Gemini is Google DeepMind's family of multimodal AI models, launched in late 2023 and now (2026) deeply integrated across the Google ecosystem. The flagship is Gemini 2.5 Pro, with Gemini 2.5 Flash for high-volume cheap inference and Gemini 2.5 Ultra for the heaviest reasoning tasks.
Gemini's distinguishing strengths:
- True multimodality from the ground up — text, image, audio and video are first-class inputs, not bolted on.
- Massive context windows — up to 2M tokens on Gemini 2.5 Pro, matched only by a few competitors.
- Tight Google integration — Gemini in Gmail, Docs, Sheets, Meet, Photos and Android. For Workspace shops, this distribution is decisive.
- Search grounding — Gemini can cite real-time Google Search results, giving it a freshness edge over models limited to their training cutoff.
- NotebookLM — Google's research-and-summary product built on Gemini, especially popular for studying and source-grounded analysis.
Where to access Gemini in 2026:
- gemini.google.com — the consumer app, free tier and Gemini Advanced ($20/mo).
- Google AI Studio — developer playground and prototyping environment.
- Vertex AI — production API with enterprise controls, data residency and fine-tuning.
- Workspace — embedded in Gmail, Docs, Sheets, Meet and Calendar for paying business customers.
- Android and Pixel — system-level assistant on the latest devices, replacing Google Assistant.
For a US business that already runs on Google Workspace, Gemini is often the path of least resistance: the model is already where the work happens. For developer-heavy teams, Gemini's API is competitive on price for high-volume workloads, and Gemini 2.5 Flash in particular has become a go-to for cheap retrieval-augmented generation pipelines.
A nuance worth flagging: Gemini's behaviour can vary noticeably between the consumer Gemini app, Workspace integrations and the Vertex API, even within the same model family, because of different system prompts and safety filters. Teams building products on Gemini should always test against the API surface they intend to ship on, not just the consumer chat. Google has invested heavily in catching up on agentic capabilities and 2026 has seen Gemini close most of the gap to GPT-5 and Claude Sonnet 4 on coding and tool use.
