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.
属性
シリーズ
コレクション
パラメーター
| 名前 | 説明 | 型 | 必須 | 列挙値 |
|---|---|---|---|---|
| prompt | Image description text, supports up to 32,000 characters | string | はい | - |
| quality | Image quality level. ‘low’: fast draft (default), ‘medium’: balanced, ‘high’: best quality | string | いいえ | 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 | いいえ | auto, 1024x1024, 2048x2048, 1536x1024, 3072x2048, 1024x1536, 2048x3072, 1024x768, 2048x1536, 768x1024, 1536x2048, 2048x1152, 3840x2160, 1152x2048, 2160x3840 |
料金
単位: $/img
| 条件 | 料金 |
|---|---|
| quality: low | 0.0054 |
| quality: medium | 0.0477 |
| quality: high | 0.1899 |
関連モデル
- 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.
- openai/gpt-image-2.5-flare: [Core Function] GPT Image 2.5 Flare is a speed-oriented text-to-image generation model. [Strengths] Supports ten aspect ratios, resolution tiers up to 4K, and transparent backgrounds. [Best For] Landscape illustrations, product posters, and transparent icons. [Limitations] Do NOT use this for editing an existing image or selecting arbitrary pixel dimensions. [Routing] Choose this variant when speed is the priority; use GPT Image 2.5 Sunburst when image quality is the priority. Use GPT Image 2.5 Flare Edit when input images are required.
- openai/gpt-image-2.5-sunburst: [Core Function] GPT Image 2.5 Sunburst is a quality-oriented text-to-image generation model. [Strengths] Supports ten aspect ratios, resolution tiers up to 4K, and transparent backgrounds. [Best For] Landscape illustrations, product posters, and transparent icons. [Limitations] Do NOT use this for editing an existing image or selecting arbitrary pixel dimensions. [Routing] Choose this variant when image quality is the priority; use GPT Image 2.5 Flare when speed is the priority. Use GPT Image 2.5 Sunburst Edit when input images are required.
- openai/gpt-image-2.5-flare-edit: [Core Function] GPT Image 2.5 Flare Edit is a speed-oriented image editing model. [Strengths] Supports up to 16 input images, optional mask-based local edits, resolution tiers up to 4K, and transparent backgrounds. [Best For] Product image changes, masked object replacements, and edits guided by multiple reference images. [Limitations] Do NOT use this for editing more than 16 input images or selecting arbitrary pixel dimensions. Exact input fidelity control is not exposed. [Routing] Choose this variant when speed is the priority; use GPT Image 2.5 Sunburst Edit when image quality is the priority.
- openai/gpt-image-2.5-sunburst-edit: [Core Function] GPT Image 2.5 Sunburst Edit is a quality-oriented image editing model. [Strengths] Supports up to 16 input images, optional mask-based local edits, resolution tiers up to 4K, and transparent backgrounds. [Best For] Product image changes, masked object replacements, and edits guided by multiple reference images. [Limitations] Do NOT use this for editing more than 16 input images or selecting arbitrary pixel dimensions. Exact input fidelity control is not exposed. [Routing] Choose this variant when image quality is the priority; use GPT Image 2.5 Flare Edit when speed is the priority.
- 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; prefer Nano Banana Pro for higher-fidelity creative output. [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 this model when you need the absolute highest photorealism or detail; step up within the Nano Banana family (Nano Banana 2 or Nano Banana Pro Edit workflows) as needed. [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 model (POST /images/generations, model_name=kling-v3). [Strengths] High aesthetic quality, prompt adherence, 1K/2K. [Best For] Concept art and photorealistic generation without a reference image. [Limitations] No reference image; for I2I use kling-v3-i2i; for multi-image/series use kling-v3-omni-image. [Routing] Default for Kling text-to-image.
- 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.
- bytedance/seedream-5.0-pro: [Core Function] Seedream 5.0 Pro is ByteDance’s flagship professional-grade Text-to-Image (T2I) generation model. [Strengths] It delivers top-tier image quality with enhanced precision control over positions and elements, superior prompt adherence, and improved generation consistency for professional scenarios. [Best For] Highly recommended for: professional design assets, high-fidelity photorealistic imagery, precisely controlled compositions, and brand or commercial visuals where quality matters most. [Limitations] Do NOT use this model for batch image generation or streaming output; it generates exactly one image per request and supports up to 2K resolution (no 3K/4K). [Routing] Choose this Pro model when the user emphasizes ultimate quality or precision. Choose Seedream 5.0 Lite when real-time web knowledge, batch generation, or 3K resolution is needed. To edit an existing image use Seedream 5.0 Pro Edit; to blend multiple reference images use Seedream 5.0 Pro Multi-Reference.
- alibaba/qwen-image-3.0-pro: [Core Function] Qwen Image 3.0 Pro is Alibaba’s latest text-to-image model with strong prompt following and photorealism. [Strengths] It supports free-form output size (widthheight), optional negative prompts, intelligent prompt rewrite, batch generation of 1-6 images, and long structured prompts for complex layouts. [Best For] Highly recommended for: photorealistic stills, marketing posters with readable text, detailed scene compositions, multi-panel layouts, product hero shots, and multi-variant creative exploration (n up to 6). [Limitations] Do NOT use this if the user needs native 4K output, thinking-mode reasoning, or image editing with reference images (use Qwen Image 3.0 Pro Edit for edits). Keep total pixels within 512512 to 2048*2048. Very long prompts combined with a long negative_prompt may exceed the model input capacity (about 4.5k tokens total). [Routing] Prefer this over Qwen Image 2.0 Pro for new Qwen Image text-to-image work. If the user provides reference image(s) to edit, route to Qwen Image 3.0 Pro Edit instead.
- microsoft/mai-image-2.6: [Core Function] MAI Image 2.6 is Microsoft’s latest text-to-image generation model in the MAI Image family. [Strengths] It improves text rendering, portraits, 3D imagery, and commercial photorealistic output compared with MAI Image 2.5. [Best For] Highly recommended for: marketing visuals, product hero shots, portraits, and prompts that need accurate on-image text. [Limitations] Do NOT use this if the requested width or height is below 768, or if width x height exceeds 1,048,576 pixels. Output is always PNG. auto_aspect_ratio and web_grounding are optional booleans; omit them unless the caller sets them. [Routing] Use this model when the latest MAI quality is required. For lower latency or cost, route to MAI Image 2.6 Flash.
- microsoft/mai-image-2.6-flash: [Core Function] MAI Image 2.6 Flash is the faster, lower-cost variant of MAI Image 2.6 text-to-image generation. [Strengths] It targets similar quality to MAI Image 2.6 with lower latency for high-throughput workloads. [Best For] Highly recommended for: production pipelines, batch generation, and latency-sensitive image APIs. [Limitations] Do NOT use this if the requested width or height is below 768, or if width x height exceeds 1,048,576 pixels. Output is always PNG. auto_aspect_ratio and web_grounding are optional booleans; omit them unless the caller sets them. [Routing] Use this model when speed or cost matters more than maximum 2.6 quality. For the highest fidelity, route to MAI Image 2.6.
- 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.







