GPT Image 2.5 Flare

Overview

Released in September 2026, GPT Image 2.5 comes in two variants; Flare is the one tuned for everyday generation. It accepts a text prompt plus optional reference images and returns images at 1024×1024, 1024×1536 or 1536×1024, with low, medium and high quality tiers (medium is the default). Each reference image adds a small charge once per request. In our own tests it held a person’s identity across reference images, rendered logo and slide text letter-exact, and finished a medium image in roughly 10 seconds. Billing is per image at the chosen quality tier, and the response carries the exact cost in usage.cost. It generates images only: no text output, structured outputs or reasoning controls. It is not a vector model, so use a vector SKU when you need SVG.

Specs

Field	Value
Model ID	`gpt-image-2.5-flare`
Best for	Consistent characters from references, text-in-image, portraits
Input modalities	Text, Image
Output modalities	Image
Speed	Fast
Cost band	Balanced
Release stage	Stable

Pricing

	Price
Per image	$0.019

Billed per generated image. Every request reports its exact cost in usage.cost; the full media price list is on Pricing.

Use this when

Consistent Characters — Keeps the same face, hair and details across a series of images from one or more reference photos.
Text-Exact Graphics — Renders wordmarks, slide titles and social cards with the lettering spelled as written.
Portraits From References — Produces photoreal portraits and scenes of a real subject from a handful of reference images.
Reference Image Editing — Changes setting, lighting or outfit while preserving the subject in the reference.

Not ideal for

Do not use this model for vector output, structured JSON, or the cheapest possible bulk drafts.

Pick something else when

You need the previous generation with the same tiers: use gpt-image-2.
You require scalable vector graphics: use recraft-v4-vector.
You need sub-cent bulk drafts: use minimax-image-01.

Example

from openai import OpenAI

client = OpenAI(base_url="https://kymaapi.com/v1", api_key="kyma-...")

response = client.images.generate(
    model="gpt-image-2.5-flare",
    prompt="...",
)

Agent query example

Ask the API which models fit, instead of hardcoding an id:

curl "https://kymaapi.com/v1/models?recommended_for=generate-images&quality_tier=frontier-open"

FAQ

Is this the same as gpt-image-2.5? Yes. GPT Image 2.5 is published as two variants, Flare and Sunburst; Kyma serves Flare under the id gpt-image-2.5-flare. Which quality tiers can I request? low, medium and high. Medium is the default, and the price follows the tier you pick. Can I pass reference images? Yes. Send image_url or image_urls (up to 16) with the request and the model edits from those references. Each reference adds a small charge once per request.

​Overview

​Specs

​Pricing

​Use this when

​Not ideal for

​Pick something else when

​Example

​Agent query example

​FAQ