What is Gemini?
Gemini is Google's family of AI models and the assistant built on them, available at gemini.google.com, in the Gemini mobile app, and woven through Google products like Search, Gmail, Docs, and Android.
Two things set it apart: a very large context window (it can take in huge documents, long videos, or whole codebases at once) and native multimodality, where text, images, audio, and video are first-class inputs, not bolt-ons. The Flash models are tuned for speed and cost; the Pro models for depth.
If your work lives in Google Workspace, or you need to reason over very large or mixed-media inputs, Gemini is the natural fit.
What it's best for
- Working inside Google: drafting in Docs, triaging Gmail, building in Sheets, and summarizing across your Workspace.
- Very large inputs: long PDFs, hour-long videos, large transcripts, or big codebases that exceed other models' limits.
- Native multimodal tasks: reasoning over images, audio, and video together in a single prompt.
- Fast, low-cost, high-volume tasks via the Flash models (and the generous free tier).
- Deep Research: having the assistant browse many sources and compile a cited report.
- Developers already on Google Cloud, via AI Studio and Vertex AI.
Where it falls short
- Teams that want open-weight, self-hosted models. Gemini is closed (Google's open releases are the separate Gemma family).
- Those who want a single consistent answer style. Behavior can differ between the consumer app and the API.
- Workflows that must avoid the Google ecosystem entirely.
Getting started
Sign in at gemini.google.com with a Google account, or open the Gemini app on Android/iOS. The free tier is generous and works immediately.
On Android, Gemini can act as the system assistant; in Chrome and Workspace, look for the Gemini side panel to bring it into the app you're already using.
Big context and multimodal prompts
Upload long PDFs, images, audio, or even video and ask questions across all of it at once. The large context window means you rarely need to chunk inputs.
Because multimodality is native, you can mix media in one prompt: 'Here's a slide image and the meeting recording. Reconcile them and list the action items.'
Workspace, Deep Research, and the API
In Gmail, Docs, and Sheets, Gemini can draft, summarize, and transform content in place. Deep Research runs a multi-source investigation and returns a structured, cited report.
For developers, Google AI Studio is the fastest way to prototype with the API for free, and Vertex AI is the production path on Google Cloud.
Getting better answers
Lean on the context window: paste the whole document rather than a summary, and ask Gemini to ground its answer in what you provided.
For current facts, ask it to use Search grounding and cite links. For big research questions, start Deep Research rather than a normal chat.
Privacy across your Google data
In the consumer Gemini app, review the Gemini Apps Activity setting to control whether chats are saved and used to improve services. Google Workspace business and enterprise plans treat your organization's data as confidential and don't use it to train models.
When Gemini works inside Gmail or Docs, it acts on the messages and documents you point it at, so keep the same access discipline you already apply to those files.
What Gemini costs
Approximate, in USD, as of January 2026. Prices change often. Confirm on the official site before you rely on them.
Free
$0
Generous access to a capable model in the app and web, with limits.
Google AI Pro
~$20 / month
Higher limits, the Pro models, Deep Research, and Gemini across Workspace apps.
Google AI Ultra
~$250 / month
Top tier: highest limits, the most capable models, and the largest usage ceilings.
Workspace add-on
Per user / month
Business and Enterprise plans add Gemini across an organization's Workspace.
API
Usage-based
Per-token pricing via AI Studio / Vertex AI; Flash models are notably cheap.
Example prompts
Copy these into Gemini as starting points, then adapt them to your task.
Reason over a long video
Here's a 45-minute recording. Give me a timestamped summary, the key decisions, every action item with an owner, and three follow-up questions worth asking.
Work across a big document
I've attached a 120-page spec. Find every requirement related to authentication, quote the exact lines, and flag any that contradict each other.
Deep Research
Run deep research on the current landscape for the topic below. Compare the main options, cite sources for each claim, and end with a recommendation table.
Summarize a Workspace inbox
Summarize the unread threads in this label: who needs a reply, what they're asking, and a suggested one-line response for each. Flag anything time-sensitive.
Gemini
common questions.
Direct answers to the questions we get asked the most. If yours isn't covered, write to the team.