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Choosing a model

Every message in chat is answered by the model you currently have selected. Different models trade off speed against answer quality, so Insight AI lets you keep a personal list of models and switch between them at any time.

Select the model name at the top of the chat (or Select Model if none is chosen yet). The dropdown lists Your Models, each with its measured speed in tokens per second (tok/s). Click one to use it for your next message.

The model selector dropdown open at the top of the chat, listing Your Models with speeds and an “Add a model” option

Your personal list starts empty. To add a model:

  1. Open the model dropdown and choose Add a model. The Manage Models window opens.
  2. On the Browse Models tab, search the models your organization has already made available.
  3. Select a model to open the Add Model panel. Optionally record Hardware Notes (for example, which GPU or machine specs you’ve found work well with it).
  4. Select Add Model.

The Manage Models window: the Browse Models tab with a model selected, and the Add Model panel with the Hardware Notes field

The model now appears under My Models and in the chat model selector.

On the My Models tab of the same window you can:

  • Review a model’s stats (tokens processed, total time, speed).
  • Edit Notes to update your hardware notes.
  • Delete Model to remove it from your personal list. This doesn’t affect the organization’s copy or other users.
  • Faster, smaller models respond quickly and are fine for short factual lookups over well-indexed content.
  • Larger models produce noticeably better summaries, reports, and reasoning, at the cost of slower responses (remember answers arrive only when fully generated).
  • The tok/s figure shown next to each model comes from a benchmark run when the model was added to your organization — use it to compare relative speed.

If a model you select has been removed from the organization since you added it, sending a message will fail with a “model not found” error — pick another model or ask a teammate to re-add it on the Models page.