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GPT Image 2.5 has two models with the same price and the same parameters:
  • gpt-image-2.5-flare for everyday images and drafts.
  • gpt-image-2.5-sunburst for detailed images and precise text.
Both use POST /v1/images/generations, like any other image model. This page lists what each parameter actually does, measured on our production API.

Output size

The size you send sets the shape and, from 2K up, the pixel size of the image. Checked on 12 November 2026: Larger images use more output tokens and cost more: a 2K medium image is about $0.019, a 4K `medium` image about $0.038. background: "transparent" is not supported; the image comes back as a regular PNG. Always read the real width and height from the returned file instead of assuming the size you sent.

Quality

quality changes both the detail and the price. high is the most detailed level. Requests that send xhigh or max are processed as high. The token counts are typical values. The exact count for each image is in the usage field of the response, and you are charged for that count.

Number of images

n can be 1 to 4. A request with n above 4 returns a 422 error and is not charged. For more images, send several requests in parallel. Each image in the response is charged by its own tokens: four medium images cost about 4 × $0.0074.

Pricing

GPT Image 2.5 is billed by tokens, like the official API, at 15% of the official rate: A prompt is usually under 100 tokens, so the price per image is almost entirely image output: output tokens × $4.50 / 1,000,000. When a request starts, Orvado holds $0.10 per image on your balance. After the image is ready, the hold is replaced by the actual token price. A request that fails returns the hold in full.

Example

This returns two 1536 × 1024 images for about $0.056 in total. The usage.output_tokens field shows the tokens charged:
Here 12,480 × $4.50 / 1,000,000 = $0.0562.

Edit an image

GPT Image 2.5 edits use POST /v1/images/edits with input images as multipart image[] files or a JSON image_url. An edit is billed by tokens like a generation, plus the input images as image input tokens at $1.20 per 1M. A 1024 × 1024 photo is about 1,800 input tokens, so a `medium` edit costs about $0.0096. A mask is not supported. See Edit an image.

Response time

GPT Image 2.5 takes about 25 to 60 seconds per request. Set your client timeout to at least 180 seconds; 600 seconds is safest. See timeouts.
Measured on 22 and 23 October 2026. If the model starts returning larger images, this page will be updated.