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Model comparison · Labnana

GPT-Image-2 vs GPT-Image-2.5

These are the same family one version apart, and OpenAI has not deprecated the older one — GPT-Image-2 is still its recommended replacement for every GPT Image and DALL·E model before it. So this is not an upgrade you are forced into; it is a question of what 2.5 adds and whether you need it.

Both are in the Labnana model menu and both take the same prompt, so trying the newer one costs a dropdown change.

Side by side

Every figure below is read from the two model pages, so it moves when the models do.

GPT-Image-2
GPT-Image-2.5
Provider
OpenAI
OpenAI
Upstream model
GPT-Image-2
GPT-Image-2.5 Flare · GPT-Image-2.5 Sunburst
Resolutions
1K / 2K / 4K
1K / 2K / 4K
Aspect ratios
10 ratios (1:1 – 21:9)
10 ratios from 1:1 to 21:9
Reference images
Up to 4 per generation
Up to 4 per generation
Free quota
Campaign-based — remaining count shown in the generator
No dedicated quota — runs on universal credits
Best for
Spec-driven briefs, clean illustration, layout control
Precise edits, subject preservation, transparent assets

Which one to pick

You are starting something new

GPT-Image-2.5 Flare

OpenAI’s own guidance for new integrations is to use one of the 2.5 models, and Flare is the one it positions for everyday work — described as the small model optimised for speed, with image quality comparable to GPT-Image-2. Starting on the newer one costs nothing and inherits the improvements.

The edit has to be exact

GPT-Image-2.5 Sunburst

Precise editing and subject preservation are the documented improvements in 2.5, and Sunburst is the tier OpenAI points at for workflows where editing precision matters most. This is the one case where the version difference is the whole point.

You have prompts that already work

GPT-Image-2

It is not deprecated and it has not changed. A prompt library tuned against GPT-Image-2 will keep producing what it produced, and re-tuning it to chase a newer model is work with no guaranteed payoff. Move the ones that need better editing and leave the rest.

What each one produces

GPT-Image-2

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提取角色,二次元CG,带有一点手绘风格。
捕捉角色侧身看镜头的瞬间。
角色身高148cm
角色胸前的挂坠饰品是立体的、球状的
鲜明展现角色气质。画面中不出现文字Extract character, anime CG, with a slight hand-drawn style. 
 Capture the moment the character look竖版插画,复古手绘板风格,非厚涂,高对比度。整幅画摒弃平滑渐变,以老旧羊皮纸般的斑驳肌理、丝网印刷的粗糙网点与干涩的刮擦排线构成全部影调。画面色彩极度克制,仅使用深邃的暗黑与大面积高饱和的金黄色,两种

GPT-Image-2.5

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请仅基于上传的1张“角色人设图”进行创作。

【全局动态适配机制(核心要求)】
仔细观察上传人设图的面部表情、眼神、发型和整体气质(如:文静、元気、高冷、俏皮、忧郁等)。根据提取到的气质,**动态调整根据参考图角色生成一幅清新唯美的日系二次元简笔插画画面:角色小嘴轻轻张开,带着好奇又软萌的表情。抛弃原图服装特点,改为浅蓝绿色盐系马甲,内搭白色衬衫;头发散落并随意披在肩上,带两到三个随机可爱发卡。画请仅基于上传的1张“角色人设图”进行创作。

【全局动态适配机制(核心要求)】
仔细观察上传人设图的面部表情、眼神、发型和整体气质(如:文静、元気、高冷、俏皮、忧郁等)。根据提取到的气质,**动态调整

Frequently asked questions

Run the same prompt on both

They sit next to each other in the same model menu, so comparing them is a dropdown change rather than a second account.