GPT Image 2 — State-of-the-Art AI Image Model

~99% text accuracy.4K resolution.Built-in reasoning.Free to try.

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GPT Image 2 vs Other AI Image Models

How GPT Image 2 compares with leading AI image models on text accuracy, multilingual support, and reasoning.

Feature	GPT Image 2	Seedream 4.5	Nano Banana 2
Text rendering accuracy (any language)	~99%	Best in class	Good
Multilingual text (JA / KO / ZH / HI / BN)	Native support	Native (CN focus)	EN / ZH
Reasoning before generation	Yes — visible chain-of-thought	No	No
Inpainting / outpainting (masks)	Yes — precise region edits	Natural language only	Natural language only
Max resolution	4K	4K (2048×2048)	4K
Free trial	Yes — starter credits	Yes	Yes

What is GPT Image 2?

GPT Image 2 (ChatGPT Images 2.0) is OpenAI's state-of-the-art image generation model, launched April 21, 2026. It replaces DALL-E 2 and DALL-E 3, which retire on May 12, 2026, becoming the default image model across ChatGPT and the OpenAI API. GPT Image 2's signature feature is reasoning before generation: the model thinks through the prompt — identifying ambiguities, planning element placement, flagging where the request might produce something inconsistent or off-brand — with the reasoning chain visible in the ChatGPT interface before the image appears. Other strengths: ~99% text accuracy in any language, 4K resolution support, broad style fluency (pixel art, manga, watercolor, oil, cyberpunk), and precise inpainting/outpainting via masks.

GPT Image 2 Key Features

Five capabilities that make GPT Image 2 the most precise AI image model.

~99% Text Accuracy

Dense text, small lettering, multilingual characters, complex layouts like infographics and marketing materials — GPT Image 2 hits ~99% accuracy in any language or script.

Reasoning Before Generation

Built-in reasoning before the image is drawn — the model identifies ambiguities, plans placement, flags potential off-brand outputs. The chain-of-thought is visible in the ChatGPT interface.

Visual Polyglot

Handles pixel art, manga, film stills, watercolor, oil painting, cyberpunk, and more — subtle stylistic instructions land precisely. Multi-object scenes hold without occlusion or misplacement.

Precise Inpainting / Outpainting

The editing endpoint supports mask-based region edits. Modify specific regions while unrelated pixels stay untouched — useful for product photo background swaps, packaging visualization, iterative asset refinement.

4K Resolution at Custom Dimensions

GPT Image 2 ships 4K resolution support with flexible custom dimensions. Generate rich, detailed, photorealistic images at the size you need.

How to Use GPT Image 2

From a blank canvas to a finished image in three steps.

Step 01
Pick your starting point
Type a prompt, or upload an image plus a mask for inpainting/outpainting. GPT Image 2 reasons through the brief before generating.
Step 02
Spell out text and style
Write any text you want rendered in quotes — GPT Image 2 hits ~99% accuracy in any language. Name the style (pixel art, manga, watercolor) and the model locks it.
Step 03
Pick aspect ratio & quality
Choose aspect ratio (1:1, 2:3, 3:2, 9:16, 16:9) and quality tier (Low / Medium / High). Higher quality = sharper detail, longer generation time.

Capabilities at a Glance

Reference inputs: Text · Image · Mask
Aspect ratios: 1:1 · 2:3 · 3:2 · 9:16 · 16:9
Resolution: Up to 4K (custom dimensions)
Quality tiers: Low · Medium · High
Languages: EN · ZH · JA · KO · HI · BN +
Strength: Text accuracy · reasoning · multilingual

GPT Image 2 Prompting Tips

GPT Image 2 reasons before drawing — the more specific you are, the less it has to guess. Best structure: subject + setting + text (in quotes) + style + composition. Example: "A neon-lit Tokyo street stall at night + sign reads 'らーめん札幌' in pink neon + cyberpunk illustration style + low-angle wide shot." For text accuracy, always quote the literal characters you want — the model targets ~99%. For inpainting, upload a mask plus a clear description of what should fill the masked region; unrelated pixels stay untouched. For multilingual content, write in the target script directly (Japanese, Korean, Chinese, Hindi, Bengali) — localization is built in.

Frequently Asked Questions

GPT Image 2 replaces DALL-E 2/3 (deprecating May 12, 2026) as OpenAI's default image model. It adds ~99% text accuracy in any language, built-in reasoning before generation with visible chain-of-thought, and 4K resolution support. Nano Banana 2 leads on multi-reference identity preservation; GPT Image 2 leads on text accuracy and reasoning.

Yes — ~99% accuracy in any language, including dense text, small lettering, and complex layouts like infographics. Write the literal text in quotes in your prompt.

English, Chinese, Japanese, Korean, Hindi, Bengali, and more. The model produces images and text that feel localized rather than transliterated.

Yes — the editing endpoint supports precise region edits via masks. Specific regions are modified while unrelated pixels remain untouched.

Up to 4K with custom dimensions. Quality tiers (Low / Medium / High) trade detail for cost and time.

Yes — every Zopia account gets starter credits to try GPT Image 2 with no commitment.

Yes. OpenAI permits commercial use of GPT Image 2 output. Avoid real-person likenesses and copyrighted IP — refer to the provider's terms.