Compare editions of Gemini Enterprise

Gemini Enterprise offers a range of AI-powered solutions designed to meet diverse organizational needs. These solutions are organized into distinct editions, each providing a specific set of features and capabilities tailored to different use cases and stages of AI adoption. This page describes these editions to help you choose the right solution for driving productivity and innovation in your organization.

Compare features

To compare features and capabilities of different Gemini Enterprise editions, see the following table.

Feature Gemini Enterprise Business Gemini Enterprise Standard Gemini Enterprise Plus Gemini Enterprise Pay-as-you-go Gemini Enterprise Frontline
Seats 1-500 users 1 or more users 1 or more users 1 minimum seat requirement to get started 150 or more users of Standard or Plus editions
Storage and data indexing per user1 25 GiB, pooled 30 GiB, pooled 75 GiB, pooled Pay-as-you-go 2 GiB, pooled
Access select, segment-relevant connectors
Access the full data connector ecosystem
Use permission-aware enterprise search
Ground based on enterprise data from Google data sources and third-party data sources
Get priority access to the latest Gemini models
Get answers incorporating blended search and text generation
Generate media (images and videos)
Use Ground with Google Search
Use Web Grounding
Use permission-aware prebuilt tasks and agent actions
Chat with published Gemini Notebook Enterprise notebooks
Create and publish Gemini Notebook Enterprise notebooks
Build and publish custom no-code agents using Gemini Enterprise no-code tools (preview)
Use custom no-code agents built using Gemini Enterprise no-code tools (preview)
Create and upload custom skills
Use Google-managed skills and user-created skills shared with you 2
Use Deep Research (Made by Google)
Use Data Insights (Made by Google)
Use your own full-code agents built outside of Gemini Enterprise 3
Access the Agent Marketplace
Access basic agent governance and administration
Enterprise-grade security and compliance
AI developer tools4
Google Cloud console access5

1 Storage and data indexing quotas are pooled across all users in a project and location, regardless of edition. Other feature quotas are pooled within each edition.

2 Gemini Enterprise Frontline users can install skills themselves from Browse skills. They can't create or upload custom skills. For more information, see Create and manage skills.

3 With Gemini Enterprise Frontline, users can only access previously-developed agents that have been provisioned for them by their administrator.

4 To configure and use AI developer tools, your project must be linked to a Cloud Billing account. Included monthly seat credits apply strictly to first-party Gemini models. When an administrator enables partner models (Anthropic models—Claude Opus 5.5 and Claude Sonnet 5.5) in Configure AI developer tools settings, partner model usage is billed as pay-as-you-go usage. If you use a license-based edition, you must turn on pay-as-you-go usage above quota. With a self-serve (online) billing account, usage is paid from prepaid credits; with an invoiced billing account, usage is billed on the monthly invoice. Usage is subject to your project's monthly spend limit. For more information, see AI developer tools overview.

5 Gemini Enterprise Business edition is a software as a service (SaaS) application accessible through the web at business.gemini.google. As a result, administrators don't need access to the Google Cloud console, and there are no project numbers or project-level IAM roles to manage.

Gemini Enterprise compared to consumer Gemini

The following table summarizes the key differences between Gemini Enterprise and the public consumer Gemini web application (gemini.google.com):

Capability Gemini Enterprise Consumer Gemini (gemini.google.com)
Data privacy and model training Customer prompts, responses, and enterprise data are not used to train foundation models. Governed by Google Cloud enterprise privacy terms. Governed by consumer terms of service; interactions may be reviewed and used to improve Google products and models depending on consumer account settings.
Identity and access management Managed by enterprise administrators using IAM, Workforce Identity Federation (SSO), and source-system access control lists (ACLs). Individual consumer Google Accounts (@gmail.com).
Security and compliance Supports VPC Service Controls, Customer-Managed Encryption Keys (CMEK), Data residency (us, eu, global), Access Transparency, and Cloud Audit Logs. Consumer-grade security controls; no enterprise VPC perimeter, CMEK, or audit logging.
Enterprise data grounding Built-in connectors (data ingestion, federated search, and actions) for enterprise systems such as Jira, Confluence, ServiceNow, SharePoint, and Google Cloud data stores. Grounded primarily on Google Search and personal consumer extensions.
Administration and customization Project-level administration in the Google Cloud console, custom assistant instructions and grounding thresholds, model availability controls, and custom agent deployment. End-user interface with no organizational policy or project-level administrative controls.
Support and SLAs Backed by Google Cloud Service Level Agreements (SLAs) and Cloud Customer Care. Supported through the consumer Gemini Apps Help Center; not covered by Google Cloud Customer Care.

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