GPT Image 2.5 Sunburst vs Flare: Which Model Should You Use in 2026?

OpenAI shipped GPT Image 2.5 on 8 September 2026 as two API variants, gpt-image-2.5-flare and gpt-image-2.5-sunburst, and most people meeting them assume the same thing: the "quality" one must be the expensive one. It is not. OpenAI's published pricing lists identical token rates for both models, $5.00 per 1M text input tokens, $8.00 per 1M image input tokens and $30.00 per 1M image output tokens (OpenAI API pricing, checked 9 September 2026). Same numbers, both rows.

That changes the question. If budget cannot decide it, time has to. The Ultimate Profile team ran one head-to-head spot check through a reseller on 9 September 2026: the two variants came in seven seconds apart generating a photo from scratch, and roughly 2.2 times apart editing an existing one. This guide explains why, and which to pick for a dating photo, a professional headshot or a social profile picture.

The framework: three things actually differ, and price is not one of them

Three axes matter to anyone choosing a profile photo.

Axis 1: what OpenAI built each one for. OpenAI's own documentation is blunt about it. It calls GPT Image 2.5 Flare "the small model, optimized for speed" and GPT Image 2.5 Sunburst "the base model, optimized for quality", and tells developers to "start with GPT Image 2.5 Flare when speed is the priority, or GPT Image 2.5 Sunburst when demanding quality requirements are the priority" (OpenAI image prompting guide, checked 9 September 2026). Sunburst's model page adds that it suits "workflows where editing precision matters most" (checked 9 September 2026).

Axis 2: latency, split by task. This is not one number. Generating from a text prompt and editing a photo you already own are different amounts of work, and the gap between the variants behaves differently in each case.

Axis 3: price. There is no axis 3. OpenAI prices these models by token rather than per image, at the same rates for both, so there is no official price per photo at all. Any per-image figure you see anywhere, including ours, is a reseller's price for one resolution. On the reseller we use, kie.ai, both variants bill $0.03 per image at 1K, $0.05 at 2K and $0.08 at 4K, read off our own integration's rate card on 9 September 2026.

So the honest framing of "gpt image 2.5 sunburst vs flare" is not which is cheaper. It is what you are asking the model to do.

GPT Image 2.5 models compared: the verified specification table

Everything below was read off OpenAI's own pages, our own reseller integration, or our own timings on 9 September 2026. Where a value is not published, the cell says so rather than guessing.

Both accept up to 16 images in a single edit request, in PNG, WebP or JPG under 50MB each, and both support arbitrary output resolutions as WIDTHxHEIGHT strings, edges divisible by 16, aspect ratio between 1:3 and 3:1, maximum 3840x2160 (OpenAI image edit API reference, checked 9 September 2026), at the same quality settings: low, medium, high, xhigh, max and auto. GPT Image 2.5 aspect ratios are not a differentiator, and neither is the reference-image limit.

Is Sunburst slower than Flare? What one timed run actually showed

We ran four generations, one per cell: each variant generating from a text prompt, and each editing the same source photo. All four went out in parallel through kie.ai at 1K in a 3:4 frame, so they shared queue conditions. One sample per cell, four images in total. This is a spot check, not a benchmark, and every number below carries that caveat. These are end-to-end wall-clock times through a reseller, including its queue time, so they are not a measurement of OpenAI's own API latency.

On the generation path, Flare finished in 91 seconds and Sunburst in 98 seconds on this single run. Seven seconds is not a meaningful difference for one photo, and we are not going to sell it as one. If you generate from scratch, gpt image 2.5 sunburst speed is not a factor, and you should choose on output character instead.

On the editing path the picture changed completely. Flare returned its edit in 84 seconds. Sunburst took 185 seconds for the same instruction on the same source image, roughly 2.2 times longer. That is the number worth remembering from this whole comparison, and it is consistent with OpenAI's own framing of the two variants: the launch announcement describes Flare as offering lower latency and Sunburst as offering "precision for detailed creative work, with longer generation times" (OpenAI announcement thread, checked 9 September 2026).

