GPT-Image-2.5 Flare: Fast AI Image Generation Online
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GPT-Image-2.5 Flare

OpenAI's fastest image model: higher quality than the previous generation at half the latency

Category
Image
Modality
Text → Image
Context
—
Released
Sep 2026
Run this model Estimate cost
Strengths

What it's the best tool for

  • The fastest model in the line, at half the latency of the previous GPT Image 2 generation
  • Higher quality than the previous generation in the same workflow
  • Up to 20 images per request, so a whole series arrives in one pass
  • Transparent background straight out of the model, no manual cutout
  • Six quality tiers to trade speed against detail per task
  • Generation and mask editing in one model, with up to 16 references
Limitations

When to reach for something else

  • No negative prompt: unwanted details are removed by rewording or a mask edit
  • No fixed seed, so an exact repeat of a frame is not guaranteed
  • Transparency is preserved only in PNG and WEBP, JPG has no alpha channel
  • The low and medium tiers trade fine detail for speed
  • For peak quality and the densest layouts the line offers GPT-Image-2.5 Sunburst
Sample output

How GPT-Image-2.5 Flare responds

Prompt
Interior photograph: a sunlit ceramics studio in the late afternoon, a wheel with fresh clay in the foreground, shelves of unglazed pots receding into soft focus, dust in the light beams, a warm oak and chalk palette.
GPT-Image-2.5 Flare
Generation time: ~26 sec
Where teams use it

Four scenarios where it pays for itself

01
Social content
A batch of covers and posts in one pass, no waiting between frames
02
Prototypes and storyboards
Fast idea checks while the concept is still moving
03
Product cards
An object on a transparent background, ready for any layout
04
Visual option hunting
Up to 20 takes per prompt to pick the right angle
About model

More about GPT-Image-2.5 Flare

GPT-Image-2.5 Flare: Fast AI Image Generation Online

GPT-Image-2.5 Flare is the fastest image model from OpenAI, released on 8 September 2026. It generates from a text description and edits existing pictures, and its quality is higher than the previous generation GPT Image 2 at half the latency. It is the pick when images are needed in quantity and right away: content, prototypes, option hunting.

Volume and throughput

A single request returns up to twenty images, so instead of agonising over the wording you can look at twenty takes and choose. Dimensions are free-form, from 16 to 3840 pixels per side in steps of 16: a story, a square feed post and a wide cover all come out in their native ratio with no cropping afterwards. There are six quality tiers — auto, low, medium, high, xhigh, max. The lower ones return faster and suit drafts and idea sweeps; the upper ones are worth saving for the final frame. Prompts hold up to 32000 characters, so a full brief can be pasted in as is.

Transparent background without manual cutouts

Background has three modes: auto, opaque and transparent. In transparent mode the object arrives already cut out, with no manual masking before it goes into a product card or a banner. One condition applies: the format. Transparency lives in PNG and WEBP, while JPG has no alpha channel and will fill the background with white or black. This is the practical route for product cards, icons, stickers and anything that will sit on someone else's layout.

Mask editing

Generation and editing live in one model. A request can carry a source image, up to sixteen references and a mask marking the region to change. This is real inpainting: the rest of the frame stays put. The mask works as a hint rather than a hard pixel boundary, so the new object settles into the scene by light and perspective instead of being pasted along the outline.

Flare or Sunburst

Flare is about tempo: test an idea, build a series, keep a content pipeline moving. When a frame goes into a campaign, product photography or a dense design layout and has to survive close inspection, the line also offers the higher-tier GPT-Image-2.5 Sunburst. Neither model supports a negative prompt or a fixed seed.

How to start

The model runs on NetRoom right in the browser: no installation, no keys. Write the prompt in plain language and download the result as JPG, PNG or WEBP. Billing is token-based, the cost depends on scene complexity and the quality tier, and the current rate is shown in a separate block on this page.

Recent changes

What changed GPT-Image-2.5 Flare

  • + Added the GPT-Image-2.5 Flare (OpenAI) image model: half the latency of the previous generation, up to 20 images per request, mask-based editing.
Full changelog →

Use GPT-Image-2.5 Flare via the API

The same engine, straight from your code: one key and one balance for text, images, video and sound. Pay only for the requests you make.

curl
curl https://netroom.ai/api/v1/generations \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "openai/gpt-image-25-flare", "input": {"prompt": "A cinematic mountain sunrise"}}'

The model id is already in the example. The full parameter reference and prices live in GET /api/v1/models and in the docs.

API documentation Get an API key

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