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GPT Image 2.5 Sunburst vs Flare: Differences, Pricing and API
GPT Image 2.5 Sunburst and Flare list identical credit costs per quality tier, yet their defaults, plan access and API status differ. This breakdown compares specs, example timings and settings, then shows how to test both side by side.
Choosing between GPT Image 2.5 Sunburst and GPT Image 2.5 Flare feels like a coin toss at first. Both sit in the text-to-image category on PicassoIA, both list OpenAI as the owner, and both accept the same set of inputs. The real differences are smaller and sneakier: they live in the defaults, in how each page describes the job, and in what happens when you click Generate without touching a single setting. This breakdown sticks to what PicassoIA publishes for each model as of October 2026, listing parameters, credit costs, plan access and API status. Where the platform offers no head-to-head number, I say so instead of guessing.
💡 Short answer: the credit price per quality tier is identical, so the cost gap comes from the defaults. Sunburst starts on low quality, while Flare starts on auto. Neither model appears in the public PicassoIA API documentation.
What Each Model Is For
Both pages promise sharp on-image text, reference photo input, transparent backgrounds and up to ten images per run. The wording around them is what separates the two.
Built for Precise Edits
The page for GPT Image 2.5 Sunburst leads with editing. It says the model targets "making precise changes to an existing picture," such as swapping a background, fixing text on a label, or adjusting one object while leaving everything else untouched. The example it gives is a multi-step instruction: change the shirt to red and add sunglasses.
That framing suits retouchers, e-commerce teams and anyone who already has a photo and needs one specific thing changed.
Built for Fast Drafts
The page for GPT Image 2.5 Flare leads with speed. Its title promises fast images, and its feature list says you can "generate a finished image in a few seconds without waiting on a long queue." It also edits photos when you attach a reference image, so the gap is one of emphasis rather than capability.
That framing suits marketers, bloggers and freelancers who want a usable first version quickly, then iterate.
Specs Side by Side
Open both model forms and you will see the same fields. The table below lists what PicassoIA shows for each.
Sizes above 2560x1440 are flagged as experimental on both forms, so expect more variable results at 4K.
The shared feature list also means the same practical jobs work on either model, according to both pages:
Product shots on plain or transparent backgrounds for store listings. Set background to transparent and choose png or webp, because JPEG cannot hold transparency.
Ad variations from one prompt, using number_of_images up to 10.
Packaging mockups with legible brand text.
Composites that merge two reference images, such as a person and an outfit.
Social graphics sized to an exact ratio, from square posts to vertical stories.
Where the Defaults Split
Two defaults differ, and both matter. Sunburst opens on low quality with the aspect ratio set to auto, letting the model pick the frame. Flare opens on auto quality with a square 1:1 frame.
That quality default is the whole pricing story, as the cost section below shows. A first-time visitor who never opens the settings panel gets a cheap draft from one model and a pricier render from the other.
💡 Fair test rule: before comparing the two, set the same quality, the same aspect ratio and the same prompt on both forms. Otherwise you are comparing defaults, not models.
Differences That Show in Results
PicassoIA does not publish a controlled benchmark of these two models against each other. What follows draws on the schemas, the page descriptions and the example gallery, so treat it as a map of what to test rather than a verdict.
Instruction Following and Edits
Both descriptions claim close instruction following, and both accept reference photos. The practical difference is how each page frames the workflow. Sunburst describes editing as the main event: change one thing, protect the rest. Flare describes editing as a quick way to get a variation or a touch-up.
A good test is a single product photo with a two-part instruction, for example change the label color to deep green and keep the lighting, the shadows and the background exactly as they are. Run it on both and check what else moved.
Text Inside the Image
Legible lettering is advertised on both pages: labels, signs and packaging for one, posters, social graphics and product labels for the other. Short text is the safest place to start.
Put the exact words in quotation marks inside the prompt.
Keep it to one to five words on the first attempt.
Name the surface, such as a kraft paper label or a storefront sign.
Raise quality to high if the letters look soft.
Speed in the Example Gallery
PicassoIA stores generation times with each example, which gives us three data points. They come from different prompts, ratios and quality settings, so they are not a race.
Read it carefully: the same model took 13.7 seconds on one setting and 34.7 on another. Quality tier and prompt complexity move the clock more than the model name does. The pages themselves say Sunburst usually finishes "in a few seconds to under a minute," while Flare promises "a few seconds." Time your own prompts on both before you bet a deadline on either claim.
The Real Cost of Each
PicassoIA charges in credits, and both model pages print the same table.
Credits Per Quality Tier
Quality
Credits per image
low
0.3
medium
1
high
2.6
auto
5
xhigh
5
max
10
Credits are charged per image, so number_of_images multiplies the bill. Ten images at low come to 3 credits. Ten images at high come to 26. Note that auto sits at the same 5 credits as xhigh in the table, so for budgeting purposes treat it as a premium tier, not a middle setting.
