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By OpenAI · April 21, 2026

GPT Image 2

OpenAI's reasoning-powered image model — the one that finally renders readable text, infographics, slides and multilingual layouts.

Vendor
OpenAI
Released
Apr 21, 2026
Max resolution
4K
Reasoning
Yes (thinking)
Try GPT Image 2 →See pricing
01 / Overview

What is GPT Image 2?

GPT Image 2 is OpenAI's image model released April 21, 2026 — the direct successor to GPT Image 1.5, and the model that finally closes the multi-year gap on in-image text rendering. You can use it on CVY.AI without a separate OpenAI API account.

The headline change is reasoning. Earlier image models do one forward pass and return whatever the diffuser produces. GPT Image 2 plans the layout, drafts internally, verifies and then returns — which is how it manages legible 5-word headlines, correctly-labelled infographic axes, and consistent characters across a panel sequence. The tradeoff is latency: thinking mode is not a real-time tool.

It is the right pick when the image has to carry information, not just vibes. For straight aesthetic generation — hero shots, product mockups, fast iteration — pick Nano Banana or Nano Banana Pro instead and keep GPT Image 2 in reserve for the pieces that need words in them.

02 / Capabilities

What GPT Image 2 is good at

  • ▸

    Near-perfect text rendering

    Around 99% character-level accuracy across Latin scripts, Chinese, Japanese, Korean, Hindi and Bengali. The first OpenAI image model where menus, signage, slide titles and infographic labels come out actually readable instead of as glyph-soup.

  • ▸

    Reasoning before drawing

    First image model in the OpenAI lineup with an o-series reasoning loop. It plans layout, verifies its own output and revises before returning the image. Slower than a one-shot diffuser, but the composition is much more deliberate.

  • ▸

    Multilingual scripts done right

    High-fidelity rendering for non-Latin scripts — useful for localized campaign mockups, bilingual posters, CJK product packaging, and Devanagari or Bengali typography that other models bend into nonsense.

  • ▸

    Structured layouts: infographics, slides, maps

    Composes data-bearing images — labelled diagrams, map call-outs, slide layouts, manga panel sequences — with the labels staying attached to the right things. Image Arena #1 across every category at launch, by the largest margin ever recorded (+242).

  • ▸

    Multi-image consistency

    Keeps characters, products and brand colors coherent when you supply reference images, useful for character sheets, multi-pose product shots, and storyboards. Reference-conditioned edits are billed at higher fidelity rates upstream.

03 / When to use

When to reach for GPT Image 2

Use it for
  • +The image must contain real, readable text (signage, menus, slide titles, captions, infographic labels).
  • +Non-Latin scripts: CJK, Hindi, Bengali. Other models still mangle these.
  • +Structured layouts where labels need to land in specific places — diagrams, maps, dashboards, manga panels.
  • +Long, multi-constraint prompts where instruction-following matters more than raw aesthetic flair.
Skip it for
  • −Speed-sensitive work — GPT Image 2 plans before drawing, expect 15-30 seconds vs Nano Banana's 4-8s.
  • −Pure editorial / aesthetic shots — Midjourney still wins on artistic feel, even if GPT Image 2 wins on accuracy.
  • −Tight unit-cost work — for batch iteration where peak quality is not required, Nano Banana is 2.5× cheaper and faster.
04 / Pricing

How much does GPT Image 2 cost?

ResolutionCredits
1K2
2K3
4K5

1 credit ≈ one 1K Nano Banana generation. See pricing for monthly credit bundles.

05 / FAQ
How is GPT Image 2 different from DALL·E 3 / GPT Image 1.5?+
Different architecture, different positioning. GPT Image 2 has o-series reasoning baked in and near-perfect multilingual text rendering — DALL·E 3 and GPT Image 1.5 do not. OpenAI retired DALL·E 2 and DALL·E 3 on May 12, 2026; GPT Image 1.5 remains accessible for legacy integrations but is no longer the default.
Why does it sometimes take 15-30 seconds?+
GPT Image 2 reasons before drawing — it plans the layout, drafts internally, verifies and revises. The latency is the cost of that planning loop. For fast iteration where you do not need the reasoning, use Nano Banana instead.
Does it really do 4K?+
OpenAI lists 2K as the model's native max; the 4K option here is rendered on top of that. If you need provably-native 4K, use Nano Banana Pro — for everything else, GPT Image 2 at 2K is usually the right answer.
How does it compare to Ideogram or Midjourney v8?+
For in-image text, GPT Image 2 leads. For pure aesthetic / editorial composition, Midjourney v8 still has an edge. Ideogram offers more granular typography control but trails on overall scene composition. Use the right tool for the job — GPT Image 2 is the strongest pick when correctness matters more than artistic feel.
06 / Related models

Compare other AI image models

Use these pages to pick between speed, output quality, text rendering, and prompt-language fit.

Google

Nano Banana

Google's fast everyday image model — the one to reach for when you want a usable result in under five seconds.

Google

Nano Banana Pro

Google's flagship image model — reasoning-powered, native 4K, the one you reach for when the image has to survive close inspection.

ByteDance

Seedream 4.5

ByteDance's flagship image model — the strongest pick for Chinese-language prompts and the only model here that accepts up to 14 reference images at once.

View all models →
07 / Get started

Ready to try GPT Image 2?

Open the generator with GPT Image 2 preselected, or browse community work for inspiration.

Try GPT Image 2 →Browse gallerySee pricing