


The GPT Image 2 API gives developers access to OpenAI's latest image model, the successor to GPT Image 1.5. It generates and edits images with accurate text rendering across Latin and CJK scripts, plus strong composition for posters, mockups, and infographics. On Atlas Cloud you reach it through one unified API alongside 300+ models, with free credits, 99.99% uptime, and no OpenAI organization verification required.
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Compare the GPT Image 2 API endpoints across the family, with text to image and editing for GPT Image 2, 1.5, 1, and Mini, so you can match cost and quality to each job through one integration.
| Modality | Description |
|---|---|
| GPT Image-1 T2I API(Text to Image) | The GPT Image-1 Text to Image API empowers developers to transform text prompts into stunning, photorealistic visuals with exceptional detail. By combining GPT-4 Turbo's reasoning with DALL·E-class visual synthesis, it delivers industry-leading prompt adherence and complex composition capabilities for professional-grade image production. |
| GPT Image-1 Edit API(Image to Image) | The GPT Image-1 Edit API empowers developers to transform existing images into refined or reimagined masterpieces with seamless consistency. By utilizing multimodal understanding, it generates precise stylistic transfers, contextual compositions, and targeted modifications for professional-grade asset iteration. |
| GPT Image-1.5 T2I API(Text to Image) | The GPT Image-1.5 Text to Image API empowers developers to transform text prompts into high-quality visuals at optimized cost. By leveraging GPT-powered architecture, it delivers strong prompt understanding and visual fidelity for balanced production workflows. |
| GPT Image-1.5 Edit API(Image to Image) | The GPT Image-1.5 Edit API empowers developers to refine existing assets with precise modifications. By supporting input_fidelity control, it enables fine-tuned adjustments while preserving essential elements like faces and logos. |
| GPT Image-1 Mini T2I API(Text to Image) | The GPT Image-1 Mini Text to Image API empowers developers with the most cost-efficient image generation in the family. By leveraging GPT-5 architecture, it delivers professional-grade results at the lowest cost-per-image for high-volume content production. |
| GPT Image-1 Mini Edit API(Image to Image) | The GPT Image-1 Mini Edit API empowers developers to transform existing images with streamlined editing capabilities. By providing essential editing functions at minimal cost, it enables rapid iteration and content production workflows. |
Explore what the GPT Image 2 API can do, from accurate in-image text across Latin and CJK scripts to photorealistic rendering, mask-based editing, and multi-reference compositing.

GPT Image 2 delivers photorealistic results across marketing graphics, product visuals, social content, and mockups, where accuracy matters as much as visual quality. It shows real understanding of physics, lighting, and material properties, with neutral, accurate color across scene types.

GPT Image 2 renders correctly spelled, naturally placed text inside images, from signage and UI labels to posters. It reliably produces marketing graphics, ad creatives, and email headers with accurate text at scale.

GPT Image 2 handles complex multi-object scenes without the occlusion and placement errors of earlier models. It follows long, multi-part prompts while preserving composition, lighting, and fine detail.

GPT Image 2 maintains consistent character identity, props, and lighting across multiple generations. This subject consistency holds across multi-element compositions, making it dependable for variant sets and series work.

GPT Image 2 renders CJK characters with accurate glyphs and clear strokes, a clear improvement over earlier models' weakness with non-Latin scripts. It supports strong text rendering across both Latin and CJK languages.

The Edit API supports precise inpainting and outpainting through mask images, so you can modify specific regions while every unrelated pixel stays untouched. This makes the GPT Image 2 API reliable for retouching, object removal, and controlled composition cleanup.

The GPT Image 2 API can combine several input images into one coherent result, guided by a natural language prompt. This supports product placement, style transfer, and consistent characters across a set of generated visuals.

GPT Image 2 generates UI mockups and app interfaces with correctly spelled button text and clean layout structure. It suits rapid concept screens and design previews where readable on-screen text matters.

The GPT Image 2 API follows long and multi-part prompts with reliable instruction following, preserving composition, lighting choices, and fine details. The result is fewer retries and dependable output for production workflows.
Create a Japanese-language infographic titled "うちの部署のメンバー スペック分析" (Our Department Member Spec Analysis) with subtitle "個性豊かなプロ集団(たぶん)". Layout as a 2x3 grid of six member cards on a clean white background with pastel accents and star decorations. Each card features a cute chibi-style cartoon avatar and includes: member name and role in Japanese, a radar chart or bar chart showing their stats, bullet-point strengths and weaknesses in Japanese. Add a summary section at the bottom with overall team evaluation, a team compatibility graph placeholder, and a final takeaway note. Cheerful office illustration style, soft rounded UI elements, kawaii aesthetic, highly legible Japanese typography, no watermark.

