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21:9 电影宽幅 Hero:左侧柔光留白,右侧悬浮多层虹彩玻璃图像板与陶瓷光环,gpt-image-2.5 为发光立体字,冷蓝粉金多色渐变。作为 gpt-image-2.5-flare 详情页顶部横幅。

OpenAI

GPT Image 2.5

gpt-image-2.5-sunburst/text-to-image

OpenAI's two-tier image generation and editing models: Flare focuses on speed, Sunburst pursues precision, covering both text-to-image and multi-turn image refinement

Route

Try gpt-image-2.5-sunburst/text-to-image

Input

Output

image
Fill in the parameters and run — results show up here.

Pricing

gpt-image-2.5-sunburst/text-to-image per image

Specifications Unit Price
1K $0.050
2K $0.080
4K $0.120

Positioning Overview

gpt-image-2.5-sunburst/text-to-image is the text-to-image route of the OpenAI image model gpt-image-2.5, designed with a precision-first focus: it trades longer per-generation time for more refined detail reproduction. It accepts text prompts as input and outputs a single image, supporting three resolution tiers (1K, 2K, 4K) and a variety of aspect ratios. It is suited to creative and production workflows that demand high image detail and layout stability and can tolerate longer waits, such as brand visuals, e-commerce assets, and content illustrations.

Key Highlights

  • Precision-first variant positioning — trades longer per-generation time for detail fidelity, making it suited to image-generation tasks where visual quality comes first.
  • Choice of 1K to 4K resolution — output resolution is selectable in tiers and paired with 13 aspect ratios, so a single request can match different placement sizes.
  • Support for specified transparent backgrounds — at 1K resolution you can specify a transparent or solid-color background, reducing extra cutout and compositing steps in post-production.

Capabilities

Text-to-image with long prompts: prompts can be up to 20,000 characters, carrying fairly complete scene descriptions and layout requirements, which suits expressing complex visual intent.

Resolution and aspect ratio control: use resolution to choose 1K, 2K, or 4K, and aspect_ratio to specify ratios from 1:1 to 21:9, or let auto decide.

Transparent background output: the background parameter supports three modes — transparent, opaque, and auto — and is available only at 1K resolution; high-resolution generation must omit this parameter.

Detail and consistency performance: it is improved in lighting and material rendering, consistency of the referenced subject, and adherence to complex visual instructions, making it easier to maintain layout and subject when refining repeatedly.

Use Cases

  • Brand visual generation for design and marketing teams — generate posters, presentations, and website illustrations from text descriptions, choosing aspect ratio and resolution by placement and sending them straight into layout.
  • Asset production for e-commerce and product pages — input product selling points and scene descriptions to output image assets usable on product detail pages and in visual showcases.
  • Illustration generation for creators and social content — batch-generate illustrations by content theme, using different aspect ratios to fit each platform's dimensions.
  • Compositing workflows needing transparent assets — generate transparent-background images at 1K and overlay them directly onto existing pages or design files.

Limitations and Selection Advice

Sunburst trades speed for precision, and individual requests take longer, so it is not suited to low-latency, high-concurrency rapid image generation; when faster turnaround is needed, switch to the Flare variant, and when editing based on a reference image is needed, choose the image-to-image route in the same family. 4K output incurs higher compute and time costs; layouts with large amounts of small-size text or complex legends remain a difficult scenario and require human review. The model is a hosted service and does not support local deployment or self-fine-tuning.

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