{
  "id": 7249041,
  "title": "GPT-Image-2.5 in Production: Choosing Between Flare and Sunburst",
  "url": "https://urgent.news/2026/09/14/gpt-image-2-5-in-production-choosing-between-flare-and-sunburst",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-14T05:08:41.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/dylanfoster1/gpt-image-25-in-production-choosing-between-flare-and-sunburst-mg1"
  },
  "original_language": "en",
  "account": "GPT-Image-2.5 is a collection of two models: Flare and Sunburst, unveiled by OpenAI on September 8, 2026. Flare is designed for low latency and routine image generation, while Sunburst excels in editing precision, reference preservation, and higher-fidelity final output. Both models operate through the Images API for generation and editing, accepting text and image inputs and supporting quality levels ranging from auto to max.\n\nFor existing OpenAI-compatible integrations, migrating to GPT-Image-2.5 is relatively straightforward, involving changes to the base URL, credentials, and model ID. A recommended starting point is using Flare at medium quality to measure latency and image costs, then routing demanding edits or premium assets to Sunburst.\n\nTo generate an image using Flare, a server-side token must be generated and kept secure, not exposed in client-side code or logs. The request is made to the generation route, specifying the model, prompt, size, quality, and output format. The response includes the generated image data in the b64_json field, which should be decoded and stored in your system.\n\nFor editing existing assets, the /images/edits route is used. The edited image should preserve the original as much as possible, with only the specified regions or attributes modified. A mask indicating the editable region is crucial, ensuring all other pixels, text, and geometry remain intact.\n\nWhen working with multiple reference images, each should be given a clear semantic role in the prompt, specifying which attributes they should influence. The Responses API can be useful when image generation is part of a larger conversational or agent workflow, allowing for a more natural integration.",
  "summary": "The short version GPT-Image-2.5 is split into two models: Flare favors low latency and routine generation. Sunburst favors editing precision, reference preservation, and higher-fidelity final output. Both accept text and image inputs, support the quality levels auto , low , medium , high , xhigh , and max , and work through the Images API for generation and editing. For an existing…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}