OpenAI Developers 转发 DesignArena 榜单，GPT Image 2.6 Sunburst 在 Image Arena 排名第一，超过前代 Image 2.5 Sunburst。榜单称 GPT Image 2.6 Sunburst 与 Flare 在图像生成和图像编辑的偏好与速度前沿上均有提升，Flare 比前代快 2.6 倍，Sunburst 快 1.15 倍；OpenAI Developers 补充称画质设为 low 时 Flare 最快约六秒生成一张图。
引用榜单显示 GPT Image 2.6 两款模型在图像生成与编辑的速度偏好前沿上领先，并给出 Flare 低画质下约六秒出图的参考。
With image quality set to low, Flare can generate an image in as little as six seconds.
See Arena’s text-to-image and image editing results:
https://x.com/DesignArena/status/2118124376126271823?s=20
【引用 @DesignArena】BREAKING: GPT Image 2.6 Sunburst by @OpenAI is ranked #1 on Image Arena, overtaking its predecessor Image 2.5 Sunburst. GPT Image 2.6 Sunburst & Flare have also redefined the Preference vs Speed Pareto frontier for both Image Generation and Image Editing capabilities.
There is currently no model that is both better and faster than the GPT Image 2.6 models on both frontiers.
Key Data Points:
- #1 in the Portraits, Architecture, & Typography (GPT Image 2.6 Flare)
- #1 in Product & Landscape (GPT Image 2.6 Sunburst)
- 2.6 Flare is 2.6× faster than its predecessor for both Image and Image Editing
- 2.6 Sunburst is 1.15× faster than its predecessor for both Image and Image Editing
Congrats to the @OpenAI team for establishing a new SOTA on Preference vs Speed!
BREAKING: GPT Image 2.6 Sunburst by @OpenAI is ranked #1 on Image Arena, overtaking its predecessor Image 2.5 Sunburst. GPT Image 2.6 Sunburst & Flare have also redefined the Preference vs Speed Pareto frontier for both Image Generation and Image Editing capabilities. There is currently no model that is both better and faster than the GPT Image 2.6 models on both frontiers. Key Data Points: - #1 in the Portraits, Architecture, & Typography (GPT Image 2.6 Flare) - #1 in Product & Landscape (GPT Image 2.6 Sunburst) - 2.6 Flare is 2.6× faster than its predecessor for both Image and Image Editing - 2.6 Sunburst is 1.15× faster than its predecessor for both Image and Image Editing Congrats to the @OpenAI team for establishing a new SOTA on Preference vs Speed!在 X 查看被引用的帖子
来源：OpenAI Developers · x.com