Tasks and inputs
GPT Image 2.5 Flare is listed for Image-text-to-image, Text-to-image. It accepts text, image and produces image. Use the publisher’s input format and preprocessing for your chosen deployment.
SyncDev model directory · Profile updated Oct 13, 2026
GPT Image 2.5 Flare creates and edits images from text and image inputs through OpenAI’s image-generation APIs.
The specification score summarizes recorded features and limits. It is not a benchmark result.
Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.
Accepts
Produces
GPT Image 2.5 Flare creates and edits images from text and image inputs through OpenAI’s image-generation APIs.
Flare is the faster option in the GPT Image 2.5 family. It accepts a written brief and reference images and produces an image through the Images API or the image-generation tool in Responses.
Use Flare for draft campaign visuals, alternative compositions and the early rounds of a design workflow. Keep the brief, reference images, size and quality setting fixed when comparing attempts. Check legible text, requested objects, logo placement and whether small changes preserve the rest of the composition. Keep the approved original and the prompt together so the next revision has a clear starting point.
OpenAI prices text input, image input and generated image tokens separately. The model page lists $5 per million text input tokens, $8 per million image input tokens and $30 per million image output tokens; cached inputs have their own rates. These are not text-output prices. Quality and image size affect the amount of generation billed. Use the usage returned by the API to budget an actual request, including rejected drafts and revisions.
Compare the model on the work you need to complete.
GPT Image 2.5 Flare is listed for Image-text-to-image, Text-to-image. It accepts text, image and produces image. Use the publisher’s input format and preprocessing for your chosen deployment.
Choose the output size and quality your design needs. Include drafts and revisions when budgeting an accepted image.
Use the model identifier and account requirements for the selected API route. Confirm its request limits and output format with one complete task before connecting a larger workflow.
These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.
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