# GPT Image 2 (I2I)

> GPT Image 2 (I2I) is available on Artifio.ai — a unified AI workspace with a single pay-as-you-go wallet.

- Canonical page: https://artifio.ai/models/gpt-image-2-image-to-image
- Run it: https://artifio.ai/create/gpt-image-2-image-to-image
- Modality: image editing
- Model brand: OpenAI
- Pricing: from about $0.030 per generation (exact cost shown in the workspace before you confirm; varies with selected options)
- Typical generation time: ~30s (catalogue estimate)
- Full pricing table: https://artifio.ai/pricing/models

## About GPT Image 2 (I2I)

GPT Image 2 is OpenAI's April 21, 2026 image model, shipped as ChatGPT Images 2.0 and exposed in the API as gpt-image-2. OpenAI's documentation describes it as a state-of-the-art model for both generation and editing, with high-fidelity image input support, and it carries the family's reasoning step: the model can plan, search the web, and self-check before returning a result.

This entry covers the image-to-image mode, where an uploaded picture is transformed or edited by instruction. Artifio offers it beside 100+ other models in one pay-per-generation workspace.

## Features

- Edits uploaded images from plain-language instructions, with high-fidelity input handling so source detail survives the round trip.
- Returns edited output at resolutions up to 2K with flexible image sizes.
- Self-checking during generation catches its own mistakes before the result is returned.
- Renders and corrects in-image text, including small text, iconography, and dense layouts, with improved coverage of Japanese, Korean, Hindi, and Bengali.
- One model covers generation and editing, so a generated draft can be edited in place without switching endpoints.

## What people use it for

- Revising existing marketing assets: swapping copy, resizing layouts, or adapting one design into several formats.
- Fixing or replacing text inside an image, a task earlier editors reliably garbled.
- Restyling photos and illustrations while keeping the source composition recognizable.
- Localizing creative work into Japanese, Korean, Hindi, or Bengali lettering.

## Reported strengths

- Text handling in edits is the standout: TechCrunch's launch coverage centered on its accurate rendering of dense, small text that previously broke image generators.
- High-fidelity image input is a documented capability in OpenAI's model page, aimed exactly at editing workloads.
- The reasoning step means an edit can be grounded in web references, useful when the instruction names a real product, place, or style.
- Wikipedia records it as the first GPT Image release to build reasoning into generation.

## Reported limitations

- Complex edits take minutes, so high-volume pipelines pay a real latency cost.
- The most advanced output options are gated to paid ChatGPT tiers; API access arrived after the ChatGPT rollout.
- The December 2025 knowledge cutoff can surface in edits referencing newer subjects unless the web-search step fires.
- OpenAI has not disclosed the architecture, so behavior differences from GPT Image 1.5 are only observable, not explained.

## Sources

1. GPT Image 2 Model (OpenAI): https://developers.openai.com/api/docs/models/gpt-image-2
2. ChatGPT's new Images 2.0 model is surprisingly good at generating text (TechCrunch): https://techcrunch.com/2026/04/21/chatgpts-new-images-2-0-model-is-surprisingly-good-at-generating-text/
3. GPT Image (Wikipedia): https://en.wikipedia.org/wiki/GPT_Image

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