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Image Generation Model

Gemini 3 Pro Image

Google's most advanced image generation and editing model, built on Gemini 3 Pro, delivering professional-grade visual synthesis with multimodal reasoning.

Publisher Google
Type Image
Context Window 65,536 tokens
Training Data November 2025
Price $0.13/image
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Professional image generation with multimodal reasoning

Gemini 3 Pro Image is Google's flagship image generation and editing model, built on the Gemini 3 Pro architecture. It supports both image and text prompts as inputs and is designed for high-fidelity visual creation tasks such as product visualization, storyboarding, infographic design, and complex multi-element compositions. The model includes a tunable media_resolution control that lets developers balance speed, precision, and detail depending on the task at hand. It also supports real-time grounding via Search integration, enabling context-rich visual outputs.

The model is notable for its text rendering capabilities within images, including long passages and multilingual layouts, as well as identity preservation across up to five subjects in multi-image blending scenarios. It supports high-resolution output at 2K and 4K resolutions with flexible aspect ratios, along with fine-grained controls for localized edits, lighting adjustments, focus changes, and camera transformations. Gemini 3 Pro Image is best suited for designers, developers, and creative professionals who require reliable, high-quality image generation with detailed control over visual outputs. It was added to MindStudio on November 20, 2025, with a training data cutoff of November 2025.

What Gemini 3 Pro Image supports

Text in Images

Renders text directly within generated images, including long passages and multilingual layouts with high legibility.

High-Resolution Output

Generates images at up to 2K and 4K resolutions with support for flexible aspect ratios to suit different production needs.

Multi-Subject Blending

Preserves consistent identity and appearance across up to five subjects when compositing or blending multiple input images.

Localized Image Editing

Supports fine-grained edits including lighting adjustments, focus changes, camera transformations, and region-specific modifications.

Multimodal Input

Accepts both image URL arrays and text prompts as inputs, enabling image-to-image editing and text-to-image generation in a single model.

Search Grounding

Integrates real-time Search grounding to produce context-rich visual content informed by up-to-date information.

Resolution Control

Exposes a tunable media_resolution parameter that lets developers trade off between generation speed, detail level, and precision per request.

Large Context Window

Supports a 65,536-token context window, allowing detailed and lengthy prompts for complex image generation instructions.

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Common questions about Gemini 3 Pro Image

What is the context window size for Gemini 3 Pro Image?

Gemini 3 Pro Image has a context window of 65,536 tokens, which allows for detailed and lengthy prompts when generating or editing images.

What input types does Gemini 3 Pro Image accept?

The model accepts image URL arrays and select-type inputs, meaning you can provide both image references and text-based configuration options as part of your prompt.

What is the training data cutoff for this model?

According to the model metadata, the training data cutoff date is November 2025.

What resolutions does Gemini 3 Pro Image support?

The model supports high-resolution output at 2K and 4K resolutions with flexible aspect ratios, and includes a tunable media_resolution control to balance speed and detail.

Who publishes Gemini 3 Pro Image and where can I learn more?

Gemini 3 Pro Image is published by Google. Official documentation is available at ai.google.dev/gemini-api/docs/gemini-3, and the model can be explored in Google AI Studio at aistudio.google.com/models/gemini-3.

What people think about Gemini 3 Pro Image

The available Reddit thread does not directly discuss Gemini 3 Pro Image; instead, it focuses on a competing image generation model and references a different Google model in passing. Community sentiment in the thread is largely centered on benchmarking comparisons rather than hands-on usage of Gemini 3 Pro Image specifically.

No Reddit threads were found that discuss Gemini 3 Pro Image's capabilities, limitations, or use cases in detail. The community data available is insufficient to draw conclusions about user sentiment toward this specific model.

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Parameters & options

Max Temperature 2
Max Response Size 32,768 tokens
Source Images Image URL Array

If you want to edit an existing image, provide the URL(s) or variables

Aspect Ratio Select
Default: 16:9
1:116:99:163:44:32:33:2
Image Size Select
Default: 2K
1K2K4K

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