OpenAI 发布 GPT Image 2.6，登顶 AA-Image 双榜单
OpenAI 把文生图速度砍半还登顶了两个图像榜单，新加的 GIF 和 SVG 输出对做设计的朋友挺实用。
OpenAI 于 11 月 4 日在 ChatGPT、Codex 和 API 中发布 GPT Image 2.6，包含 Flare 和 Sunburst 两个版本，均拿下 AA-Image-T2I v2.1 和 AA-Image-Editing v2.1 的第一和第二名。GPT Image 2.6 Flare 的文生图中位耗时从约 55 秒降至 30 秒，图像编辑从约 58 秒降至 32 秒，质量还略有提升。Sunburst 版单张生成约 2 分 15 秒，在 Reasoning、Text Rendering、Lighting 等维度提升最大，UIUX Design 表现最强。两个版本均新增 GIF 和 SVG 输出，API 价格维持 $30/百万输出 token 不变，一张 1024x1024 图片约 $0.21。
OpenAI's GPT Image 2.6 takes #1 and #2 on both AA-Image-T2I v2.1 and AA-Image-Editing v2.1. GPT Image 2.6 Flare is almost twice as fast as GPT Image 2.5 Flare with slightly better quality, and GPT Image 2.6 Sunburst takes the top spot with longer generation times
OpenAI released GPT Image 2.6 on November 4 in ChatGPT, Codex and the API. The API offers two models, GPT Image 2.6 Flare and GPT Image 2.6 Sunburst, which follow GPT Image 2.5 Flare and Sunburst. Both support Text to Image and Image Editing, and add animated GIF and SVG output. OpenAI added a complexity setting to the API, which controls how much the model plans before rendering. We benchmarked both models at max quality, with complexity at its API default of high.
In our testing, GPT Image 2.6 Flare is almost twice as fast as GPT Image 2.5 Flare while delivering slightly better quality. Its median Text to Image generation time fell from about 55 to 30 seconds, and its editing time fell from about 58 to 32 seconds. GPT Image 2.6 Sunburst goes the other way: it takes longer than GPT Image 2.5 Sunburst, at about 2 minutes 15 seconds per image, and takes the #1 spot. Its largest Text to Image gains are in Reasoning, Text Rendering, Lighting and Material, and it is strongest in UIUX Design.
Both models cost $30 per 1M image output tokens, the same as GPT Image 2.5. That is about $0.21 per 1024x1024 image at max quality ($211 per 1k images).
GPT Image 2.6 is available in ChatGPT and Codex across all tiers, and in the OpenAI API.
Congratulations to @OpenAI on the release!
See below for our analysis of GPT Image 2.6 in the Artificial Analysis Image Arena 🧵
