Google DeepMind and Gemini: A Plain-English Overview for Users

Google Gemini is the family of AI models, and the assistant app, built by Google DeepMind, Google’s AI research lab. Gemini powers the Gemini app, shows up across many Google products, and is available to developers through an API and Gemini CLI, an open-source command-line agent. DeepMind is also known for research breakthroughs such as AlphaGo and AlphaFold.

This guide untangles the names and explains how you can use Gemini, and Google’s open Gemma models, in your own work.

Google DeepMind in one paragraph

Google DeepMind is the lab inside Google responsible for its most advanced AI research and models. It builds the Gemini models that Google uses across its products, publishes scientific research, and develops AI systems for science, such as tools that help researchers study biology. In short: Google is the company, DeepMind is its AI lab, and Gemini is the main family of models that comes out of it.

Gemini: models and app

The word “Gemini” is used for two related things, which is a common source of confusion.

The Gemini models

Gemini is a family of large AI models designed from the start to be multimodal, meaning they work with text, images, audio, video and code. Like other model families, it comes in several sizes, from larger models for demanding work to smaller, faster ones for quick tasks and devices.

Gemini models are known for handling large amounts of context at once, which is helpful when you want an AI to read long documents or a big codebase in one go.

The Gemini app

The Gemini app is Google’s AI assistant, available on the web and on mobile. You can ask questions, write and edit, plan, analyze images and files, and get help with code. Because it comes from Google, it can connect with Google services you already use, depending on your settings and plan.

Gemini inside other Google products

Gemini also appears inside Google’s own tools, for example to help draft emails and documents or to summarize information. If you already use Google’s apps for work or school, you may be using Gemini without opening a separate app.

Gemini for developers

Developers can use Gemini models through Google’s API and cloud platform to build them into their own products. Typical uses include chat assistants, document analysis, summarization and image understanding.

Gemini CLI

Gemini CLI is Google’s open-source command-line AI agent using Gemini models. It works in your terminal: it can read and edit files, run commands and help with coding and other tasks. Because the code is open, you can inspect how it works, and the community can contribute.

You sign in with a Google account or use an API key. For a comparison with Anthropic’s and OpenAI’s coding agents, read Claude Code vs Codex vs Gemini CLI.

Gemma: Google’s open-weight models

Alongside the closed Gemini models, Google publishes Gemma, a family of open-weight models. “Open-weight” means the trained model files are available to download, so you can run them on your own hardware, within the terms of Google’s license.

Gemma models are smaller than the largest Gemini models, which is exactly what makes them practical for laptops and desktops. Many people run Gemma locally through tools such as Ollama. See how to run AI models locally with Ollama for a step-by-step setup.

Gemma sits alongside other open families such as Llama, Qwen and DeepSeek, covered in the open model ecosystem.

DeepMind’s research legacy

DeepMind became widely known for research that showed what AI systems could do in areas once thought far off:

• AlphaGo learned to play the board game Go and defeated top professional players, a milestone many experts had expected to take much longer.
• AlphaFold predicts the 3D structure of proteins from their sequence, a long-standing challenge in biology. Its predictions have become a widely used resource for scientists.

This research focus still shapes the lab. Gemini is the product most people meet, but DeepMind also works on AI for science, games, robotics and more.

How Google compares with other AI companies

Google is unusual in offering both closed and open-weight models: Gemini for its own products and API, and Gemma for anyone to download. Anthropic’s Claude is closed, OpenAI’s main models are closed with some open-weight releases, Meta focuses on open-weight Llama, and Mistral AI offers both.

Google’s biggest practical advantage is integration. If your work already lives in Google’s tools, Gemini is right there. For a full side-by-side, see the overview of the big AI companies.

Using Gemini in AI agents

AI agents plan and carry out multi-step tasks instead of answering a single prompt. Gemini is a natural fit for several agent jobs:

1. Reading a lot at once. Its ability to handle large contexts suits tasks like understanding an unfamiliar codebase or a long specification.
2. Working with images. Multimodal input helps with tasks such as reviewing a screenshot of a user interface.
3. Open tooling. Gemini CLI’s open-source code appeals to teams that want to inspect or extend their tools.
4. Local work with Gemma. For simple or private tasks, a local Gemma model keeps everything on your computer.

Many developers mix models, for example using Gemini to review work written by Claude or Codex. BotQuarters is built around that idea: a team of AI coding agents on your Mac, where each teammate can use Gemini, Claude Code, Codex, OpenCode or a local model through Ollama.

Common misconceptions

• “Gemini and Gemma are the same.” Gemini is Google’s closed model family and assistant; Gemma is a separate family of open-weight models.
• “DeepMind is a separate company from Google.” Google DeepMind is Google’s AI lab.
• “Gemini CLI is only for Google Cloud users.” You can sign in with a regular Google account, and the tool itself is open source.
• “Gemini is just a chatbot.” It is also a model family used across Google products and by developers through the API.

FAQ

What is Google Gemini?

Gemini is Google’s family of multimodal AI models and the name of its AI assistant app. The models, built by Google DeepMind, also power features across Google products and are available to developers through an API and Gemini CLI.

Is Google DeepMind part of Google?

Yes. Google DeepMind is Google’s AI research lab. It builds the Gemini models and is known for research such as AlphaGo and AlphaFold.

Is Gemini CLI free and open source?

Gemini CLI is open source, so the tool itself costs nothing. Using it requires access to Gemini models through a Google account or API key, and the limits depend on Google’s current plans.

What is the difference between Gemini and Gemma?

Gemini is Google’s closed model family, used through its apps and API. Gemma is a family of smaller open-weight models you can download and run on your own computer, for example with Ollama.