Gemini
Long-context models, and the default inside Google Cloud.
- made by
- source
- Official Gemini site
Magic Ship is one shop in Vancouver, BC, working remotely with clients worldwide. We are not a partner, reseller, or certified vendor of Google - we just build with this.
What Gemini is
Gemini is Google's multimodal model family, reachable through the Gemini API and through Vertex AI for Google Cloud customers. The models take text, images, audio, and video, and the larger context windows are among the biggest on offer. Tool calling and constrained JSON output are supported.
How we use it
We reach for Gemini when a task is genuinely multimodal - scanned PDFs, screenshots, recordings - and when a client's data already lives in Google Cloud, where Vertex keeps it. It also gets a slot in bake-offs: the same prompts and the same eval set run against Claude, GPT, and Gemini before anything becomes the default.
Where it is the wrong choice
A long context window is not free accuracy. On our retrieval work, pasting a whole corpus into the window still loses to targeted retrieval with reranking, and it costs more per call. The API surface also differs enough from the OpenAI-shaped ones that switching later is real work.
Service lines it turns up in
Related tools
More in Model providers
Other tools in the same service lines
Building something on Gemini?
Send the problem rather than a job spec. You get an answer on scope, on fit, and on whetherGemini is even the right call for it.
Start a projectGemini and Google are trademarks of their respective owners, used here to say what we work with.