chatgpt

AI Image Generators

GPT Image 2

OpenAI's current GPT image API model for text-heavy graphics, precise edits, and fast concept-to-asset work.

Pricing: Usage-based from $0.01. Best for Text-heavy posters and social graphics and Infographics, explainers, and diagram-like compositions.

Tool score: 9.1 / 10
Usage-based from $0.01
API available

Tool scorecard

How the tool scores

A standardized tool profile score across usability, pricing value, feature depth, and support quality.

Tool score

9.1

/ 10

Ease of use

9.4

Onboarding, navigation, and day-to-day workflow friction.

Value for money

9.0

How much practical capability the product delivers for the price.

Features

9.5

Breadth, polish, and depth across the core product surface.

Support

8.5

Docs, help channels, and how easily issues get resolved.

Overview

Bottom line

GPT Image 2 is strongest for Text-heavy posters and social graphics and Infographics, explainers, and diagram-like compositions and teams that want API access.

It offers usage-based from $0.01 and works across API.

GPT Image 2 is OpenAI's current GPT-based image API model for high-quality generation and editing. If you are searching for ChatGPT Images 2.0, ImageGen 2.0 in ChatGPT, or the current OpenAI image stack in the API, this is the core model family page you mean.

The named API model is gpt-image-2, while chatgpt-image-latest is the moving alias that tracks the ChatGPT image snapshot. ChatGPT plan access is related context, but GPT Image 2 itself is best understood as the engine and API layer.

GPT Image 2 is especially strong for text-heavy posters, infographics, multilingual layouts, reference-image editing, and fast concept-to-asset workflows where you want to prompt, revise, and ship without bouncing between multiple tools.

Where it is less dominant is just as clear. Midjourney is still the stronger choice for aesthetic-first art. Ideogram remains sharper for typography-first poster and logo work. Adobe Firefly fits better inside Adobe-native branded workflows. Recraft stays ahead when the deliverable needs vector-first brand assets.

Pricing

Pricing snapshot

GPT Image 2 API

Custom quote or bundled pricing

Usage: Pay-as-you-go: text input $5 per 1M tokens, cached text input $1.25 per 1M tokens, text output $10 per 1M tokens; image input $8 per 1M tokens, cached image input $2 per 1M tokens; image output $30 per 1M tokens; common square output approx $0.006 per image (low), $0.053 per image (medium), $0.211 per image (high)

  • Text-to-image generation and edits
  • High-fidelity image inputs and reference-driven workflows
  • Flexible sizes up to 4K-class outputs

Capabilities

Input types

text, image, file

Output types

image

Platforms

api

API

Company context

Company

OpenAI

Founded

Not specified

Headquarters

Not specified

Category

AI Image Generators

Screenshots

Product surfaces

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FAQ

Common questions

Is GPT Image 2 the same thing as ChatGPT Images 2.0?

Not exactly. ChatGPT Images 2.0 is the consumer experience inside ChatGPT, while GPT Image 2 is the current versioned API model label. `chatgpt-image-latest` is the API alias that tracks the ChatGPT snapshot.

What is GPT Image 2 best at?

It is strongest when the image needs to communicate something precise: posters, infographics, multilingual layouts, product mockups, diagram-like explainers, and reference-image edits that need tight prompt adherence.

When should I pick Midjourney, Ideogram, Adobe Firefly, or Recraft instead?

Pick Midjourney for aesthetic-first art, Ideogram for typography-first posters or logos, Adobe Firefly for Adobe-native branded workflows, and Recraft for vector-first brand asset production.

Does GPT Image 2 support reference-image editing?

Yes. OpenAI positions the family around generation plus editing, and the current GPT Image 2 API supports high-fidelity image inputs for reference-driven edits and iterative revisions.

How does pricing work?

At the core, GPT Image 2 uses usage-based API pricing. ChatGPT plans can give end users image access in the app, but those subscriptions are separate from API billing and do not include API credits.

Recent updates

Changelog snapshot

improvement

April 21, 2026GPT Image 2

OpenAI added GPT Image 2 as the default API model with flexible image sizes, high-fidelity image inputs, and lower listed per-image costs at common sizes.

improvement

December 16, 2025ChatGPT Images refresh

OpenAI rolled out the new ChatGPT Images experience with faster generation, stronger edits, and denser text rendering ahead of the GPT Image 2 API cycle.

feature

March 25, 20254o Image Generation

OpenAI introduced native image generation in GPT-4o with materially better text rendering, instruction following, and in-context image editing.

Decision rail

Keep the key facts, primary action, and section jumps visible while you evaluate the profile.

Visit Official Site

Last verified April 22, 2026

Pricing
Usage-based from $0.01
Platforms
API
Best for
Text-heavy posters and social graphics, Infographics, explainers, and diagram-like compositions, Multilingual layouts with lots of on-image copy, Reference-image editing and multi-turn revisions, Fast concept-to-asset workflows for marketing, product, and content teams
Category
AI Image Generators

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Navigation

Tool cluster

Head-to-head

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VSGPT Image 2 vs Leonardo AIGPT Image is the better default because it pairs strong text handling, direct editing, and clearer API economics in a tighter product. Leonardo AI remains the better choice when breadth, visual control, and multi-model workflow matter more than simplicity.VSGPT Image 2 vs Nano BananaChoose GPT Image if you want the safer all-around buying decision for production work. It is the stronger default for text-heavy asset creation, clearer product-plus-API coverage, and documented output controls. Choose Nano Banana when conversational editing speed inside Gemini matters more than broader production coverage.VSGPT Image 2 vs RecraftGPT Image is the better default for most buyers because it covers the broader everyday workload: fast social assets, campaign visuals, product comps, and repeated prompt-driven edits. Recraft remains the stronger specialist when editable vectors, reusable style systems, and downstream design handoff are the real priority.VSGPT Image 2 vs Adobe FireflyGPT Image is the better default because the core experience is stronger where most buyers feel the difference: prompt fidelity, text-heavy assets, conversational iteration, and flexible access across ChatGPT and the API. Adobe Firefly is still the right stay-with-it option for Adobe-native teams that prioritize governed brand workflows, Content Credentials, and Photoshop-centered finishing.VSGPT Image 2 vs IdeogramGPT Image is the better default for typography-heavy buyers because it combines multilingual text rendering, chat-native iteration, and stronger brief understanding, while Ideogram remains the better specialist for direct type and layout control.VSGPT Image 2 vs MidjourneyGPT Image is the better default for buyers producing posters, infographics, ads, and other edit-heavy assets because it handles instructions, text, and reference-led revisions better. Midjourney remains the better niche choice for pure aesthetic exploration and style-led concept art.

Reference links