Google's frontier model — native multimodality, the biggest context windows, and a home-field advantage on Google Cloud.
Gemini is Google DeepMind's model family, built multimodal from the ground up: video, audio, images and text in one model rather than bolted-on adapters. Its context windows are among the largest in the industry, and through Vertex AI it plugs directly into the Google Cloud and Workspace estate many enterprises already run on.
We reach for Gemini when the input isn't text: analysing video walkthroughs, processing audio, reading mixed-media archives. For clients on Google Cloud, Vertex AI keeps data inside their existing trust boundary — which often decides the choice before benchmarks do.
Gemini against the two labs it's usually shortlisted with — where scale and multimodality win, and where they don't.
| Dimension | Gemini | ChatGPT / GPT | Claude |
|---|---|---|---|
| Made by | Google DeepMind | OpenAI | Anthropic |
| Strongest at | Video/audio understanding, giant context | Ecosystem breadth and consumer reach | Agentic coding and careful reasoning |
| Context window | Largest advertised in the industry | Strong | Excellent recall at long lengths |
| Multimodal | Native — video, audio, image, text in one | Broad — strong vision and voice modes | Vision-capable, text-first |
| Enterprise story | Vertex AI + Workspace integration | Azure OpenAI | Bedrock / Vertex availability |
| Pricing | Aggressive at the mid-tier | Premium, falling | Premium |
Gemini is our pick for multimodal-heavy products and Google-committed enterprises. For pure code and agent work we still measure it against Claude — and routing the right task to the right model is exactly the kind of engineering we're paid for.
Tell us what you're building — we'll tell you honestly whether Gemini is the right tool for it.