GPT Image 2
−30% vs OpenAIGPT Image 2 is OpenAI's state-of-the-art image generation model for fast, high-quality image generation and editing. It supports flexible image sizes and high-fidelity image inputs, taking text and image input and returning images. It is the current image model, replacing GPT Image 1 and GPT Image 1.5.
The real OpenAI model
Same weights, same API, same answers. We change only how you pay for it: one key for every maker, one bill, no separate account to open. Every figure on this page comes from OpenAI’s own page — check it.
Maker's own pagePrice
input / output · per 1M tokensThe same model and the same answers through both. We choose the service for each request automatically.
Azure
−30%Only on FlintBeam−30% on every request
Direct on Azure: $8.00 / $30.00
Daily discount. Today's price can change.
OpenAI
−30%Only on FlintBeam−30% on every request
Direct on OpenAI: $8.00 / $30.00
Daily discount. Today's price can change.
One image: $0.08 to $0.14
Context
32,000
Modalities
The prices above are per 1M tokens, the unit every model is billed in. A picture is billed as the tokens it weighs, so a larger one costs more.
What it would cost you
1000 tokens is roughly 750 English words.
How it is served
Requests are retried automatically if a provider is unavailable.
Similar models
Models built for the same kind of work, at a similar price.
Eligible models may have a daily discount below the maker's price. Daily discounts apply to eligible models and can change from day to day.
Use it from your code
from openai import OpenAI
# Works with the official openai package (pip install openai)
client = OpenAI(
base_url="https://api.flintbeam.com/v1",
api_key="sk-live-your-api-key"
)
response = client.chat.completions.create(
model="openai/gpt-image-2",
messages=[
{"role": "system", "content": "You are an experienced software engineer."},
{"role": "user", "content": "Describe the architecture of a distributed cache."}
],
temperature=0.7,
max_tokens=1500
)
print(response.choices[0].message.content)