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The Gemini Ecosystem: A Guide to Google’s AI Naming

By Joshua FoxMay 14, 20267 min read

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AI is changing rapidly, and so are Google’s AI cloud products. The brand-name element “Gemini” is spreading too, into the names of completely different products.

Model

Originally, “Gemini” referred specifically to a family of Generative AI Large Language Models (LLMs). Today, the name also identifies an entire ecosystem of services, as I detail below.

Gemini API

I will start with the Gemini API, managed via Google AI Studio. It provides a "quick and easy" entry point for developers to access APIs. It is designed in competition with other standalone GenAI providers like OpenAI and Anthropic for developers who don’t want to bother with the complexity of the cloud.

Do not use the Gemini API service for anything beyond quick tests! I have often seen Gemini API keys run up huge bills through mistaken usage. If you are reading this blog post, you probably work in the cloud and handle it – and you can reach out to DoiT for advice. Moreover, Gemini API and AI Studio are community supported -- in other words, not supported by Google.

Users of the Gemini API often are hit with runaway costs: Extreme, sudden charges are unfortunately common with AI, whether caused by your own code or hackers. Google does not refund these costs. This can be controlled with security (don’t let hackers gain access) and monitoring (keep an eye on cost spikes).

For professional applications, we recommend the Gemini Enterprise Agent Platform (formerly Vertex AI) within GCP. It provides the "enterprise-strength" features essential for scaling projects effectively. More on that below.

Google Cloud AI Suite

Gemini Enterprise Agent Platform (Formerly Vertex AI)

In April 2026, the Vertex AI suite, which aggregates the AI services in Google Cloud Platform, was renamed “Gemini Enterprise Agent Platform”. (“Agent” is another fast-spreading branding element!)

(Note on history: Vertex AI itself emerged alongside the “AI Platform” suite back in May 2021, until AI Platform was eventually consolidated into Vertex AI. The string aiplatform still occurs in some cloud libraries.)

Comparison to Gemini API

Although the Gemini API is good for quick POCs, any extended use quickly runs into requirements for the rich features of the GCP’s Gemini Enterprise Agent Platform.

  • Security: In all remote API calls, you should not use API keys, but rather service accounts. API key strings often leak, even if you think you are protecting them. Because AI services are in hot demand and can be used statelessly for any purpose, hackers rapidly run up high costs. Gemini API does let you use service accounts through GCP – but if you are going that far into cloud use, you may as well get full integrated cloud functionality. To detect and remove these keys -- each of which is a risk -- you can use the gcp-apikey-check open-source project, developed by a colleague at DoiT.
  • Monitoring: Gemini API and its AI Studio have very limited monitoring; you will quickly find a need for the powerful Cloud Monitoring suite, which offers custom dashboards, alerts, log analytics, and more. Such monitoring is essential for controlling costs and monitoring for security breaches. (And a plug here for our services: DoiT International offers cost anomaly detection, which applies AI to detect cost spikes that are likely problems, without any distractions from false-positive alerts on expected usage.)
  • Authorization: GCP IAM offers roles and permissions so that you can control the usage of your AI services at a fine-grained level.
  • Governance: In contrast to the Gemini API, GCP offers SLAs and compliance certifications.
  • Integration with GCP: You will find yourself using other GCP services, starting with IAM, and proceeding to Cloud Storage, compute offerings, and more. The Gemini Enterprise Agent Platform integrates tightly and smoothly with these.
  • Granular Attribution of Cost: With Gemini Enterprise Agent Platform, you can label each invocation, letting you track exactly where and how your models are generating value.
  • AI Studio: Like Gemini Enterprise, Gemini Enterprise Agent Platform has its own “AI Studio” for chat. Both are intended primarily for engineers working in the cloud rather than end-users.
  • Model choice: Gemini Enterprise Agent Platform offers a broader array of models, including models from other providers, like Claude.
  • Tiered Pricing Optimization: A "Flash-First" strategy—where simple tasks are routed to Gemini Flash—can give a massive reduction in per-request costs.
  • Context Management: “Long Context” pricing (strings over 200k tokens) gets very expensive. GCP offers Context Caching management, which can cut your input token costs by half for repetitive prompts.

Gemini Enterprise: The AI App Builder

GCP also has the "Gemini Enterprise" service. This is not the same as the broader suite, Gemini Enterprise Agent Platform.
Gemini Enterprise is a service for exposing custom apps that provide AI-driven chat on top of enterprise data sources. It offers access to multiple enterprise "Data Stores,” including not only GSuite sources like Google Drive, but also BigQuery, Jira, and more.

It features an Agent Builder for developing complex Agents that embody the complex logic and workflows of these apps.
Earlier, Gemini Enterprise went under the name “Agentspace,” using the “Vertex AI Search and Conversation” infrastructure.

Non-GCP

In addition to the cloud developer platforms, the brand “Gemini” also appears elsewhere outside of GCP.

Workspace

Since early 2025, “Gemini” and AI are not separate services or add-ons in Google Workspace but rather bundled directly into it. For example, the Gemini model provides AI-driven suggestions in Google Docs and Gmail.

Workspace offers different levels of AI functionality attached to its existing tiers. When you see the word "Enterprise" (like Enterprise Standard or Enterprise Plus) in the context of Google Workspace, this designates a tier, not a distinct service.

The last purchasable AI add-on to Google Workspace: “Ultra,” which gives advanced AI access, will be retired in July. Users will be transitioned to AI Expanded Access

Gemini App

The Gemini App is a user interface available to anyone with a Google account, similar to Gmail. (Note: It is now called the Gemini App, not Gemini Assistant or Gemini Chat.) When the Gemini App is used in the context of a paid Google Workspace account, it offers enhanced functionality and admin controls.

The Gemini App is distinct from Gemini Enterprise Apps:

  • Gems vs. Agents: The Gemini App has simple, predefined functionality, though it can be augmented with simple “Gems”. The Agents of Gemini Enterprise allow the development of more complex functionality for Gemini Enterprise Apps.
  • The Rule of Separation: Gems created in the Gemini App cannot be used in an App deployed from Gemini Enterprise. Conversely, if you create an advanced Agent using Gemini Enterprise, it cannot be used in the consumer Gemini App.

Summary Table of “Gemini”-branded AI Services

Current Product Name Part of Older Name/Service When to Use It
Gemini API Standalone Quick-and-easy API access for simple tests, but lacks powerful cloud “enterprise strength” features.
Gemini Enterprise Agent Platform Google Cloud Vertex AI, AI Platform Build, scale, and manage AI and machine learning in a full-featured cloud environment.
Gemini Enterprise Google Cloud Agentspace Define complex Agents with subagents and complex workflows, exposed to users in Apps and backed by Data Stores.
Agent Builder Google Cloud Agent Builder Developing and defining complex Agents within Gemini Enterprise.
AI Functionality in Workspace Google Workspace Gemini add-on to Workspace AI functionality is today bundled into Workspace without designation as a separate service; upgradable through Workspace tiers.
Gemini Ultra Add-on Google Workspace The one remaining Gemini add-on for Google Workspace, providing advanced AI access. To be retired July 2026. Users will be transitioned to AI Expanded Access.
Gemini App Public / Workspace Bard, Gemini Chat AI chat, augmentable with simple “Gems”, but distinct from the more customizable Gemini Enterprise apps.
Gemini Model Underlying tech Variants under many names, but “Gemini” is the core name. The core LLM invoked across all these services for chat, reasoning, or coding.