OpenAI

GPT Image 2 Count

OpenAIPer Request
Alias:gpt-image-2-count
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Compare gpt-image-2-count API pricing, supported endpoints, capabilities and access options on Modelsell.

文生图图像编辑接口别名
Starting price
Per Request
Context
—
Maximum input window
Modalities
→

Pricing by Supplier

标准按次
图片音频视频等多模态按次计费
Price$0.01/ request
优质按次
Price$0.02/ request

Capabilities / Supported modalities

Vision
Input
Output

Provider & data privacy

Provider
OpenAIDocs
Tokenizer
o200k_base
License
Proprietary (commercial)Proprietary
Data retention30 daysNot used for upstream training by default

Performance

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows

Metrics sourced fromArtificial Analysis 2026-09-30·GPT Image 2 Count

This model is not included in the current benchmark snapshot.

Missing models or measurements are not zero scores.

Benchmark charts preserve the source model selection and reasoning settings. Missing models or measurements are not zero scores, and benchmark cost or speed is not this site’s service commitment.

About GPT Image 2 Count

GPT Image 2 可以把文字构想变成图片,也可以结合参考图修改已有画面。它适合为新商品准备展示图、尝试不同背景和光线,或为日常营销内容制作插画与视觉素材。有明确商品外观时,从实拍图开始编辑通常比重新描述所有细节更直接。

参考图可以承担不同创作任务:真实商品图确定轮廓、颜色和标识,风格图片提供色彩与视觉方向,草图则表达主体位置和构图。提示词应说明哪些内容要保留、哪些地方需要改变,例如只替换背景、调整照明或增加标题留白,让修改目标容易检查。

制作营销图片时,可以交代发布用途、画幅、主体位置与标题原文。商品主图需要突出物品与材质,活动海报则需要安排文字和视觉重心。模型能够在画面中生成文字,但复杂小字、数字和品牌标识仍应在成图后逐项核对。

需要一组风格统一的图片时,先确定主图的构图、光线与色调,再围绕同一参考制作背景或配色候选。每轮集中修改一个目标,并保留原始素材用于比较。发现商品结构、标签或比例发生偏移时,回到原图重新编辑,更容易守住重要外观。

Use cases and prompting

制作鞋类商品图

保留参考图中运动鞋的鞋型、鞋带、纹理和标识位置。只替换成浅灰色摄影棚背景,左上方柔光,鞋底接地阴影自然。商品完整入镜,居中摆放,不增加文字、配件或其他鞋子。

检查鞋型后,再制作浅米色背景版本,保持其他要求一致。

怎样做出一组统一的商品图? 复用同一主体参考,固定构图和光线要求,每次只调整背景或配色,并逐张比较标识与比例。

海报文字怎样写? 提供准确原文、层级和位置,说明不添加其他文字;成图后核对每个字与数字。

连续编辑后细节变了怎么办? 保留原始素材和已确认的版本,出现重要外观偏移时,从原图重新提出修改。

API access

API documentation

gpt-image-2-count

Use the linked documentation for model-specific request parameters and examples.

Code samples

RequestPOST/v1/images/generations
Example request
Parameters
ParameterTypeDefault / rangeDescription
promptrequired
string—Text description of the desired image
size
enum
=1024x1024
Output image size
quality
enum
=standard
Generation quality preset
style
enum
=vivid
Aesthetic style
n
integer
=11 ~ 10
Number of images to generate
response_format
enum
=url
How to deliver the resulting image

Replace <YOUR_API_KEY> with the API key from your token settings.

Authentication

All requests must include Authorization: Bearer <TOKEN> header. Anthropic-formatted endpoints accept the x-api-key header instead.

Generate tokens from the Tokens page; you can scope them to specific models, groups, IPs, and rate-limits.

Supported parameters

Generation parameters
ParameterTypeDefault / rangeDescription
promptrequired
string—Text description of the desired image
size
enum
=1024x1024
Output image size
quality
enum
=standard
Generation quality preset
style
enum
=vivid
Aesthetic style
n
integer
=11 ~ 10
Number of images to generate
response_format
enum
=url
How to deliver the resulting image

Rate limits

SupplierRPMTPMRPD
优质按次UnlimitedUnlimitedUnlimited
标准按次UnlimitedUnlimitedUnlimited

No restriction

Frequently asked questions about gpt-image-2-count

What is gpt-image-2-count?

Compare gpt-image-2-count API pricing, supported endpoints, capabilities and access options on Modelsell.

How do I call gpt-image-2-count?

Create an API key with access to gpt-image-2-count, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.

How is gpt-image-2-count priced?

Pricing depends on the selected provider group and the model billing unit. The current input, output, request, or media prices are shown on this page before sign-up.

How should I evaluate gpt-image-2-count for my project?

Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.