What GPT Image 2 Does
GPT Image 2 is a state-of-the-art text-to-image generation model that turns text prompts into detailed, photorealistic images. It natively supports ultra-high resolution output up to 4K, making it a strong default choice whenever you need high-quality, true-to-life visuals.
Key Features
- Photorealistic Quality: Excels at producing detailed, lifelike images with accurate textures, lighting, and composition.
- Native 4K Resolution: Supports ultra-high resolution output up to 3840x2160 (and 2160x3840) without external upscaling.
- Flexible Sizes & Orientations: Offers square, landscape, and portrait sizes from 1024x1024 up to 2048x2048 and 4K formats.
- Selectable Quality Tiers: Choose
lowfor fast drafts,mediumfor balance, orhighfor best fidelity. - Long, Detailed Prompts: Accepts prompts up to 32,000 characters for richly specified scenes.
- Asynchronous Architecture: Uses a “Create Task → Poll Result” API workflow for reliable, scalable generation.
How to Use GPT Image 2
- Write a detailed text prompt describing the subject, style, lighting, and composition you want.
- Submit a
POSTrequest to the/api/v1/openai/gpt-image-2endpoint with yourpromptand optionalsizeandqualityparameters. - Receive a
task_idwith a “pending” or “processing” status in the response. - Poll
GET /api/v1/tasks/{task_id}to monitor progress. - Once the task succeeds, retrieve and download the generated image.
Best Use Cases
- Photorealistic Marketing Visuals: Create high-fidelity product, lifestyle, and campaign imagery.
- Editorial & Concept Art: Generate detailed scenes and illustrations at print-ready 4K resolution.
- Hero & Banner Imagery: Produce large-format visuals for websites and ads without upscaling artifacts.
- Design Mockups: Visualize realistic environments, packaging, and scenes for client presentations.
Tips for Better Results
- Don’t Use It for Transparent Backgrounds: GPT Image 2 has no
background: transparentsupport — for icons or UI assets, route to GPT Image 1.5 instead. - Draft Low, Finalize High: Iterate with
quality: lowfor speed, then re-run your best prompt atquality: high. - Match Size to Output: Pick a
sizethat fits the final placement (e.g., 1536x1024 landscape, 1024x1536 portrait, 3840x2160 for 4K). - Be Specific About Realism: Describe lighting, materials, camera lens, and mood to maximize photorealistic fidelity.
- Use the Long Prompt Window: Take advantage of the large character limit to fully specify complex scenes rather than leaving details to chance.
Parameters
| Name | Description | Type | Required | Enums |
|---|---|---|---|---|
| prompt | Image description text, supports up to 32,000 characters | string | Yes | - |
| quality | Image quality level. ‘low’: fast draft (default), ‘medium’: balanced, ‘high’: best quality | string | No | low, medium, high |
| size | Output size as width x height, or ‘auto’ for model-selected size. Presets are valid under OpenAI constraints (total pixels 655360-8294400, edges multiples of 16). Mapping: 1:1 1K/2K; 3:2 1K/2K; 2:3 1K/2K; 4:3 1K/2K; 3:4 1K/2K; 16:9 2K/4K; 9:16 2K/4K. No 1K for 16:9/9:16; no 4K for non-widescreen ratios. | string | No | auto, 1024x1024, 2048x2048, 1536x1024, 3072x2048, 1024x1536, 2048x3072, 1024x768, 2048x1536, 768x1024, 1536x2048, 2048x1152, 3840x2160, 1152x2048, 2160x3840 |
Pricing
Unit: $/img
| Dimension | Pricing |
|---|---|
| quality: low / size: auto | 0.0092 |
| quality: medium / size: auto | 0.0805 |
| quality: high / size: auto | 0.3105 |
| quality: low / size: 1024x1024 | 0.0059 |
| quality: medium / size: 1024x1024 | 0.0489 |
| quality: high / size: 1024x1024 | 0.1943 |
| quality: low / size: 2048x2048 | 0.0114 |
| quality: medium / size: 2048x2048 | 0.0989 |
| quality: high / size: 2048x2048 | 0.3943 |
| quality: low / size: 1536x1024 | 0.0048 |
| quality: medium / size: 1536x1024 | 0.0383 |
| quality: high / size: 1536x1024 | 0.1519 |
| quality: low / size: 3072x2048 | 0.0106 |
| quality: medium / size: 3072x2048 | 0.0883 |
| quality: high / size: 3072x2048 | 0.3520 |
| quality: low / size: 1024x1536 | 0.0048 |
| quality: medium / size: 1024x1536 | 0.0383 |
| quality: high / size: 1024x1536 | 0.1519 |
| quality: low / size: 2048x3072 | 0.0106 |
| quality: medium / size: 2048x3072 | 0.0883 |
| quality: high / size: 2048x3072 | 0.3520 |
| quality: low / size: 1024x768 | 0.0041 |
| quality: medium / size: 1024x768 | 0.0337 |
| quality: high / size: 1024x768 | 0.1334 |
| quality: low / size: 2048x1536 | 0.0072 |
| quality: medium / size: 2048x1536 | 0.0619 |
| quality: high / size: 2048x1536 | 0.2459 |
| quality: low / size: 768x1024 | 0.0041 |
| quality: medium / size: 768x1024 | 0.0337 |
| quality: high / size: 768x1024 | 0.1334 |
