Google Gemini Enterprise Agent Platform review: Google Cloud's full-lifecycle enterprise agent platform

Answer in brief: Gemini Enterprise Agent Platform is Google Cloud's end-to-end environment for building, scaling, governing and optimizing AI agents. It replaces Vertex AI, and its product page now calls it "Gemini platform". On our market map it is a hyperscaler platform. It offers low-code Agent Studio, a Managed Agents API and the code-first ADK, plus 200+ models, a managed Agent Runtime, per-agent SPIFFE identities and a policy-enforcing Agent Gateway. Pricing is usage-based: Agent Runtime is $0.085 per vCPU-hour and $0.009 per GiB-hour, plus model tokens. The employee-facing Gemini Enterprise Business edition starts at $21/seat/month.

Top pick for developer-built agents with model choice. 200+ models in Model Garden, including Gemini, Anthropic's Claude family and Gemma, with a governance stack (Agent Identity, Registry, Gateway, Model Armor) built for production. Visit Google Gemini Enterprise Agent Platform →

Independent research, last checked November 9, 2026. We have not tested this product hands-on; facts come from Google Cloud's own pages and documentation.

Where it sits on the market map

Google is one of two hyperscalers on this list. The other is AWS AgentCore. Unlike AWS, Google pairs its developer platform with an employee-facing product, Gemini Enterprise, which works across email, docs, code and business apps through over 100 integrations.

What it does for enterprise agents

Build: Agent Studio (low-code), the Managed Agents API (config-driven agents in a managed sandbox) and the Agent Development Kit for multi-agent code. Agent Garden supplies prebuilt agent samples.
Models: 200+ foundation models in Model Garden, including Gemini 4 Argon, Anthropic's Claude family and open models such as Gemma.
Scale: Agent Runtime hosts agents built with ADK or other frameworks. Agent Platform Sessions keep conversation history. Memory Bank provides long-term memory across sessions.
Govern: each agent gets a unique SPIFFE-format Agent Identity that can be granted IAM permissions directly. Deployed agents auto-register in Agent Registry, a catalog of your own, Google and third-party agents and MCP servers. Agent Gateway intercepts calls to tools and other agents to enforce access policies. Model Armor screens prompts and responses for prompt injection, jailbreaks and sensitive-data leakage.
Optimize: Cloud Observability collects traces, logs and metrics via OpenTelemetry, and the Gen AI evaluation service scores agent quality.

Who it fits

Engineering and data teams on Google Cloud, BigQuery-centric organizations, and companies that want model choice under one bill. Business teams can reach agents through Gemini Enterprise.

Strengths that win deals

The broadest model menu of any platform in this guide.
Agent-level identity instead of shared service accounts, with a clear audit trail.
Runtime idle time between prompts is not billed, according to Google's pricing.
New Google Cloud customers get $300 in free credits. Gemini Enterprise Plus has a 30-day free trial.

Honest drawbacks

Products were renamed in 2026. Pages variously say "Gemini platform", "Gemini Enterprise Agent Platform" and legacy Vertex AI, so tutorials can be confusing.
Total cost combines several meters: agent compute, memory, storage, model tokens and other services.
Agent Gateway currently covers Agent Runtime and Gemini Enterprise. GKE, Cloud Run and cross-cloud support is marked coming soon or early preview.
Google says some Gemini Enterprise capabilities, such as background tasks and third-party model choice, are in early access.
Only Gemini Enterprise Business has a public per-seat price.

Pricing model

Agent Runtime: $0.085 per vCPU-hour and $0.009 per GiB-hour of RAM, on demand.
Model tokens, for example Gemini 3.8 Flash (Standard, global): $0.75 input / $3.75 output per 1M tokens through December 31, 2026, doubling to $1.50 / $7.50 from January 1, 2027.
Gemini Enterprise Business: from $21/seat/month. Standard, Plus and Frontline are sold through Google Cloud sales.

Customers and recognition Google cites

Google's product page quotes GA Telesis CEO Abdol Moabery on implementing its generative AI. Google also says it was named a Leader in the Gartner Magic Quadrant for AI Application Development Platforms, Q4 2025.

How to evaluate it

Pick your build path (Studio, Managed Agents API or ADK) based on who maintains the agent.
Confirm Agent Gateway covers your deployment target today.
Model runtime hours, memory and token volume together, and use Google's pricing calculator.

Best alternatives

Amazon Bedrock AgentCore: the AWS equivalent for any framework and model.
Microsoft Copilot Studio: better for low-code builders in Microsoft 365.
OpenAI Agents API: a managed harness built around OpenAI models.

Comparing model hosting rather than agent platforms? See bestinferenceproviders.com.

FAQ

Is Gemini Enterprise Agent Platform the same as Vertex AI?

It replaces Vertex AI. Google's pricing page says the Gemini platform supersedes the legacy AI Platform products, and many documentation links still use vertex-ai paths.

Can I use non-Google models?

Yes. Model Garden lists 200+ models, including Anthropic's Claude family and open models such as Gemma.

How much does Agent Runtime cost?

$0.085 per vCPU-hour and $0.009 per GiB-hour on demand, plus model tokens and other services.

What does Gemini Enterprise cost?

Business starts at $21 per seat per month. Other editions are priced through Google Cloud sales, and Plus has a 30-day free trial.

Sources

Visit Google Gemini Enterprise Agent Platform →

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