Both were good. On the text-to-image pair, Sunburst held more skin micro-texture: visible pore structure, specular highlights across the forehead and cheekbone, resolved flyaway hairs in the backlight. Flare produced a more polished, more colour-forward image with cleaner skin and a warmer grade. At one sample that is an observation about character, not a finding about competence. Hands were not in frame in either, so this test says nothing about hand rendering, group shots, text rendering, or output above 1K.

On the editing pair, both preserved our subject's identity well against the source selfie, on one subject and one photo. For the feature-by-feature walkthrough and the verdict, see what GPT Image 2.5 actually did to a real dating photo.

Which GPT Image 2.5 model is better for headshots, dating photos and social profiles

Start from what you are doing, because the answer flips: Flare or Sunburst for headshots is a different question from Flare or Sunburst as an editing model.

If you are generating from scratch, pick on character, not clock. Seven seconds on one run is noise. For a dating photo, the rougher, more textured look tends to read as more believable, which argues for Sunburst. For a professional headshot or a social profile picture, Flare's cleaner grade is closer to what people expect from that genre. Both are $0.03 at 1K on our reseller, so trying both costs six cents.

If you are editing a photo you already have, the clock is the whole decision. At 84 seconds against 185 seconds on a single run, Flare gives you roughly twice as many attempts per hour of your own patience, and editing is a try-adjust-try-again process. Iterate on Flare; switch to Sunburst once you have converged on the edit you want. That is the practical reading of "which gpt image 2.5 model is better", and it is the opposite of the usual premium-tier logic.

So is Sunburst worth it? The question does not survive the pricing page: worth implies a premium, and there is no premium. The only currency you spend on Sunburst is waiting, and only when editing. So the best GPT Image 2.5 model for profile pictures is whichever matches your patience. GPT Image 2.5 Flare quality was not a problem in anything we generated, and the GPT Image 2.5 price per image does not move either way.

What to check in the output, whichever variant you pick

Two things in our single Sunburst edit are worth knowing before you review your own result.

Check for invented scene content. Our Sunburst edit added a prop nobody asked for: a glass of beer in the foreground of a photo whose prompt never mentioned one. Editing models invent supporting scene content, and for a dating profile an invented prop is an editorial decision you should make consciously rather than discover later.

Check the background text. In the same image, a chalkboard rendered as faux-script: at a glance it reads as a menu, but the lettering is not real words. At profile-picture size nobody would see it; at full size it is visible. That is one image, and the honest summary is narrow: realism is excellent on faces and light, still imperfect on incidental background text.

And know what the model will not do for you. Neither variant corrected our source photo's downward gaze or flat expression. Both restyled light and scene and left the pose exactly as it arrived. A weak input pose produces a beautifully lit photo of a weak input pose, which is why the selfie you feed an editing model matters more than the prompt. The honest buyer's guide to AI headshot generators covers what makes an input photo good enough, and our guide to AI profile picture generators has the likeness checklist for whatever comes back. Prompts and refusals are covered in our GPT Image 2.5 prompt guide.

Where The Ultimate Profile fits

We sell an AI photo product, so treat this section as interested and weigh it accordingly. Everything above stands without it.

The Ultimate Profile runs GPT Image 2.5 Sunburst in production. That is a considered choice: our users hand us one selfie and expect a photo that still looks like them, so we accept the longer edit time for the tighter facial geometry and extra skin texture we saw in our spot check. Nobody watches a progress bar, so the latency lands on us rather than on them.

If you are building your own pipeline, our advice differs from our own choice: iterate on Flare, finish on Sunburst. If you would rather not build anything, the product turns one uploaded selfie into finished photos in about five minutes, at $10 a month on the Starter plan or $7 a month billed yearly, with a 30-day money-back guarantee on the first subscription payment (any monthly or yearly plan), first credit-pack purchase or one-time Starter set offer: request a full refund at [email protected] within 30 days of the payment; renewals are excluded and credits and sets granted by the refunded payment are removed; statutory rights remain unaffected (pricing). Either way, apply the same test: zoom to 100 percent and check that the face is still yours.

For newer reference-based options, read our guide to Nano Banana 2.1 profile photos and our guide to Seedream 5.0 Pro profile photos. Both include practical prompts and a disclosed, single-attempt comparison using the same real stock-photo references.