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Google Cloud’s Gemini agent offering spans two different products: Gemini Enterprise, where employees find and use agents, and Gemini Enterprise Agent Platform, where technical teams build, deploy, and govern them. Availability depends on edition, rollout eligibility, and location. Costs can include seats and usage charges for models, grounding, compute, memory, and storage—so there is no single price for a “Gemini agent.”
What does “Google Cloud Gemini agents” mean?
The phrase can refer to either an employee-facing application or a developer platform. They are related, but they serve different users and have different availability and cost considerations.
| Product | Who it is for | What it does |
|---|---|---|
| Gemini Enterprise app | Employees, with administrators controlling access | Provides a place to discover and use Google-made, organization-created, and partner agents. Employees can also create workflows using Workflow Builder when an administrator enables it. Google’s Gemini Enterprise overview |
| Gemini Enterprise Agent Platform | Developers and administrators | Provides services for building, deploying, and governing agents. Google describes it as the evolution of Vertex AI. Google Cloud Agent Platform |
Access to an agent is not the same as the ability to create one. The app may expose agent experiences, while agent creation and workflow tools depend on enabled features and administrator controls.
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Is Gemini Enterprise available to my organization?
Not every edition or feature is available to every organization. Google’s product information marks some features as available in Standard and Plus editions. The separate pay-as-you-go edition is described as eligible for organizations with 20 or more seats, but Google says it is gradually rolling out to a limited group. Treat that as an eligibility condition, not a guarantee that any organization meeting the seat threshold can sign up. Google Gemini Enterprise product page
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The pay-as-you-go edition has a $0 seat fee under the stated 20-or-more-seat condition, but usage charges still apply. Google also says Gemini Notebook is not currently included in that edition. Confirm your organization’s access and included features with Google before planning deployment.
Where can the Agent Platform run?
Agent infrastructure features—including runtime, sessions, memory, sandboxes, and Agent Gateway—have supported-location documentation. Model endpoints have a separate location list, so a supported infrastructure region does not by itself establish that every model is available there. Check the location information for the specific service and model you intend to use. Agent Platform supported locations and model endpoint locations
Google says global model endpoints may offer higher availability and reliability than single-region endpoints, but they do not guarantee data residency or in-region machine-learning processing. If your organization has residency requirements, verify the exact service, endpoint, and processing arrangement rather than assuming a global endpoint keeps data in a particular region.
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Which integrations and agent options are documented?
Prebuilt enterprise connectors
Google identifies prebuilt connectors for Confluence, Jira, Microsoft SharePoint, and ServiceNow. The product materials describe permissions-aware access to enterprise information. This is an example list, not a complete connector catalogue: check the current documentation for the edition, setup requirements, and supported content types for each connector. Gemini Enterprise connectors
Partner and organization-built agents
Gemini Enterprise materials describe a partner-agent marketplace and administrator controls over which partner-built agents employees can access. Google also describes interoperability work around the Agent2Agent (A2A) protocol. Neither a marketplace listing nor protocol work means every third-party agent is compatible with, or enabled in, every organization’s environment. Confirm the specific agent and tenant requirements.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How much do Google Cloud Gemini agents cost?
Costs depend on which product and features you use. The app’s seat arrangement is only one part of the picture; Agent Platform usage can add model inference, grounding, compute, memory, and storage charges. Google’s live pricing tables vary by model, input or output type, context, endpoint, and configuration. Generative AI pricing
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Pay-as-you-go edition
For the pay-as-you-go Gemini Enterprise edition, Google lists a $0 seat fee for organizations with 20 or more seats, with charges for usage such as tokens, memory, compute, and storage. The edition is in limited rollout, and the zero seat fee does not make total use free. Google Gemini Enterprise product page
Model inference and grounding
Model inference is billed according to the selected model and its pricing dimensions; check the current table for the endpoint and usage pattern you expect. Google’s pricing page, retrieved October 9, 2026, listed 5,000 Google Web Search and Image Search grounding queries per month at no charge, aggregated across Gemini 3 models, then $14 per 1,000 excess queries. The page describes billing per individual query. These vendor-published rates are time-sensitive; verify the live pricing page before relying on them for a budget. Generative AI pricing
Agent infrastructure
Google’s Agent Platform pricing page, retrieved October 9, 2026, listed Agent Compute at $0.085 per vCPU-hour for Agent Gateway request processing and Memory Bank storage at $0.30 per GiB-month, alongside operation-based charges. These are configuration-dependent vendor rates, not a complete estimate of an agent’s total cost. Check the current page for the applicable service, billing basis, and effective dates. Gemini Enterprise Agent Platform pricing
Quick Recap
What should buyers verify before budgeting?
- Identify the product and edition. Establish whether employees need the Gemini Enterprise app, developers need Agent Platform, or the organization needs both; confirm edition, seat count, and rollout eligibility.
- List the agents and connectors. Check which Google-made, organization-created, or partner agents are enabled, and verify connector setup, permissions, and supported content.
- Select model and location. Confirm model endpoint availability and infrastructure locations separately. Validate any data-residency or in-region processing requirement.
- Estimate usage drivers. Forecast model tokens and grounding queries, then account for runtime compute, memory operations, and storage as applicable.
- Confirm current commercial terms. Recheck Google’s current price tables and ask Google to confirm edition access, rollout eligibility, and any organization-specific terms.
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
