Text in Images
Renders text directly within generated images, including long passages and multilingual layouts with high legibility.
Google
Gemini 3 Pro Image
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.
Nov 20, 2025
65,536 context
32,768 tokens output
Text in Images
High-Resolution Output
Multi-Subject Blending
Localized Image Editing
Multimodal Input
Search Grounding
Model Overview
High-signal model metadata in a structured two-column overview table.
Provider
The entity that provides this model.
Google
Model ID
The routed model identifier exposed by upstream providers.
google/gemini-3-pro-image-preview
Input Context Window
The number of tokens supported by the input context window.
65,536
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
32,768 tokens
tokens
Open Source
Whether the model's code is available for public use.
No
Release Date
When the model was first released.
Nov 20, 2025
6 months ago
Knowledge Cut-off Date
When the model's knowledge was last updated.
November 2025
API Providers
The providers that offer this model. This is not an exhaustive list.
Google, Google AI Studio
Modalities
Types of data this model can process.
Text
Image
What is Gemini 3 Pro Image
A fuller summary of positioning, capabilities, and source-specific details for Gemini 3 Pro Image.
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.
Capabilities
What Gemini 3 Pro Image supports
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.
Pricing for Gemini 3 Pro Image
Primary API pricing shown in the same “quick compare” spirit as the reference page.
Input tokens
$2.00
Per million tokens
Output tokens
$12.00
Per million tokens
Price Comparison
Additional usage-cost dimensions synced into the project for this model.
Image input
$2.00
Audio input
$2.00
Web search
$14000.00
Reasoning
$12.00
Cache read
$0.20
Cache write
$0.38
maxTemperature
2
maxResponseSize
32,768 tokens
API Access & Providers
Places where this model is available, based on the synced detail-page metadata.
Google
Google AI Studio
Provider Endpoints
Endpoint-level provider data currently available for this model.
Google AI Studio
Configuration & Parameters
The configurable options currently documented for this model.
Source Images
Image URL ArrayIf you want to edit an existing image, provide the URL(s) or variables
Aspect Ratio
SelectImage Size
SelectSupported Request Parameters
Parameters currently listed by OpenRouter or the local catalog for this model.
Resources & Documentation
Official model cards, release notes, docs, and other references synced from the source page.
Community discussion
What people think about Gemini 3 Pro Image
Gemini 3 Pro Image discussions are most active in r/Bard, r/GeminiAI, r/QwenImageGen. Top Reddit threads cluster around benchmark and model-comparison threads, coding workflow discussions.
The strongest match in this snapshot has 830 upvotes and 334 comments.
It seems that in addition to image generation, there’s also a thinking now, and the generation quality seems higher than before.
https://preview.redd.it/kdywgu58qd2g1.jpg?width=1540&format=pjpg&auto=webp&s=32af8f7a37ee6af21c1100de23f5a6b8713562ba
https://preview.redd.it/2xn3xok8qd2g1.jpg?width=1546&format=pjpg&auto=webp&s=21e82e35f9d95f7d08b6e3c0b1116f18bd6d90c5
Nano Banana 2 (gemini-3-pro-image-preview) is not free. It's free on Gemini app and web for few generations, but the resolution is 1MP. In Google AI Studio, you need a paid API KEY to access Nano Banana 2, with resolution upto 16MP. On LMArena, it's free for few generations at 1MP as well. It'll probably be available on Vertex AI, Fal.ai and Replicate, but it'll be paid on these platforms as well.
Tip: Do not create an API Key on Google AI Studio if you do not know what you're doing or how API Keys work. And do not add any billing methods to Google AI Studio as well. You need an API Key with Billing enabled to use Nano Banana Pro. You'll be charged on your payment method if you use Nano Banana Pro. Don't do any of this if you don't want any charges on your side.
Yesterday **Flux.2** dropped, so naturally I had to include it in the same test.
Yes, Flux.2 looks cinematic. Yes, Gemini still has that ultra-clean polish.
But in real-world use, the improvements are marginal and do not really justify the extreme hardware requirements.
Unless you *really* need typographic accuracy *(not tested here)*, Qwen is still the most practical model for high-volume work.
With the release of **Gemini 3 Pro** yesterday, the bar for prompt adherence and photorealism has been raised again. I wanted to see if **Qwen-Image-Edit 2509**, gets crushed by the corporate giant or if it holds the line.
I used complex to depict prompts designed to break semantic understanding (Material logic, Role reversal, Nested objects).
**Conclusion**
For a local model running in 4 steps, Qwen is punching way above its weight class. Gemini 3 Pro has the edge on texture fidelity and "polish" (which is expected from a model of that size). However, the fact that **Qwen-Image-Edit 2509**, running locally on a consumer **RTX 5090** GPU with a 4-step Lightning workflow, follows these complex instructions almost identically is massive.
FAQ
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.
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