yearly just costs less per month
Start from a job, not a blank box
Nobody opens a text to image generator wanting "an image." You want a poster, a cutout, a chart, a screen. Six of the jobs people bring here most, and the settings each one actually wants — because the difference between a usable infographic and an unusable one is a quality tier, not a prompt.
Posters & merch
Real headline text, print sizes, 2:3 and 4K. The trick is quoting your copy and forbidding everything you didn't ask for.
Logos & marks
Single colour, even strokes, no container shape. Set Background to
Transparentwith PNG and you get a real alpha channel — that is what this prompt is for. Add "no checkerboard" to it: asked for transparency the model sometimes paints one instead.Infographics & charts
Where HD earns its cost. Small labels, legends and axis text are the whole job here.
App & web UI mockups
Screens for a deck by tomorrow. 3:2, Standard, Fast — the combination a developer who benchmarks every model called the sweet spot.
Character sheets
One reference sheet, then reuse it. Consistency across unrelated runs is still a real limitation — a reference beats a description every time.
Editing something you already have
Different job entirely. Keep what's good, change one thing, don't let the rest drift.
Each of these runs on the same generator. The settings are the whole difference, and they are named in each card rather than hidden behind a page you have to open.
Frequently asked questions
Capability questions, not "what is an AI."
Is GPT Image 2.5 text to image really free here?
Do I need an account or a credit card?
Can this AI image generator put accurate text inside the image?
What's the maximum resolution?
3840×2160 landscape or 2160×3840 portrait, generated at that size rather than enlarged afterwards. That distinction matters: asking a model to "upscale to 4K" after the fact does nothing to the pixel dimensions. Three size tiers cross seven aspect ratios, so there are twenty-one shapes to pick from and the widest is 3:1.Can I get a transparent PNG?
Transparent and the run goes by the direct API instead of the gateway we use by default, whose endpoint record for these two models lists auto and opaque only. The chip picks the door; you do not have to know there are two.The catch, which is the model's. Asked for transparency it will sometimes paint a grey-and-white checkerboard — a picture of transparency rather than transparency, and OpenAI names the trap in its own guide. Put "no checkerboard" in the prompt, and open the alpha channel rather than the preview to check: against a white page an opaque white background and a real one look identical.On the free tier, ask for the subject centred on a flat pure-white backdrop with no shadow on the floor, then key that colour out. On a hard-edged object the result is usually cleaner than a generated alpha would be anyway.What aspect ratios are supported?
Which model is behind this GPT Image 2.5 text to image generator?
Is there a watermark?
Can I use the images commercially?
How much does one image cost?
Why does my image look different from what I asked for?
What can't it do yet?
Write one sentence. See what comes back.
Thirty seconds and a half-thought-through sentence is enough to find out whether this text to image generator is worth your time. If it isn't, you've lost thirty seconds. If it is, the prompt builder, the quality ladder and the receipt are all still here when you come back.No account. No card. No AI image generator signup wall.
- First image free
- Five quality tiers
- Native 4K
- 21 size and ratio presets
- Failed runs cost nothing
- Commercial rights on paid
SIGN UP FREE · 1 IMAGE · 1KSIGN UP FREE · 1 IMAGE ON GPT IMAGE 2.5 · 1K · STANDARD · NO CARD
gptimage25.top is an independent product with no affiliation with OpenAI. This is not an official OpenAI website. GPT Image, ChatGPT and OpenAI are trademarks of OpenAI. Last updated September 9, 2026.
Written and maintained by Andy SwiftPublished Last updated Tool version 2026.09.1