OpenAI
GPT Image 2.6 Flare
OpenAI GPT Image 2.6 Flare for fast everyday image generation, editing, and iteration
Model TypeFast image generation and editing
Input / OutputText and image input, image output
API EndpointsSupports Image API generations and edits
Pricing & Specs
💰 Pricing
Input (Text)$5 / M tokens
Input (Image)$8 / M tokens
Price$30 / M image output tokens
⚙️ Specs
Model TypeFast image generation and editing
Input / OutputText and image input, image output
API EndpointsSupports Image API generations and edits
SizesCommon sizes: 1024x1024, 1536x1024, 1024x1536; custom dimensions use multiples of 16 and a 1:3 to 3:1 aspect ratio
Qualitylow / medium / high / xhigh / max / auto
Complexitylow / medium / high (default), independent of quality
Output FormatPNG / JPEG / WebP; generations also support SVG / animated GIF; base64 results
BackgroundTransparent PNG/WebP output with background=transparent
Standard PricingText input $5 / 1M tokens ($1.25 cached), image input $8 / 1M tokens ($2 cached), image output $30 / 1M tokens
Model NotesPrioritizes generation speed for everyday creation, batch exploration, and rapid iteration
Doc StatusUpdated from OpenAI's official image generation guide and pricing page
API Examples
Python
from openai import OpenAI
import base64
client = OpenAI(
base_url="https://api.xairouter.com/v1",
api_key="your-api-key"
)
result = client.images.generate(
model="gpt-image-2.6-flare",
prompt="A vertical poster for a modern tea brand, glass cup, grapefruit slices, fresh white and green background",
size="1024x1536",
quality="high",
output_format="png",
)
image_base64 = result.data[0].b64_json
with open("poster.png", "wb") as f:
f.write(base64.b64decode(image_base64))cURL
curl -s https://api.xairouter.com/v1/images/generations -H "Content-Type: application/json" -H "Authorization: Bearer YOUR_API_KEY" -d '{
"model": "gpt-image-2.6-flare",
"prompt": "A vertical poster for a modern tea brand, glass cup, grapefruit slices, fresh white and green background",
"size": "1024x1536",
"quality": "high",
"output_format": "png"
}' | jq -r '.data[0].b64_json' | base64 --decode > poster.png