Vertex AI Reviews & Pricing 2026

Build, deploy, and scale ML models faster, with pre-trained and custom tooling

Build with the groundbreaking ML tools that power Google, developed by Google Research. Deploy more models, faster, with 80% fewer lines code required for custom modeling. Use MLOps tools to easily manage your data and models with confidence and repeat at scale. Vertex AI brings together the Google Cloud services for building ML under one, unified UI and API. In Vertex AI, you can now easily train and compare models using AutoML or custom code training and all your models are stored in one central model repository. These models can now be deployed to the same endpoints on Vertex AI.

Industries

Information-technology-services

Licensing & Deployment

Proprietary
Cloud Hosted
Web-based
Windows
Mac

Support

Chat
Phone
24x7 Support

Knowledge Base

Help Guides
Video
Blog

Media

Vertex AI Core Features

Focus of Artificial Intelligence Feature

Chatbot
Data Ingestion
Decision Making
Natural Language Processing
Machine Learning
Multi-Language
Predictive Analytics
Speech recognition
Virtual Assistant
Visual Search
Workflow Automation

Vertex AI Pricing

Pricing Type

Free

Payment Frequency

Monthly Payment

Vendor pricing page

Vertex AI Reviews

4
Total Reviews

5.0/5
Overall Rating

0
Recent Reviews

What Users Say

Streamlining AI Workflows with Agent Builder

Emily Roberts , AI Product Manager at AI-driven Insights

Enterprise-Grade AI Development with MLOps Excellence

Rajesh Kumar , Head of Data Science at DataVision Analytics

Accelerating AI Innovation with Gemini on Vertex AI

Sophia Lin , AI Research Scientist at DeepThink AI

A One-Stop AI solution for Enterprise Innovation

Daniel Carter , Lead Machine Learning Engineer at AI Tech Solutions

What Users Like The Most

The depth of tools and integrations for AI model development, testing, and deployment is unmatched.
The combination of Gemini’s advanced reasoning with Vertex AI’s infrastructure makes prototyping and deployment incredibly efficient
Tools like Model Registry and Feature Store ensure AI governance and efficiency.

What Users Like The Least

A more intuitive UI for beginners would make it easier for new team members to get started quickly.
Would love to see more granular control over API request pricing for high-scale deployments
Some of the advanced features require more documentation for teams

Vertex AI Reviews

5.0 4 Reviews

Emily Roberts, AI Product Manager at AI-driven Insights

Posted 11 months ago

Streamlining AI Workflows with Agent Builder

The Agent Builder of Vertex has been instrumental in accelerating the development of AI-powered applications. The no-code interface allows our team to quickly build and test generative AI agents without deep ML expertise. The ability to integrate custom data sources ensures that our AI models remain relevant and highly specific to our use cases. With Vertex AI Studio, we can fine-tune prompts and generate high-quality responses across various modalities. The scalability and enterprise-grade security features make this platform ideal for AI-driven innovation

What was the project name that you have worked with Vertex AI?

Artificial Intelligence Software

How long have you used Vertex AI?

5 Months

How frequently you use Vertex AI?

Weekly

How do you find pricing of Vertex AI?

mid-tier

What do you like the most about Vertex AI?

Agent Builder allows even non-technical teams to create powerful AI applications without any coding knowledge.

What do you like the least about Vertex AI?

More pre-built templates for different industry use cases would be beneficial

Rating Breakdown

Ease of Use
Features
Customer Support
Overall Rating

Rajesh Kumar, Head of Data Science at DataVision Analytics

Posted 11 months ago

Enterprise-Grade AI Development with MLOps Excellence

Vertex AI provides an end-to-end AI platform that makes managing machine learning pipelines effortless. The integration with BigQuery allows for seamless data preprocessing, and the Model Registry ensures version control and model tracking. The Feature Store is particularly useful for reusing engineered features across different ML projects, reducing redundancy and improving efficiency. With Vertex AI Pipelines, we’ve automated our workflows, from data ingestion to real-time deployment. The infrastructure optimizations and security features make it a no-brainer for enterprises looking to scale AI-driven solutions.

What was the project name that you have worked with Vertex AI?

Artificial Intelligence Software

How long have you used Vertex AI?

12 Months

How frequently you use Vertex AI?

Daily

How do you find pricing of Vertex AI?

mid-tier

What do you like the most about Vertex AI?

Tools like Model Registry and Feature Store ensure AI governance and efficiency.

What do you like the least about Vertex AI?

Some of the advanced features require more documentation for teams

Rating Breakdown

Ease of Use
Features
Customer Support
Overall Rating

Sophia Lin, AI Research Scientist at DeepThink AI

Posted 11 months ago

Accelerating AI Innovation with Gemini on Vertex AI

Vertex AI’s integration with Gemini models is a game-changer for building multimodal AI solutions. The Vertex AI Studio provides an intuitive interface to experiment with text, image, and code generation, while Agent Builder makes it easy to create AI-driven applications with minimal effort. The MLOps capabilities streamline everything from data preprocessing to model deployment, significantly reducing development cycles. Additionally, the availability of 160+ foundation models and custom tuning options allows us to tailor solutions to our specific enterprise needs. Google Cloud has built an AI ecosystem that’s truly future-proof.

What was the project name that you have worked with Vertex AI?

Artificial Intelligence Software

How long have you used Vertex AI?

7 Months

How frequently you use Vertex AI?

Weekly

How do you find pricing of Vertex AI?

mid-tier

What do you like the most about Vertex AI?

The combination of Gemini’s advanced reasoning with Vertex AI’s infrastructure makes prototyping and deployment incredibly efficient

What do you like the least about Vertex AI?

Would love to see more granular control over API request pricing for high-scale deployments

Rating Breakdown

Ease of Use
Features
Customer Support
Overall Rating

Daniel Carter, Lead Machine Learning Engineer at AI Tech Solutions

Posted 11 months ago

A One-Stop AI solution for Enterprise Innovation

Vertex AI has completely transformed the way we build, deploy, and manage AI models at scale. The seamless integration with Gemini models and Model Garden allows us to test and fine-tune both proprietary and open-source models with ease. The Vertex AI Studio simplifies prompt engineering for generative AI applications, while MLOps tools like Feature Store and Model Registry ensure smooth end-to-end lifecycle management. Google’s infrastructure ensures low-latency inference, and the automated model monitoring capabilities provide critical insights into drift and performance. Whether it’s training multimodal models or orchestrating pipelines, Vertex AI is hands down the best AI platform we’ve used!

What was the project name that you have worked with Vertex AI?

Artificial Intelligence Software

How long have you used Vertex AI?

9 Months

How frequently you use Vertex AI?

Daily

How do you find pricing of Vertex AI?

mid-tier

What do you like the most about Vertex AI?

The depth of tools and integrations for AI model development, testing, and deployment is unmatched.

What do you like the least about Vertex AI?

A more intuitive UI for beginners would make it easier for new team members to get started quickly.

Rating Breakdown

Ease of Use
Features
Customer Support
Overall Rating

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