Google Gemini
Google's multimodal models, strong on long documents and images.
Why us on this
Gemini handles long documents, scans and images in one pass, and is a sensible option where a client is already on Google Cloud or Workspace. We evaluate it against the same test set as every other candidate and keep it behind the same interface, so it is chosen on results, not habit.
More in AI models
The other tools we reach for on the same kind of work.
OpenAI GPTOpenAI
OpenAI's large language models, used through the API.
Runs open-weight language models on your own hardware.
Google's open-weight language models, run on-premise.
High-throughput serving for open-weight models.
Anthropic's Claude models, used through the API and in our own engineering.
Alibaba's open-weight model family, from small to very large.
xAI's Grok models, available through an API.
Capable open-weight general and reasoning models.
Talk to us
Already running Google Gemini?
Tell us what it is doing today and where it stops. We will say plainly whether we can move it, what that takes, and when it is the wrong tool for what you are trying to do.
