Try Gemini 3, our best model for reasoning, coding, and multimodal understanding in Vertex AI

Vertex AI Platform

Innovate faster with enterprise-ready AI, enhanced by Gemini models

Vertex AI is a fully-managed, unified AI development platform for building and using generative AI. Access and utilize Vertex AI Studio, Agent Builder, and 200+ foundation models.

New customers get up to $300 in free credits to try Vertex AI and other Google Cloud products.

Features

Gemini, Google’s most capable multimodal models

Vertex AI offers access to the latest Gemini models from Google, including Gemini 3. Gemini is capable of understanding virtually any input, combining different types of information, and generating almost any output. Prompt and test Gemini in Vertex AI Studio, using text, images, video, or code. Using Gemini’s advanced reasoning and state-of-the-art generation capabilities, developers can try sample prompts for extracting text from images, converting image text to JSON, and even generate answers about uploaded images to build next-gen AI applications.

How to use the Gemini APIs: Advanced techniques

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200+ generative AI models and tools

Choose from the widest variety of models with first-party (Gemini, Imagen, Chirp, Veo), third-party (Anthropic's Claude Model Family), and open models (Gemma, Llama 3.2) in Model Garden. Use extensions to enable models to retrieve real-time information and trigger actions. You can also customize models to your use case with a variety of tuning options.

Our Gen AI evaluation service provides enterprise-grade tools for objective, data-driven assessment of generative AI models.

Quickstart: Get started with Gemini 3

Open and integrated AI platform

Data scientists can move faster with Vertex AI Platform's tools for training, tuning, and deploying ML models.

Vertex AI notebooks, including your choice of Colab Enterprise or Workbench, are natively integrated with BigQuery providing a single surface across all data and AI workloads.

Vertex AI Training and Prediction help you reduce training time and deploy models to production easily with your choice of open source frameworks and optimized AI infrastructure.

MLOps for predictive and generative AI

Vertex AI Platform provides purpose-built MLOps tools for data scientists and ML engineers to automate, standardize, and manage ML projects.

Modular tools help you collaborate across teams and improve models throughout the entire development lifecycle—identify the best model for a use case with Vertex AI Evaluation, orchestrate workflows with Vertex AI Pipelines, manage any model with Model Registry, serve, share, and reuse ML features with Feature Store, and monitor models for input skew and drift.

MLOps with Vertex AI: Model Evaluation

No cost training

Get started

Build, scale, govern enterprise agents

Vertex AI Agent Builder is our open and comprehensive platform that empowers businesses to rapidly build, scale, and govern enterprise-grade agents grounded in your enterprise data. It provides the full-stack foundation and extensive developer choice you need to transform your applications and workflows into powerful, reliable agentic systems at global scale.

Scale agents from Vertex AI to your organization

Use Gemini Enterprise to securely register, manage, and govern your custom-built agents.

Learn about Gemini Enterprise

How It Works

Vertex AI provides several options for model training and deployment:
Generative AI gives you access to large generative AI models, including Gemini 3, so you can evaluate, tune, and deploy them for use in your AI-powered applications.
Model Garden lets you discover, test, customize, and deploy in Vertex AI and select open-source (OSS) models and assets.
Custom training gives you complete control over the training process, including using your preferred ML framework, writing your own training code, and choosing hyperparameter tuning options.

Common Uses

Build with Gemini models

Get started with Google's multimodal models

Use Vertex AI Studio to design, test, and manage prompts for Gemini models using natural language, code, images, or video. Try sample prompts for extracting text from images, image mock up to HTML, and even generate answers about uploaded images or videos.

You can also start testing Gemini on Vertex AI with an API key.

Access Gemini models via the Gemini API in Google Cloud Vertex AI

View code samples for Python, JavaScript, Java, Go, and Curl

    contents="Explain how AI works in a few words",

AI Agents and applications

Unlock advanced AI capabilities with Vertex AI

Build production-ready generative AI agents and applications on a platform that scales with you. Our AI development platform, Vertex AI, provides a secure environment for developing and deploying AI models and applications.

For developers, Vertex AI remains our advanced platform where you can build, customize, and fine-tune sophisticated agents using frameworks like the Agent Development Kit (ADK).

Get started with this codelab and build your first AI application today

Extract, summarize, and classify data

Use gen AI for summarization, classification, and extraction

Learn how to create text prompts for handling any number of tasks with Vertex AI’s generative AI support. Some of the most common tasks are classification, summarization, and extraction. Gemini on Vertex AI lets you design prompts with flexibility in terms of their structure and format.

Train custom ML models

Custom ML training overview and documentation

Get an overview of the custom training workflow in Vertex AI, the benefits of custom training, and the various training options that are available. This page also details every step involved in the ML training workflow from preparing data to predictions.

Get a video walkthrough of the steps required to train custom models on Vertex AI.

Deploy a model for production use

Deploy for batch or online predictions

When you're ready to use your model to solve a real-world problem, register your model to Vertex AI Model Registry and use the Vertex AI prediction service for batch and online predictions.

Watch Prototype to Production, a video series that takes you from notebook code to a deployed model.

Generate a solution

What problem are you trying to solve?

What you'll get:

Step-by-step guide

Reference architecture

Available pre-built solutions

This service was built with Vertex AI. You must be 18 or older to use it. Do not enter sensitive, confidential, or personal info.

Pricing

How Vertex AI pricing works	Pay for Vertex AI tools, storage, compute & Cloud resources used. New customers get $300 free credits to try Vertex AI and Google Cloud products.
Tools and usage	Description	Price
Generative AI	Imagen model for image generation Based on image input, character input, or custom training pricing.	Starting at $0.0001
Generative AI	Text, chat, and code generation Based on every 1,000 characters of input (prompt) and every 1,000 characters of output (response).	Starting at $0.0001 per 1,000 characters
Custom-trained models	Custom model training Based on machine type used per hour, region, and any accelerators used. Get an estimate via sales or our pricing calculator.	Contact sales
Vertex AI notebooks	Compute and storage resources Based on the same rates as Compute Engine and Cloud Storage.	Refer to products
Vertex AI notebooks	Management fees In addition to the above resource usage, management fees apply based on region, instances, notebooks, and managed notebooks used. View details.	Refer to details
Vertex AI Pipelines	Execution and additional fees Based on execution charge, resources used, and any additional service fees.	Starting at $0.03 per pipeline run
Vertex AI Vector Search	Serving and building costs Based on the size of your data, the amount of queries per second (QPS) you want to run, and the number of nodes you use. View example.	Refer to example

View pricing details for all Vertex AI features and services.

Pricing calculator

Estimate your Vertex AI costs, including region-specific pricing and fees.

Custom quote

Connect with our sales team to get a custom quote for your organization.

Start your proof of concept

New customers get up to $300 in free credits to try Vertex AI and other Google Cloud products

Have a large project?

Browse, customize, and deploy machine learning models

Learn how to set up a Vertex AI project environment

Get started with notebooks for machine learning

Business Case

Unlock the full potential of gen AI

"The accuracy of Google Cloud's generative AI solution and practicality of the Vertex AI Platform gives us the confidence we needed to implement this cutting-edge technology into the heart of our business and achieve our long-term goal of a zero-minute response time."

Abdol Moabery, CEO of GA Telesis

Analyst reports

Google named a Leader in the 2025 IDC MarketScape for Worldwide GenAI Life-Cycle Foundation Model Software. Download the report

Google named a Leader in The Forrester Wave™: AI Foundation Models For Language, Q2 2024. Read the report

Google named a leader in the Forrester Wave™: AI/ML Platforms, Q3 2024. Read the report

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