[KongchangAI]
ModelGPT Image 2.5

GPT Image 2.5

A next-generation AI image generation and editing model introduced by OpenAI. It demonstrates strong performance on inpainting tasks by deeply coupling language understanding with image editing, enabling more natural content blending and semantically aware editing.

Timeline (last 90 days)

Oct 20

GPT Image 2.5's price rises steeply with quality tier, and the highest-quality renders are significantly more expensive than low- and medium-tier drafts.

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Oct 20

In single-character scenes, GPT Image 2.5 has a clear advantage in keeping faces recognizable under different lighting, backgrounds and artistic styles.

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Oct 20

GPT Image 2.5 can take up to 16 reference images in image-to-image tasks, with latency reduced by about 50% compared with the previous generation.

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Oct 13

GPT Image 2.5 is conspicuously absent from the image generation rankings on that list, and multiple commentators pointed out this major omission.

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Oct 11

In the documentary portrait task, GPT Image 2.5 independently added a red fez hat to the elderly subject, which was not requested in the prompt.

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Oct 11

GPT Image 2.5 costs $0.0326 per image at the high quality tier, with an output resolution of 1536x864.

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Oct 11

The final score across 8 head-to-head tests was OpenAI leading 3 to 2, with 3 draws.

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Oct 11

The chat completions endpoint of GPT Image 2.5 rejected these image models during testing, requiring calls via POST /api/v1/images.

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Oct 11

When editing with GPT Image 2.5, reference images are passed via the input_references field, supporting URLs or base64, with a maximum of 16 images.

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Oct 11

GPT Image 2.5's Flare version is priced the same as Sunburst at every tier, but is nearly twice as fast.

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7 more timeline events

All Facts (12)

Unverified

GPT Image 2.5 can take up to 16 reference images in image-to-image tasks, with latency reduced by about 50% compared with the previous generation.

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Unverified

GPT Image 2.5's price rises steeply with quality tier, and the highest-quality renders are significantly more expensive than low- and medium-tier drafts.

50%
Unverified

In single-character scenes, GPT Image 2.5 has a clear advantage in keeping faces recognizable under different lighting, backgrounds and artistic styles.

50%
Unverified

When editing with GPT Image 2.5, reference images are passed via the input_references field, supporting URLs or base64, with a maximum of 16 images.

50%
Unverified

The chat completions endpoint of GPT Image 2.5 rejected these image models during testing, requiring calls via POST /api/v1/images.

50%
Unverified

GPT Image 2.5's Flare version is priced the same as Sunburst at every tier, but is nearly twice as fast.

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If aspect_ratio is not specified in the first call to GPT Image 2.5, it may return 3:2 instead of the expected 16:9.

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The codename for GPT-Image-2.5 is Sunburst.

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The Along the River During the Qingming Festival scene generated by Luna Max over an hour and a half proactively rendered characters, roof textures, and shop fronts as textures displayed in the 3D scene, making full use of GPT-image's image generation capabilities.

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For users who have already subscribed to a commercial service, the marginal cost of using GPT Image 2.5 for inpainting is nearly zero.

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Closed-source models such as GPT Image 2.5 are currently difficult to use directly in ComfyUI unless you write your own nodes.

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A creator on Reddit stated that using GPT Image 2.5 for inpainting feels like cheating.

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