GPT Image 2

gpt-image-2

GPT Image 2 supports rich multimodal workflows, allowing users to seamlessly move between reasoning, coding, and visual generation within the same interaction.

Context window272K

ProviderOpenAI

Released2026/04/26

Playground

Pricing

Billing item	Price
Image generation	$0.1100 / image

How billing works:

Billed per generation
Failed requests are not billed

Example:Generating one image costs $0.1100

Overview

Input

Text

Output

Image

GPT Image 2 API: An Agentic Image Model That Thinks Before Drawing

GPT Image 2 is a native image generation model released by OpenAI in April 2026, and the first true agentic image model in the industry—before generating, it proactively researches, plans, and reasons about the image structure, rather than directly mapping prompts to pixels.

This brings several practical differences: significantly more reliable text rendering (including non-Latin characters), output resolution up to 2K, up to 8 stylistically consistent images in a single request, and notably stronger performance in the two scenarios that test details the most: photorealistic rendering and UI screenshots.

SeaWhale AI offers GPT Image 2 through an OpenAI-compatible image API, supporting text-to-image generation, image editing, and multi-image generation.

Get API Key · Model ID: gpt-image-2

Why Choose GPT Image 2

Reason first, then generate — the first model to integrate reasoning into image generation, making complex compositions more controllable
Reliable text rendering — text in posters, UI, and infographics finally displays correctly, including Chinese
Up to 2K output resolution — ready for production use directly, no upscaling needed
Up to 8 consistent images per request — generate series illustrations and multi-angle assets in one pass
Photorealism and UI screenshots — outstanding performance in the two most detail-demanding scenarios

Core Capabilities

01 Agentic Generation Workflow

GPT Image 2 plans before putting pen to paper: it understands the requirements, studies the composition, and reasons about the spatial relationships between elements. This makes it significantly more accurate at structured requirements like "what should be in the image and how should the elements be arranged."

Complex compositions and multi-element layouts
Correct handling of spatial relationships and occlusion
Faithful reproduction of structured requirements

02 Text Rendering

Text was the biggest weakness of previous image models. GPT Image 2 can reliably render specified text and supports non-Latin character sets, making it directly usable for posters, banners, infographics, and UI mockups.

Posters, banners, and marketing assets
Infographics and chart annotations
Non-Latin character (including Chinese) rendering

03 High Resolution and Multi-Image Consistency

With up to 2K output resolution and up to 8 images per request that keep style and subject consistent, it's ideal for scenarios that need complete asset sets.

2K resolution delivered directly
Series illustrations and multi-angle assets
Style and character consistency

04 Photorealism and Interface Design

It performs outstandingly in photorealistic rendering and UI screenshots, and can be used for product concept images, scene compositing, and interface prototype visualization.

Product concept images and scene compositing
UI prototype and interface screenshot generation
Realistic materials and lighting

Best Use Cases

Use Case	Description
Marketing asset generation	Posters with copy, banners, social media images
E-commerce and product images	Product concept images, scene compositing, multi-angle assets
Infographics and charts	Visual content requiring accurate text annotations
UI/UX prototypes	Interface screenshots, design concept drafts
Content illustrations	Supporting images for articles, courseware, and reports
Series assets	Complete sets of images requiring consistent style

GPT Image 2 vs. Other Image Models

Capability	GPT Image 2	Nano Banana Pro	FLUX.2 Pro
Model ID	`gpt-image-2`	`gemini-3-pro-image-preview`	`flux-2-pro`
Vendor	OpenAI	Google	Black Forest Labs
Generation method	Reason first, then generate	Multimodal native generation	Diffusion model
Text rendering	Strong (incl. non-Latin characters)	Strong	Average
Max resolution	2K	High	High
Multi-image per request	Up to 8 consistent images	Supported	Supported

Image models are billed per request; specific prices are subject to the real-time price card at the top of the page.

How to Use the GPT Image 2 API

1. Create a SeaWhale AI API key Generate a key in the console and top up your balance.

2. Describe structure in prompts, not just style GPT Image 2 reasons about composition first, so spelling out "what's in the frame, how it's arranged, and what text appears" pays off more than piling up style keywords.

3. Call the API

curl -X POST https://api.atalk-ai.com/images/generations \
  -H 'Authorization: Bearer YOUR_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
    "model": "gpt-image-2",
    "prompt": "A product launch poster: dark background, a silver laptop centered in the frame, large text at the top reading 'SeaWhale AI Developer Conference', small text at the bottom for the date and location, clean and modern overall style.",
    "n": 1,
    "size": "1024x1024"
  }'

For image editing, use /images/edits; for image variations, use /images/variations.

FAQ

When was GPT Image 2 released? In April 2026. The API and Codex went live on the 21st, and ChatGPT rolled out to all users on the 22nd.

What's its relationship with DALL·E? The GPT Image series is OpenAI's native image generation model, built directly into the model's capabilities rather than running as a standalone system like DALL·E.

Can it really render text correctly? It's one of the biggest improvements of this generation. Specified text can be rendered correctly in most cases, and non-Latin character sets are supported, so Chinese use cases are covered.

What's the maximum image size? Up to 2K resolution, and up to 8 stylistically consistent images per request.

Does it support image editing? Yes. SeaWhale AI provides three endpoints: /images/generations (text-to-image), /images/edits (editing), and /images/variations (variations).

How is billing calculated? Image models are billed per request and counted separately from text models billed by token. See the price card at the top of the page for specific unit prices.

Why Choose SeaWhale AI for the GPT Image 2 API

Unified account for image and text — one key for both image models and chat models
OpenAI-compatible API — existing image generation code just needs a base URL change
Multiple image models available — compare GPT Image 2, Nano Banana, and the FLUX series side by side
Transparent per-request billing — track generation volume and costs on the same dashboard

API

API integration

Model ID

gpt-image-2

Use this value as the model in image generation requests

API Key

View it in API key management

Bearer token (OAuth 2.0) used to authenticate image generation requests

Image API

https://api.atalk-ai.com/v2/images/generations

Image size

1:1

Square — avatars and icons

2:3

Portrait — phone wallpapers and posters

3:2

Landscape — scenery and banners

3:4

Portrait — Instagram vertical

4:5

Portrait — social media content

5:4

Landscape — presentation slides

9:16

Vertical — full-screen mobile and Stories

16:9

Widescreen — video thumbnails and desktop wallpapers

21:9

Ultrawide — cinematic framing

Multiple aspect ratios are supported for different use cases — social media, ads, wallpapers and more.

gpt-image-2 usage examples

The SeaWhale AI image generation endpoint is compatible with the OpenAI Images API and can be called with standard HTTP requests.

cURLPythonNode.js

curl https://api.atalk-ai.com/v2/images/generations \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer <API_KEY>" \
  -d '{
    "model": "gpt-image-2",
    "prompt": "A cute kitten playing in the sunshine",
    "aspect_ratio": "1:1"
  }'

import requests

url = "https://api.atalk-ai.com/v2/images/generations"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer <API_KEY>",
}
payload = {
    "model": "gpt-image-2",
    "prompt": "A cute kitten playing in the sunshine",
    "aspect_ratio": "1:1",
}

response = requests.post(url, json=payload, headers=headers)
response.raise_for_status()

data = response.json()
print(data["data"][0]["url"])

const response = await fetch('https://api.atalk-ai.com/v2/images/generations', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'Authorization': 'Bearer <API_KEY>',
  },
  body: JSON.stringify({
    model: 'gpt-image-2',
    prompt: 'A cute kitten playing in the sunshine',
    aspect_ratio: '1:1',
  }),
})

const data = await response.json()
console.log(data.data[0].url)