OpenAI / gpt-image-2.5-flare

GPT Image 2.5 Flare

GPT Image 2.5 Flare stands out for GPT-native image generation and Fast creative drafts. It is best suited to Design assets and Marketing content.

Image generation

Context

—

Not applicable

Unit rate

$0.27

/ image

Output

Included

Quality

—

No score

Overview

What this model is good for

GPT Image 2.5 Flare stands out for GPT-native image generation and Fast creative drafts. It is best suited to Design assets and Marketing content.

Model capabilities

Image output

Can generate or return images through media-generation workflows.

Model maker

Model maker and access

OpenAI

Called through SeaLink's unified account, balance, and OpenAI-compatible API.

Protocol

Media generation API

Base URL: https://api.sealink.io/v1

Pricing

Pricing and usage estimates

Image$0.27/ image

The final charge follows generated usage and the applicable selector, such as resolution, duration, input type, or provider unit.

API

Copy into your code

model

gpt-image-2.5-flare

base_url

https://api.sealink.io/v1

Auth

Bearer $SEALINK_API_KEY

cURL

curl https://api.sealink.io/v1/images/generations \
  -H "Authorization: Bearer $SEALINK_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-image-2.5-flare",
    "prompt": "A serene lake at sunset, oil painting style",
    "n": 1,
    "size": "1024x1024"
  }'

Python

import requests

url = "https://api.sealink.io/v1/images/generations"
headers = {"Authorization": f"Bearer {api_key}"}
payload = {
    "model": "gpt-image-2.5-flare",
    "prompt": "A serene lake at sunset, oil painting style",
    "n": 1,
    "size": "1024x1024",
}
resp = requests.post(url, json=payload, headers=headers)
data = resp.json()
print(data["data"][0]["url"])

Node.js

const resp = await fetch("https://api.sealink.io/v1/images/generations", {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${process.env.SEALINK_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "gpt-image-2.5-flare",
    prompt: "A serene lake at sunset, oil painting style",
    n: 1,
    size: "1024x1024",
  }),
});
const data = await resp.json();
console.log(data.data[0].url);

curl https://api.sealink.io/v1/images/generations \

-H "Authorization: Bearer $SEALINK_API_KEY" \

-H "Content-Type: application/json" \

-d '{

"model": "gpt-image-2.5-flare",

"prompt": "A serene lake at sunset, oil painting style",

"n": 1,

"size": "1024x1024"

import requests

url = "https://api.sealink.io/v1/images/generations"

headers = {"Authorization": f"Bearer {api_key}"}

payload = {

"model": "gpt-image-2.5-flare",

"prompt": "A serene lake at sunset, oil painting style",

"n": 1,

"size": "1024x1024",

}

resp = requests.post(url, json=payload, headers=headers)

data = resp.json()

print(data["data"][0]["url"])

const resp = await fetch("https://api.sealink.io/v1/images/generations", {

method: "POST",

headers: {

"Authorization": `Bearer ${process.env.SEALINK_API_KEY}`,

"Content-Type": "application/json",

body: JSON.stringify({

model: "gpt-image-2.5-flare",

prompt: "A serene lake at sunset, oil painting style",

n: 1,

size: "1024x1024",

}),

});

const data = await resp.json();

console.log(data.data[0].url);