GPT Image 2 (T2I) — AI Image Generator

About GPT Image 2 (T2I)

Features

• Generates images at resolutions up to 2K, a step past the 1536-pixel ceiling of GPT Image 1.5.
• Thinking capability lets the model search the web, plan a composition, create several images in one batch, and self-check results before returning them.
• Renders small text, iconography, UI elements, and dense compositions that broke earlier image generators, per TechCrunch's launch review.
• Improved non-Latin text rendering covering Japanese, Korean, Hindi, and Bengali.
• Handles both generation and editing in one model, with flexible image sizes and high-fidelity image input support.
• Available through OpenAI's Image API as gpt-image-2, with the 2026-04-21 snapshot as the current version.

What people use it for

• Marketing assets produced in several sizes from one brief, a batching workflow OpenAI demonstrated at launch.
• Menus, posters, packaging, and other layouts where dense, correctly spelled text is the whole point.
• Multi-panel comic strips and storyboards generated as a coherent set.
• Multilingual creative work that needs accurate Japanese, Korean, Hindi, or Bengali lettering.
• UI mockups and diagram-style images that depend on small legible labels.

Reported strengths

• Text rendering is the widely reported step change; TechCrunch contrasted a correctly spelled 2026 restaurant menu with the garbled DALL-E 3 attempts of 2024.
• Reasoning before rendering means the model can ground an image in live web references instead of guessing.
• Wikipedia records the release as the first GPT Image model to build a reasoning model into generation, arriving less than five months after GPT Image 1.5.
• Free-tier availability in ChatGPT from day two made it one of the most accessible frontier image models at launch.

Reported limitations

• Complex generations are slow relative to chat: multi-panel pieces take a few minutes to come back.
• The model's knowledge cutoff is December 2025, so prompts referencing later events can miss without the web-search step.
• The most advanced output options are reserved for paid ChatGPT tiers.
• OpenAI declined to disclose the underlying architecture, leaving independent evaluation of the design to guesswork.

Sources

1. GPT Image 2 Model (OpenAI)
2. ChatGPT's new Images 2.0 model is surprisingly good at generating text (TechCrunch)
3. GPT Image (Wikipedia)

What GPT Image 2 (T2I) is good at

• +Superb stylized interpretation: our vintage seed-packet test came back with period-correct ornament, aged paper, and golden produce matching the variety name — the best design-brief interpretation in the battery.
• +Text rendering is reliable across sizes, from large signage down to sub-headline small print, with zero corrupted words in our tests.
• +Gritty, textured realism on character portraits — weathered skin and workwear read authentically rather than beauty-filtered.

Where GPT Image 2 (T2I) falls down

• −A consistent warm amber/sepia cast shows up across outdoor scenes — visible in both our portrait and signage tests. It flatters vintage briefs but you'll fight it when you need neutral color.
• −The slowest image model we tested: successive runs took 81s and 145s against a 30s estimate, several times slower than same-class rivals.
• −People interacting can drift into posed-stock territory: our handshake test had both subjects grinning at the camera instead of each other.

Best for

• Vintage and illustrated design briefs
• Posters and packaging
• Textured character portraits

Sample outputs

Generated on Artifio with GPT Image 2 (T2I). Each sample shows the exact prompt used.