What is the difference between Gemini Enterprise and Vertex AI?

Vertex AI is now the 'Agent Platform' for technical developers to code and govern complex AI, while Gemini Enterprise App is a subscription-based service for business users to run no-code agents.

Is my data used to train Google's models?

No. By default, Google Cloud does not use customer data submitted to Vertex AI to train its foundation models.

What is the maximum context window for Gemini models on Vertex AI?

The flagship Gemini 3.1 Pro and 2.5 Pro models support a context window of up to 1 million tokens for complex reasoning.

Does Vertex AI support third-party models?

Yes, through the Model Garden, you can access and deploy models from partners like Anthropic (Claude) and Mistral, as well as open-weights models like Llama and Gemma.

What is the cost for AI Search in Vertex AI?

Standard queries are billed at $4.00 per 1,000 queries, while Advanced LLM queries are $6.00 per 1,000 queries.

Does Vertex AI provide a free tier?

Yes, new customers get $300 in credits. Additionally, some services like Vertex AI Search offer a limited free monthly quota (e.g., 10,000 queries).

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Large Language Models

Freemium

Vertex AI

Google's unified AI platform for building, deploying, and scaling enterprise-grade generative and predictive AI models, including the Gemini 3.1 family and autonomous AI agents.

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Rating

Reviews

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4 months ago

Listed

LLM

MLOps

Generative AI

AI Agents

Machine Learning

Computer Vision

AutoML

Model Deployment

Enterprise AI

Vector Search

Tool information

Provider

Google Cloud

Platforms

Web

Google Cloud Console

API

Vertex AI Workbench

Languages

English

Spanish

French

German

Chinese

Japanese

Korean

Portuguese

Italian

Hindi

Over 140 languages via Gemma 3

API Available

Yes

Added to directory

4 months ago

Last updated

3 months ago

Rating

Not available

Pricing

Freemium

About Vertex AI

What the tool does and who it's for

Vertex AI is Google Cloud's unified machine learning platform designed to help developers and data scientists build, deploy, and scale AI models. It integrates specialized tools for the entire ML lifecycle, including the Model Garden with over 200 foundation models like Gemini 3.1 and 2.5, Claude, and Llama. In 2026, the platform has evolved into the foundational 'Agent Platform' for the Gemini Enterprise ecosystem, offering advanced agentic capabilities, MLOps automation, and low-code builders like Agent Studio. It supports multimodal workloads across text, image, audio, and video, providing enterprise-grade security, data governance, and seamless integration with BigQuery and Cloud Storage.

Key capabilities

Model Garden: Access to 200+ curated models including Gemini, Claude, and Llama.

Vertex AI Agent Builder: Low-code and no-code tools for creating autonomous AI agents.

Gemini 3.1 Integration: Support for high-capability models with up to 1M token context windows.

Managed Pipelines: Automate and orchestrate ML workflows using Kubeflow or specialized SDKs.

Vertex AI Studio: A collaborative environment for rapid prototyping of prompts and multimodal apps.

AutoML: Train high-quality models for image, video, and tabular data without writing code.

Vector Search: High-scale, low-latency similarity search for generative AI grounding.

Model Monitoring: Detect drift and training-serving skew in real-time to maintain model accuracy.

Enterprise Security: Built-in VPC Service Controls, CMEK, and HIPAA compliance.

Vertex AI Workbench: Integrated JupyterLab environment for data science and experimentation.

Pricing

Freemium — plans below

Free Trial

$300 in Google Cloud credits for new users
Access to most Vertex AI services
90-day credit validity
Limited free tier for certain AutoML products

Pay-as-you-go (Generative AI)

Custom & Specialized Training

Usage-based

AutoML Training: ~$21.25 per node-hour
A100 GPU: ~$2.93 per hour + management fee
H100 GPU: ~$9.80 per hour + management fee
1-year and 3-year Committed Use Discounts (CUD)

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