GPT Image 2

Grok Imagine

Nano Banana 2
From ad creatives and product visuals to UI mockups, localized content, and editorial infographics, see what the GPT Image 2 API can build.
GPT Image 2 is expected to be particularly strong for marketing automation — generating social media graphics, ad creatives, and email headers with accurate text, at scale. MindStudio Combined with near-perfect prompt adherence and improved photorealism, it targets production-ready campaign assets without photoshoots.
GPT Image 2 is being discussed heavily in the context of product visuals and social content where accuracy matters as much as visual quality. Dreamina The character consistency and image preservation improvements make it well-suited for scaling product catalogs, generating lifestyle imagery, and producing consistent variant sets.
UI mockups and app interfaces — with correctly spelled button text and clean layout structure — are among the use cases early testers specifically highlighted. Dzine Product teams and designers can use GPT Image 2 for rapid concept mockups, landing page visuals, and presentation assets.
Architectural and interior renders with improved depth and material realism are among the expected strong suits of GPT Image 2. Dzine The photorealism and composition improvements make it a practical tool for design presentations and property marketing.
The GPT Image 2 API renders accurate text in Chinese, Japanese, Korean, and other scripts, so you can produce signage, social posts, and branded materials that once required manual text overlay. This makes it practical to localize campaigns and build region-specific visuals at scale.
The GPT Image 2 API produces book covers, illustrated articles, infographics, and educational visuals where readable in-image text is a hard requirement. With accurate typography and structured generation for charts, diagrams, and explainers, it turns complex information into clear, shareable graphics.
See how models from different providers stack up — compare performance, pricing, and unique strengths to make an informed decision.
| Model | Reference Image Limit | Output Num | Resolution | Aspect Ratio |
|---|---|---|---|---|
| GPT Image-2 | 16 | 1-10 | Up to 2048×2048 (2K) native;4K via scaling | 1:1, 2:3, 3:2 |
| GPT Image-1.5 | 10 | 1 | 1024×1024, 1024×1536, 1536×1024 | 1:1, 3:2, 2:3 |
| GPT Image-1 | 4 | 1~10 | 1024×1024, 1024×1536, 1536×1024 | 1:1, 3:2, 2:3 |
| GPT Image-1 Mini | 4 | 1~10 | 1024×1024, 1024×1536, 1536×1024 | 1:1, 3:2, 2:3 |
| Nano Banana 2 | 14 | 1 | 512×512, 1024×1024, 2048×2048, 4096×4096 (0.5K/1K/2K/4K) | 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9, 1:4, 4:1, 1:8, 8:1 |
| Grok Imagine | 1 | 1-10 | 1024×1024 (1K), 2048×2048 (2K) | 1:1, 3:2, 2:3, 16:9, 9:16 |
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Combining the advanced GPT Image 2 models with Atlas Cloud's GPU-accelerated platform provides unmatched performance, scalability, and developer experience.
Low Latency:
GPU-optimized inference for real-time reasoning.
Unified API:
Run GPT Image 2, GPT, Gemini, and DeepSeek with one integration.
Transparent Pricing:
Predictable per-token billing with serverless options.
Developer Experience:
SDKs, analytics, fine-tuning tools, and templates.
Reliability:
99.99% uptime, RBAC, and compliance-ready logging.
Security & Compliance:
SOC 2 Type II, HIPAA alignment, data sovereignty in US.
The GPT Image 2 API gives developers programmatic access to OpenAI's GPT Image 2, the image model released in April 2026 as the successor to GPT Image 1.5 and the replacement for DALL-E 3. It generates and edits images from text and image inputs, with accurate in-image text, multilingual support, and strong photorealism. On Atlas Cloud you call it through one unified API alongside 300+ other models.
Yes. The GPT Image 2 API supports both text to image generation and image editing in a single model. Editing includes precise inpainting and outpainting with mask images, plus multi-reference compositing that combines several inputs into one coherent result.
No. GPT Image 2 is the successor to GPT Image 1.5, not DALL-E. OpenAI has moved away from the DALL-E branding entirely — both DALL-E 2 and DALL-E 3 are being shut down on May 12, 2026. The GPT Image family uses an autoregressive architecture built natively inside the language model, which is fundamentally different from the diffusion-based approach DALL-E used.
Yes. The GPT Image 2 API supports both text to image generation and image editing in a single model. Editing includes precise inpainting and outpainting with mask images, plus multi-reference compositing that combines several inputs into one coherent result.
Yes. The GPT Image 2 API renders text across Latin and CJK(Chinese, Japanese, Korean) scripts, including Chinese, Japanese, and Korean, with accurate glyphs and clear strokes. This lets you produce localized signage, social posts, and branded materials that previously required manual text overlay.
The GPT Image 2 API supports flexible image sizes and aspect ratios, with output up to 2K resolution natively and 4K available through scaling. You can request preset sizes or custom dimensions to fit social posts, banners, and print-ready assets.
No. OpenAI gates the GPT Image family behind organization verification in its own developer console, which can block individual developers. With the GPT Image 2 API on Atlas Cloud you only need an Atlas Cloud account, so you can get a key and start generating without OpenAI verification.
OpenAI bills GPT Image 2 by token, so per-image cost shifts with resolution, quality, and reference images and is hard to predict. On Atlas Cloud the GPT Image 2 API uses flat per-image pricing: text to image starts at $0.009 per image and editing at $0.01 per image, dropping to $0.004 and $0.005 on the developer tier. New users also get free credits to test before they spend.
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