Gemini

Gemini 2.5 Flash Image

GoogleToken-based
Alias:gemini-2.5-flash-image
Create API Key

Compare gemini-2.5-flash-image API pricing, supported endpoints, capabilities and access options on Modelsell.

文生图对话式修图主体一致性文字渲染
Starting price
Input / Output · 1M
Context
65.5K
Maximum input window
Max output
32.8K
Maximum tokens per response
Modalities
→
Knowledge cutoff
Jun 2025

Pricing by Supplier

Google AI Studio
-50%
谷歌官方接口
Input$0.3$0.15/ 1M
Output$30$15/ 1M
Google Vertex
-30%
谷歌官方接口
Input$0.3$0.21/ 1M
Output$30$21/ 1M

Capabilities / Supported modalities

Vision
Input
Output

Provider & data privacy

Provider
GoogleDocs
Tokenizer
SentencePiece (Gemini)
License
Proprietary (commercial)Proprietary
Data retention52 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·Gemini 2.5 Flash Image

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 Gemini 2.5 Flash Image

Gemini 2.5 Flash Image 把修图变成可以连续沟通的过程。上传一张商品、人物或场景图,再告诉它需要更换什么背景、保留哪些细节,便能沿着原来的视觉继续创作。它也能直接根据文字生成图片,适合概念草图、社交配图和日常设计探索。

它的实用之处在于围绕现有主体做变化:把家居产品放进不同房间,为人物尝试新的服装气氛,或者保留构图、改变画面风格。每轮改动尽量集中,让模型清楚哪些地方已经确定,哪些地方还在尝试。连续修改可能带来细节漂移,重要任务应保留清晰的原图,并比较人物面部、产品比例和标识。

作为初代 Nano Banana,它适合已经建立的对话式图像工作流。这个图像版本没有搜索辅助能力,因此现实产品信息、地点细节或文字内容应由你提供。短文案可以融入画面,长段文字和精确排版则更适合后期完成。

Use cases and prompting

把椅子产品图放进阅读角

保留参考图中椅子的木质框架、坐垫颜色和腿部结构。将它放到明亮的窗边阅读角,旁边只有一张小圆桌与一本书。自然日光,家居摄影风格,椅子完整入镜,不增加其他椅子,不生成文字。

下一轮只改成傍晚暖灯光,保持椅子位置、比例与房间布局。

连续修改后椅子变样了怎么办? 回到清晰原图,重新说明需要保留的结构,减少一次修改的内容。

能自动查到真实商品信息吗? 这个版本不提供搜索辅助,请主动给出准确图片和产品要求。

适合改图还是画新图? 都可以;有明确外观要求时,参考图能更直接地表达目标。

API access

API documentation

gemini-2.5-flash-image

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

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.

Rate limits

SupplierRPMTPMRPD
Google AI StudioUnlimitedUnlimitedUnlimited
Google VertexUnlimitedUnlimitedUnlimited

No restriction

Frequently asked questions about gemini-2.5-flash-image

What is gemini-2.5-flash-image?

Compare gemini-2.5-flash-image API pricing, supported endpoints, capabilities and access options on Modelsell.

How do I call gemini-2.5-flash-image?

Create an API key with access to gemini-2.5-flash-image, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.

How is gemini-2.5-flash-image 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.

What is the context window of gemini-2.5-flash-image?

The model catalog lists a context window of 65536 tokens. Check the selected endpoint for request limits.

What is the maximum output of gemini-2.5-flash-image?

The model catalog lists a maximum output of 32768 tokens. Your request settings may set a lower limit.

How should I evaluate gemini-2.5-flash-image for my project?

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