GPT Image 2.6 Sunburst

GPT Image 2.6 Sunburst is OpenAI's precision-oriented image generation and editing model for detailed visual work. Its official API ID is gpt-image-2.6-sunburst. It accepts text and image inputs and produces image outputs, supporting prompt-based creation, reference-guided composition, and complex image editing. The model is designed for workflows requiring detailed visual instructions, controlled modifications, and sophisticated creative output.

The model supports image generation and editing through the Image API, with additional image-generation workflows available through compatible Responses API integrations. Its capabilities include complexity controls, markup-guided editing, SVG output, and animated GIF generation. These features extend its usefulness beyond conventional raster image creation to structured graphics, targeted visual modifications, and animated content production.

Key Capabilities

• Precision Text-to-Image: Generates detailed photographs, illustrations, advertising visuals, product imagery, posters, and creative compositions from natural-language prompts.
• Advanced Image Editing: Modifies existing images through instructions involving subjects, environments, composition, lighting, materials, colors, and visual details.
• Reference-Guided Composition: Uses image inputs alongside textual instructions to guide subject appearance, visual consistency, and complex scene construction.
• Complexity Control: Provides a complexity setting for controlling the generation process in supported workflows, helping developers adapt image creation to different visual requirements.
• Markup-Guided Editing: Supports visual markup as editing guidance, enabling more explicit communication of intended changes and target regions.
• SVG Image Output: Supports SVG generation for workflows requiring vector-based graphics, scalable illustrations, and structured visual assets.
• Animated GIF Generation: Supports animated GIF output for creating moving visual content, short animations, and expressive graphic assets.

Technical Strengths

Feature	Benefit
Precision-Oriented Image Generation	Handles detailed visual compositions and editing workflows that require careful interpretation of instructions and reference imagery.
Text and Image Inputs	Combines natural-language instructions with visual references for image creation, transformation, and editing.
Dedicated Image API Endpoints	Supports v1/images/generations for image creation and v1/images/edits for modifying existing images.
Complexity Configuration	Offers additional control over generation complexity for different creative and production requirements.
Markup-Guided Editing	Uses visual annotations to communicate editing intent and guide changes to selected elements or regions.
SVG and Animated GIF Output	Extends supported creative workflows to scalable vector graphics and animated imagery.
Token-Based Pricing	Provides separate pricing for text input, image input, cached input, and generated image output.

Frequently Asked Questions

How does GPT Image 2.6 Sunburst differ from GPT Image 2.5 Sunburst?

GPT Image 2.6 Sunburst introduces documented capabilities including complexity controls, markup-guided editing, SVG output, and animated GIF generation. These features broaden the range of supported creative workflows beyond conventional image generation and editing. Developers should evaluate both models using representative prompts and reference images to determine differences in visual quality, editing precision, latency, and cost.

Can GPT Image 2.6 Sunburst generate images from existing images?

Yes. GPT Image 2.6 Sunburst accepts image inputs and supports image editing. Developers can combine visual references with natural-language instructions to describe the desired result, including changes to composition, subject appearance, materials, lighting, or other visual elements.

What is markup-guided editing in GPT Image 2.6 Sunburst?

Markup-guided editing allows visual annotations to help communicate intended image modifications. Instead of relying exclusively on textual descriptions, developers can use markup to indicate relevant regions or elements and provide accompanying instructions describing the desired changes. This is particularly useful for localized editing and visually complex revision requests.

Does GPT Image 2.6 Sunburst support SVG output?

Yes. SVG output is included in the model's documented image-generation capabilities. It enables workflows involving scalable graphics and vector-based visual assets. Developers should consult the image-generation guide for the exact output configuration and any restrictions applicable to SVG generation.

Can GPT Image 2.6 Sunburst generate animated GIFs?

Yes. Animated GIF output is documented for GPT Image 2.6 Sunburst. This enables developers to create animated visual assets in addition to static images. Animation configuration, supported durations, frame handling, and output restrictions should be checked against the current API documentation.

How much does GPT Image 2.6 Sunburst cost?

OpenAI lists token-based pricing of $5.00 per million text input tokens, $1.25 per million cached text input tokens, $8.00 per million image input tokens, $2.00 per million cached image input tokens, and $30.00 per million image output tokens. Actual request costs depend on token usage and the selected generation or editing workflow.

How should GPT Image 2.6 Sunburst support be verified after it appears on LinkModel?

Open the live LinkModel model page and confirm the platform-specific model ID, image generation and editing endpoints, supported input formats, complexity controls, markup-guided editing parameters, SVG output, animated GIF support, and pricing. Integrate against LinkModel's published request schema rather than assuming that OpenAI-native API endpoints and parameters are directly interchangeable.