Model comparison
Compare GPT-Image-2.6 Sunburst and GPT-Image-2.6 Flare using the same provider-sourced image generation rubric. No mystery score and no invented benchmark ranking.
Set your usage. Your estimate updates as you type.
Example output: square 1,024 × 1,024 images. Prices depend on supported resolution and quality; edits and retries can cost extra.
Estimates exclude taxes, tools, cache storage/writes, free allowances and custom discounts. Image estimates cover output only, not prompt or reference-image charges. Quality modes differ by model. Unlisted settings are not treated as free.
| Model | Access | Pricing & comparisons |
|---|---|---|
| GPT-Image-2.6 FlareOpenAI | OpenAI | $5 text input · $8 image input · $30 image output / 1M tokens |
| GPT-Image-2.6 SunburstOpenAI | OpenAI | $5 text input · $8 image input · $30 image output / 1M tokens |
Quick take
OpenAI's GPT Image 2.6 model for detailed compositions and edits, with adjustable complexity, markup guidance, editable SVG graphics and animated GIFs.
Higher complexity can increase latency or introduce unwanted changes. Review text and preserved details. SVG has additional authoring costs, and neither SVG nor GIF generation supports streaming.
OpenAI's GPT Image 2.6 model for fast visual iteration, with adjustable complexity, markup-guided edits, editable SVG graphics and animated GIFs.
Higher complexity can increase latency or introduce unwanted changes. Review text and preserved details. SVG has additional authoring costs, and neither SVG nor GIF generation supports streaming.
Compare the published facts
Values use each provider's own published units and limits. A blank means the provider did not publish a directly comparable value in the sources reviewed.
| Image generation | GPT-Image-2.6 Sunburst | GPT-Image-2.6 Flare |
|---|---|---|
| Typical price basisA representative current provider price with its quality or resolution basis. | OpenAI: $5 text input · $8 image input · $30 image output / 1M tokens | OpenAI: $5 text input · $8 image input · $30 image output / 1M tokens |
| Maximum outputMaximum documented resolution or pixel area for the listed route. | Not published | Not published |
| Core tasksWhether the model supports generation, editing, or both. | Generation, markup-guided edits, SVG and animated GIF output | Generation, markup-guided edits, SVG and animated GIF output |
| Reference imagesHow the model can use images to guide or edit an output. | Image inputs and a separate transparent annotation layer | Image inputs and a separate transparent annotation layer |
| Text & layoutProvider-documented positioning for typography and structured composition. | Adjustable complexity for dense text and layouts | Adjustable complexity for dense text and layouts |
| API accessDirect and notable third-party routes included in this guide. | OpenAI Images API | OpenAI Images API |
How to choose
Start with the job you need to complete, then validate cost, access, and policy details on your exact provider route.
OpenAI says direct API inputs and outputs are not used for model training by default. Standard abuse-monitoring retention and organization-specific data controls still apply.
Provider and API links
OpenAI says direct API inputs and outputs are not used for model training by default. Standard abuse-monitoring retention and organization-specific data controls still apply.
Provider and API links
Frequently asked questions
GPT-Image-2.6 Sunburst: OpenAI's GPT Image 2.6 model for detailed compositions and edits, with adjustable complexity, markup guidance, editable SVG graphics and animated GIFs. GPT-Image-2.6 Flare: OpenAI's GPT Image 2.6 model for fast visual iteration, with adjustable complexity, markup-guided edits, editable SVG graphics and animated GIFs.
Consider GPT-Image-2.6 Sunburst when your priority is Detailed compositions and text-heavy layouts. Consider GPT-Image-2.6 Flare when your priority is Interactive image generation and rapid iteration. Test both with your own data and provider route before committing.
No. This comparison aligns provider-published facts for the Image generation category. It does not claim a universal winner or combine incompatible third-party benchmark scores.