| quality: low / size: 1536x2048 | 0.0072 |
| quality: medium / size: 1536x2048 | 0.0619 |
| quality: high / size: 1536x2048 | 0.2459 |
| quality: low / size: 2048x1152 | 0.0048 |
| quality: medium / size: 2048x1152 | 0.0394 |
| quality: high / size: 2048x1152 | 0.1564 |
| quality: low / size: 3840x2160 | 0.0107 |
| quality: medium / size: 3840x2160 | 0.0926 |
| quality: high / size: 3840x2160 | 0.3687 |
| quality: low / size: 1152x2048 | 0.0048 |
| quality: medium / size: 1152x2048 | 0.0394 |
| quality: high / size: 1152x2048 | 0.1564 |
| quality: low / size: 2160x3840 | 0.0107 |
| quality: medium / size: 2160x3840 | 0.0926 |
| quality: high / size: 2160x3840 | 0.3687 |
Related Models
- openai/gpt-image-1.5: [Core Function] GPT Image 1.5 is a versatile text-to-image generation model. [Strengths] It balances solid visual performance with crucial utility features, notably its native support for generating images with transparent backgrounds. [Best For] Highly recommended for: creating UI icons, standalone logos, game assets, and any graphic design elements that require a transparent background. [Limitations] Do NOT use this model if you need 2K or 4K resolution. Its maximum supported resolution is 1536x1024. [Routing] Choose this model specifically when the user asks for ‘transparent background’, ‘no background’, or ‘PNG icon’. For standard, high-fidelity, or 4K image generation, use GPT Image 2 instead.
- openai/gpt-image-1.5-edit: [Core Function] GPT Image 1.5 Edit is a versatile image-to-image editing and merging model. [Strengths] It excels at complex utility editing tasks, including multi-image merging (up to 16 images), transparent background support, and precise control over how strictly the model adheres to the input image (fidelity control). [Best For] Highly recommended for: merging reference images, editing UI assets, generating variations with strict shape preservation, and creating transparent cutouts. [Limitations] Do NOT use this model if you require 2K or 4K high-resolution outputs, as it is limited to standard resolutions. [Routing] Use this model specifically when the user provides multiple images to combine, requires transparency, or explicitly asks to ‘keep the exact shape’ of the original image (fidelity control). Otherwise, use GPT Image 2 Edit.
- openai/gpt-image-2-edit: [Core Function] GPT Image 2 Edit is a high-resolution image-to-image editing model. [Strengths] It excels at making high-fidelity edits and style transformations to a single source image based on a text prompt, preserving details at up to 4K resolutions. [Best For] Highly recommended for: professional photo retouching, upscaling style transfers, and modifying high-resolution concept art. [Limitations] Do NOT use this model for multi-image merging (it only accepts one input image). Do NOT use if you need precise input fidelity control or transparent backgrounds. [Routing] Use this model by default when the user wants to edit a single image and prioritize output resolution/quality. If they need to merge multiple images or control the strictness of the edit (fidelity), use GPT Image 1.5 Edit.
- google/nano-banana-2: [Core Function] Nano Banana 2 (Gemini 3.1 Flash Image) is an extremely fast text-to-image model. [Strengths] It is optimized for high-speed, high-volume visual generation, creative prompting, and rapid stylistic experimentation. [Best For] Highly recommended for: rapid creative iteration, generating large batches of images quickly, and artistic/stylized graphics. [Limitations] Do NOT use this model if you require strict, high-end photorealism (use the Imagen 4 series instead). [Routing] Route to this model for ‘fast’, ‘creative’, or ‘stylized’ high-volume requests.
- google/nano-banana-pro: [Core Function] Nano Banana Pro (Gemini 3 Pro Image) is a high-capability creative image model. [Strengths] It balances the creative flexibility and speed of the Nano series with higher fidelity output. [Best For] Highly recommended for: high-quality stylized art and complex creative compositions. [Limitations] Do NOT use for absolute photorealism (use Imagen 4). [Routing] Use this model for high-quality, creative, non-photorealistic requests.
- kling/kling-v3-t2i: [Core Function] Kling V3 T2I is the flagship text-to-image generation model. [Strengths] It delivers state-of-the-art aesthetic quality, high-resolution outputs (up to 2K), and exceptional prompt adherence. [Best For] Highly recommended for: professional concept art, photorealistic portraits, and high-fidelity image generation. [Limitations] Do NOT use this model if you need to strictly reference or edit an existing image. [Routing] Use this as the default model for all text-to-image requests on the Kling platform.
