openai/gpt-image-2.5-sunburst

gpt-image-2.5-sunburst
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Schema

[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.

$0.0053~$0.6390/img
text-to-image

Input

Image description, from 1 to 32,000 Unicode characters.
Output aspect ratio. Can be set independently of resolution; omitting it uses 1:1.
Background mode: auto lets the model choose, opaque requests an opaque background, and transparent requests a transparent background with PNG output.
Output quality level. Defaults to low.
Output resolution tier. Can be set independently of aspect_ratio; omitting it uses 1K. Pixel dimensions depend on both parameters: 1:1 + 1K gives 1024x1024, 1:1 + 4K gives 2880x2880, and 16:9 + 4K gives 3840x2160.

Result

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README

Attributes

Series

Collections

Parameters

Name Description Type Required Enums
prompt Image description, from 1 to 32,000 Unicode characters. string Yes -
aspect_ratio Output aspect ratio. Can be set independently of resolution; omitting it uses 1:1. string No 1:1, 3:2, 2:3, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9
background Background mode: auto lets the model choose, opaque requests an opaque background, and transparent requests a transparent background with PNG output. string No auto, opaque, transparent
quality Output quality level. Defaults to low. string No low, medium, high, xhigh, max
resolution Output resolution tier. Can be set independently of aspect_ratio; omitting it uses 1K. Pixel dimensions depend on both parameters: 1:1 + 1K gives 1024x1024, 1:1 + 4K gives 2880x2880, and 16:9 + 4K gives 3840x2160. string No 1K, 2K, 4K

Pricing

Unit: $/img

Dimension Pricing
quality: low / resolution: 1K 0.0053
quality: low / resolution: 2K 0.0107
quality: low / resolution: 4K 0.0178
quality: medium / resolution: 1K 0.0124
quality: medium / resolution: 2K 0.0241
quality: medium / resolution: 4K 0.0401
quality: high / resolution: 1K 0.0474
quality: high / resolution: 2K 0.0963
quality: high / resolution: 4K 0.1601
quality: xhigh / resolution: 1K 0.0843
quality: xhigh / resolution: 2K 0.1710
quality: xhigh / resolution: 4K 0.2847
quality: max / resolution: 1K 0.1890
quality: max / resolution: 2K 0.3854
quality: max / resolution: 4K 0.6390
  • openai/gpt-image-2: [Core Function] GPT Image 2 is a state-of-the-art text-to-image generation model. [Strengths] It excels at generating highly detailed, photorealistic images from text descriptions, with native support for ultra-high resolutions including 2K and 4K (up to 3840x2160). [Best For] Highly recommended for: cinematic landscapes, detailed character portraits, high-end commercial concept art, and any scenario requiring maximum resolution and visual fidelity. [Limitations] Do NOT use this model if you need a transparent background (e.g., for icons or UI assets), as it does not support the background: transparent parameter. [Routing] Use this model by default for all high-quality image generation requests. If the user explicitly asks for an image with a transparent background, route to GPT Image 1.5 instead.
  • 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-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.
  • alibaba/wan2.7-image-pro: [Core Function] Wan 2.7 Image Pro is Alibaba’s flagship reasoning-enhanced image generation model. [Strengths] It features built-in chain-of-thought reasoning (Thinking Mode), exceptional prompt accuracy, native 12-language text rendering, and generates ultra-high-resolution 4K images. [Best For] Highly recommended for: print-ready large-format posters, complex logical prompts, and generating images containing specific text/typography. [Limitations] Do NOT use this model if you need to generate batch images rapidly (use Wan 2.7 Image instead) or if you specifically need negative prompts (use Qwen Image 2.0 Pro). [Routing] Use this model by default for high-end, 4K, or text-heavy image generation tasks.

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