Vertex AI Platform

Vertex AI

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.

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.

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.

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.

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.

Vertex AI and Gemini UI

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.

Vertex AI and Gemini UI

AI Agents and applications

Extract, summarize, and classify data

Train custom ML models

Deploy a model for production use

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 worksPay 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 usageDescriptionPrice

Generative AI

Imagen model for image generation

Based on image input, character input, or custom training pricing

Starting at

$0.0001

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

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

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.

Description

Imagen model for image generation

Based on image input, character input, or custom training pricing

Price

Text, chat, and code generation

Based on every 1,000 characters of input (prompt) and every 1,000 characters of output (response).

Description

Starting at

$0.0001

per 1,000 characters

Description

Custom model training

Based on machine type used per hour, region, and any accelerators used. Get an estimate via sales or our pricing calculator

Price

Contact sales

Description

Price

Refer to products

Management fees

In addition to the above resource usage, management fees apply based on region, instances, notebooks, and managed notebooks used. View details.

Description

Refer to details

Description

Execution and additional fees

Based on execution charge, resources used, and any additional service fees. 

Price

Starting at

$0.03

per pipeline run

Description

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.

Price

Refer to example

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


GA Telesis logo

"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

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