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IMAGE MODELby OpenAIgpt-image-2

ChatGPT Image 2

OpenAI’s most advanced image model — powered by GPT-5.4. Near-perfect text rendering in any language, reasoning-driven generation, and consistent multi-image output across a single prompt. The benchmark leader for complex, knowledge-grounded, and multilingual visual work.

Resolutions
Up to 4K
Text rendering
99%+ accuracy, multilingual
Input refs
Up to 10 images
Released
April 2026

What makes ChatGPT Image 2 different

ChatGPT Image 2 is OpenAI’s first image model built on GPT-5.4 — their most capable reasoning architecture. Unlike previous image models, gpt-image-2 actively thinks before generating: it plans composition, resolves spatial relationships, and interprets multi-part instructions before a single pixel is produced. The result is near-perfect in-image text accuracy (99%+) across dozens of languages including Chinese, Japanese, Korean, Hindi, and Bengali, comprehensive prompt fidelity for complex multi-element scenes, and character consistency across batches of up to 10 images. It ranks #1 on all Image Arena leaderboards with a +242 point lead at launch.
Magazine cover generated by ChatGPT Image 2Comic strip generated by ChatGPT Image 2Landing page mockup generated by ChatGPT Image 2

Capabilities

Near-perfect text rendering

99%+ accuracy for in-image text including multilingual scripts — CJK (Chinese, Japanese, Korean), Indic (Hindi, Bengali), and more. The strongest model for infographics, posters, and text-heavy layouts.

Reasoning-driven generation

Powered by GPT-5.4’s reasoning capabilities. The model plans composition, resolves spatial relationships, and interprets complex multi-element prompts before generating — yielding higher instruction fidelity than any prior model.

Character consistency across batches

Generates up to 10 images per prompt while maintaining consistent facial features, clothing, expressions, and visual identity across different scenes and poses.

World-knowledge grounding

GPT-5.4’s knowledge base enables accurate rendering of logos, national flags, landmarks, scientific diagrams, and UI mockups that other models typically misrepresent.

Natural language editing

Describe changes in plain English — the model applies them without requiring manual mask drawing. Also supports mask-based inpainting and outpainting for precise region-level control.

Multi-reference compositing

Accepts up to 10 reference images for editing — combine subjects, backgrounds, products, and styles in a single generation with accurate spatial and stylistic coherence.
Script generated by ChatGPT Image 2Field notebook generated by ChatGPT Image 2Scientific report generated by ChatGPT Image 2

Specifications

FeatureDetails
Model API namegpt-image-2
Max resolutionUp to 4K
Aspect ratios1:1, 3:4, 4:3, 9:16, 16:9, 3:2, 21:9
Quality tiersLow, Medium, High
Output formatsPNG, JPEG, WebP
Transparent backgroundNo
Max reference images10 (for editing workflows)
ArchitectureNative GPT-5.4 multimodal
ReleasedApril 21, 2026

How to use

1

Open the AI Image Generator

Go to the ImagineArt AI Image Generator.
2

Select the model

From the model dropdown, choose ChatGPT Image 2.
3

Write your prompt

Write a detailed, structured prompt. ChatGPT Image 2 excels at multi-element instructions — describe text content, spatial relationships, style, and real-world references explicitly.
4

Upload references (optional)

Upload up to 10 reference images for compositing, style guidance, or character consistency.
5

Generate and iterate

Generate your image. Use follow-up prompts to refine specific elements — the model maintains composition intent and subject identity across iterative edits.

Prompting tips

  • Name text content explicitly — Include exact wording, language, font style, and placement. Example: “A poster with the Japanese title ‘春の祭り’ in bold brushstroke style at the top.”
  • Use it for knowledge-dependent visuals — Prompts referencing specific brands, flags, scientific concepts, or real-world diagrams produce accurate results that other models get wrong.
  • Leverage reasoning for complex scenes — Describe spatial relationships, layering, and composition constraints directly: “Three-column infographic: icons left, data center, footnotes right.”
  • For editing, specify what to preserve“Change the background to a night city skyline but keep the subject’s lighting, pose, and outfit exactly as-is.”
  • Multi-image consistency — To generate scene variations, describe all scenes in a single prompt. The model will maintain visual identity across all outputs.

Example prompts

A bilingual product packaging label for “Alpine Spring Water” — English headline at top, Japanese subtitle 天然湧水 below, mountain waterfall illustration, clean minimal design, blue and white palette.
A six-panel manga page: a samurai confronts a dragon in a bamboo forest. Consistent character design, bold linework, speech bubbles with legible Japanese text, dramatic panel transitions.
A scientific infographic illustrating CRISPR gene editing — labeled molecular diagrams, step-by-step breakdown, clean white background, accurate scientific notation, sans-serif type throughout.
A social media post for a coffee shop grand opening: warm amber tones, latte art, bold text reading “Now Open — Shibuya, Tokyo” in English and Japanese, minimal modern layout.

Compare models

ModelText renderingSpeedWorld knowledgeBest for
ChatGPT Image 299%+, multilingualFastestYes (GPT-5.4)Multilingual text, complex reasoning, character consistency
ChatGPT Image 1.5Superior (dense + small)Fast (4× v1)Excellent (GPT-4o)Fast knowledge-grounded infographics
ChatGPT ImageBest-in-classUp to 2 minExcellent (GPT-4o)Complex multi-reference compositing
Ideogram v3~90–95%Flash to QualityLimitedTypography, posters, brand design
ChatGPT Image 2 does not support transparent background output. For images requiring a transparent PNG or WebP with alpha channel, use ChatGPT Image or ChatGPT Image 1.5.