Now the defaults bite. One click on Sunburst with factory settings costs 0.3 credits per image. The same click on Flare lands on auto, listed at 5 credits per image, roughly 17 times more. The price list is the same; the starting point is not.
💡 Back-of-envelope value: the PicassoIA pricing page lists the included credits at about €0.10 each (320 credits shown as a €32 value on Pro+). By that yardstick, a high image runs near €0.26 and a low draft near €0.03. Treat these as estimates and check the pricing page before budgeting.
Plans and Unlimited Access
The pricing page lists three paid tiers at the time of writing:
Plan
Annual billing
Monthly billing
Notable line
Pro+
€7/month (€84/year)
€33/month
Unlimited image generation with Picasso IA Image
Elite
€12/month (€144/year)
€59/month
Lists GPT Image 2.5 for editing
Infinite
€24/month (€288/year)
€124/month
Lists Nano Banana Pro, Kling 3.0 and Seedream 5.0
The Sunburst page is explicit: "With Elite or Infinite plans, enjoy unlimited generations with this model at no additional cost." The Flare page only says you can test it with your credits and needs no separate subscription. It makes no unlimited promise, so check its page against your plan before assuming otherwise.
Is There an API for Either?
Short version: not through the public PicassoIA API as documented today.
What the PicassoIA API Exposes
The developer API lives at https://api.picassoia.com/v1 and authenticates with a bearer token that starts with pia_sk_. Its endpoints follow the familiar create, poll and cancel pattern:
POST /v1/models/{owner}/{name}/predictions
GET /v1/predictions/{id}
POST /v1/predictions/{id}/cancel
GET /v1/predictions
The documentation names four models: PicassoIA Image, PicassoIA Image Editor Pro, a PicassoIA video model, and Seedance 2.5 Lite. Sunburst and Flare are not on that list. The docs also state that API predictions are currently free and use no credits, with a ceiling of 5 predictions queued or running at once per account, shared across tokens and MCP connections.
The Optional OpenAI Credential Field
Both model forms include an optional field for an OpenAI credential, described as optional and using a proxy if you leave it empty. Both also include a user_id field meant to help OpenAI monitor abuse. In practice, leaving both blank is the normal path: you sign in to PicassoIA, spend credits (or use an unlimited plan where the page promises it), and the platform handles the rest.
If you need programmatic access to these two exact models, the model form is the route today. For anything you plan to automate, confirm the current API model list on the PicassoIA API page first, because that list is the part most likely to change.
How to Use Them on PicassoIA
The steps are identical for both models, which makes side-by-side testing easy.
Two prompts straight from the PicassoIA example galleries make good starting points: A golden retriever puppy wearing tiny sunglasses on a sunny beach, photorealistic, shallow depth of field and A cozy bookstore cafe interior at golden hour, warm lighting, photorealistic.
For edits, a pattern that keeps results predictable is to name the change first and the things to protect second:
Replace the background with plain white, keep the product, its shadow and its label exactly as they are.
Change the jacket to dark green and leave the face, the pose and the lighting untouched.
Add the word "OPEN" in white block letters on the shop window, nothing else changes.
Attach the source photo through input_images and keep each prompt to one or two changes. Stacking five edits in one instruction is how details drift.
Generate and Compare Results
Paste the same prompt into both tabs.
Set quality to medium on both, which costs 1 credit per image.
Set aspect_ratio to 3:2 on both.
Set number_of_images to 2 so you see some variation.
Click generate, then note the time each run takes.
Repeat once with a reference photo attached to test edits.
💡 Budget check: two images per model at medium costs 2 credits per model, 4 credits for the whole comparison.
Three ways comparisons go wrong: judging from a single image, since one lucky or unlucky render says little; changing the prompt between runs; and forgetting that auto quality on Flare bills at 5 credits while low on Sunburst bills at 0.3.
You want a usable first draft quickly and plan to iterate.
You generate square social graphics, since it opens on 1:1.
You are producing ad variations and want to compare up to ten options per run.
You are happy to pick the quality tier yourself rather than rely on auto.
If neither fits, the same category also lists GPT Image 2 and GPT Image 1.5, the latter with transparency in its page title.
Run Your Own Comparison Today
The most honest answer to "which is better" is a ten-minute test on your own prompts. Open GPT Image 2.5 Sunburst and GPT Image 2.5 Flare side by side, paste one prompt into both, match the settings, and judge the results with your own eyes.
Picasso IA gives you both models in one place, plus the rest of the image catalog if neither one wins. Pick a product photo, a poster headline or a scene you have been meaning to create, and generate your first pair of images now.