推出 ChatGPT Images 2.5

2026 年 9 月 8 日 - 链接博客

推出 ChatGPT Images 2.5。据称，OpenAI 的图像生成模型已通过 ChatGPT Images 以及 API 中的 GPT-Image 模型生成了“超过 30 亿张图片”。此次最新发布提升了模型在多轮交互中的指令遵循能力，响应速度更快，并且“能更好地保留参考照片中的主体”。

API 中新增了两个模型 ID：gpt-image-2.5-sunburst 和 gpt-image-2.5-flare。根据这份文档，我认为 Sunburst 是能力更强的选项：

当编辑精度最重要时，选择 Sunburst；如需快速、高质量的日常图像生成，则选择 Flare。

我升级了自己的 openai_image.py CLI 工具，使其支持传入一张或多张参考图片，因此现在可以这样使用：

uv run https://tools.simonwillison.net/python/openai_image.py \
  'add a raccoon scientist studying the chart thoughtfully' \
  -i https://static.simonwillison.net/static/2026/openai-agent-usage.webp \
  -m gpt-image-2.5-sunburst

这是原始图片，以下是针对“添加一位认真研究图表的浣熊科学家”这一提示词返回的结果：

8th September 2026 - Link Blog

Introducing ChatGPT Images 2.5. OpenAI's image generation models are apparently used "more than 3 billion images across ChatGPT Images and the GPT‑Image models in the API". This latest release improves their instruction-following ability across multiple turns, responds faster, and "is better at preserving the subjects in your reference photos".

There are two new model IDs in the API: gpt-image-2.5-sunburst and gpt-image-2.5-flare. Based on this I think Sunburst is the stronger option:

Choose Sunburst for workflows where editing precision matters most, and Flare for fast, high-quality everyday image generation.

I upgraded my openai_image.py CLI tool to support passing in one or more reference images, so now this works:

uv run https://tools.simonwillison.net/python/openai_image.py \
  'add a raccoon scientist studying the chart thoughtfully' \
  -i https://static.simonwillison.net/static/2026/openai-agent-usage.webp \
  -m gpt-image-2.5-sunburst

This is the original image, and here's what I got back from that prompt to "add a raccoon scientist studying the chart thoughtfully":