- bytedance/seedream-4.5-t2i: [Core Function] Seedream 4.5 T2I is a high-fidelity visual creation model. [Strengths] It provides all-round improvements in consistency, aesthetics, and photorealism, supporting high-definition outputs up to 4K resolution. [Best For] Highly recommended for: professional visual creatives, photorealistic artwork, and high-res commercial graphics. [Limitations] It lacks the real-time web search and advanced reasoning capabilities of the 5.0 Lite model. [Routing] Use this model when the priority is absolute visual fidelity, resolution (4K), and consistency without the need for real-time search.
- xai/grok-imagine-image-quality: [Core Function] Grok Imagine Image (Quality) is xAI’s high-fidelity text-to-image generation model. [Strengths] It excels at producing richly detailed, high-quality images from a text prompt, with flexible aspect ratios and an optional 2K resolution. [Best For] Highly recommended for: detailed concept art, marketing visuals, and any scenario where image quality is prioritized over generation speed. [Limitations] Do NOT use this model when latency is critical, as generation is slower than the standard model. [Routing] Use this model by default when the user emphasizes quality or detail. For faster, lighter generation use Grok Imagine Image (standard).
- microsoft/mai-image-2.5: [Core Function] MAI Image 2.5 is Microsoft’s flagship text-to-image generation model. [Strengths] It excels at producing high-quality, detailed images from a text prompt with precise control over output dimensions. [Best For] Highly recommended for: concept art, marketing visuals, and high-fidelity image generation. [Limitations] Do NOT request dimensions below 768 on any side or a width x height product above 1,048,576 pixels (e.g. beyond 1024x1024); output is always PNG. [Routing] Use this model by default for quality-sensitive generation. For faster, cheaper generation, route to MAI Image 2.5 Flash.
- google/imagen-4.0-generate-001: [Core Function] Imagen 4.0 is Google’s flagship professional-grade text-to-image model designed for high-fidelity visual generation. [Strengths] It excels at industry-leading photorealism, exceptional typography/text rendering inside images, and strong prompt adherence, supporting up to 2K resolution and batch generation. [Best For] Highly recommended for general high-quality image generation, marketing assets (posters, product labels, menus, signage), and product photography mockups where readable text is required. [Limitations] Do NOT use this model if you need instant/real-time generation, native image editing (inpainting/outpainting), or negative prompts. It is strictly an image-only output model. [Routing] Use this model by default for high-quality, photorealistic text-to-image requests. If the user emphasizes speed or needs lower cost, route to Imagen 4.0 Fast. If the user demands the absolute highest detail and prompt precision, route to Imagen 4.0 Ultra.
- google/imagen-4.0-ultra-generate-001: [Core Function] Imagen 4.0 Ultra is Google’s premium text-to-image model optimized for the highest quality and instruction alignment. [Strengths] It delivers ultimate photorealistic detail, superior texture rendering, and extremely strict adherence to complex, multi-part prompt instructions, supporting up to 2K resolution. [Best For] Highly recommended for high-end commercial marketing assets, professional design, intricate artistic compositions, and scenarios where precise instruction-following is paramount. [Limitations] Do NOT use this model if you need instant/real-time generation, native image editing (inpainting/outpainting), or negative prompts. It is the most expensive tier in the Imagen family. [Routing] Choose this model when the user demands the absolute highest quality, ultimate detail, or has highly complex prompt instructions. Otherwise, default to standard Imagen 4.0 or Imagen 4.0 Fast.
- bytedance/seedream-5.0-lite: [Core Function] Seedream 5.0 Lite is a smart, reasoning-enhanced image generation model with real-time web search capabilities. [Strengths] It excels at generating time-sensitive imagery, infographics, and content requiring deep world knowledge or online search, boasting superior prompt understanding and reasoning. [Best For] Highly recommended for: current-event posters, text-heavy designs, and concept art requiring complex logical reasoning. [Limitations] As a ‘Lite’ model, its absolute photorealistic aesthetic ceiling might be slightly lower than the specialized 4.5 model. [Routing] Use this model by default when the user needs real-time information, deep reasoning, or complex intent understanding in their image.
- alibaba/qwen-image-2.0-pro: [Core Function] Qwen Image 2.0 Pro is a professional-grade, highly controllable image generation model. [Strengths] It provides exquisite photorealism, professional infographics generation, supports NEGATIVE prompts, and can generate up to 6 image variants per API call. [Best For] Highly recommended for: workflows requiring strict negative prompt exclusion, batch generation (6 variants), and highly detailed infographics. [Limitations] Does not natively output 4K resolution (max is 2K). Does not have the explicit ‘Thinking Mode’ of Wan 2.7. [Routing] Route to this model specifically when the user provides a ‘negative prompt’ or asks for ‘batch generation of 6 images’.



