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OpenAI Image

OpenAI's image generation models — DALL-E and the newer GPT-image successors — turn text prompts into images, and are built directly into ChatGPT as well as available standalone through the OpenAI Images API. They rank #5 among the most-used AI model lines, at roughly 26.6% usage share, reflecting how widely they're used both by everyday ChatGPT users generating pictures and by developers building custom image-generation features into their own apps.

Quick facts
Made by: OpenAI
Access: Proprietary — paid usage-based API (platform.openai.com), plus generation inside ChatGPT's paid and free tiers
Context window: Not applicable in the traditional sense — prompts are typically limited to roughly 4,000 characters (varies by endpoint/version)
Strengths: High-quality photorealistic and stylized image generation, strong prompt-following, accurate text rendering inside images, inpainting/editing support
Primary use case: Text-to-image generation and image editing for marketing assets, illustrations, product mockups, and creative content
Jump to: ExampleGetting startedBest for

Example

Image generation is called through the OpenAI Python SDK's Images endpoint. This generates one image from a text prompt and returns a URL to the result.

from openai import OpenAI

client = OpenAI(api_key="YOUR_API_KEY")

result = client.images.generate(
    model="gpt-image-1",
    prompt="A cozy reading nook by a rain-streaked window, soft afternoon light",
    size="1024x1024",
    n=1
)

print(result.data[0].url)

Getting started

Create an OpenAI platform account, generate an API key, install the SDK, then call the images endpoint.

# 1. Create an account and API key at platform.openai.com/api-keys

# 2. install the SDK
pip install openai

# 3. set your key as an environment variable
export OPENAI_API_KEY="your-key-here"
Best for: Building custom image-generation features into an app or automating creative asset production — blog headers, product concept art, social media graphics — anywhere you need reliable text-to-image output via a straightforward API call.