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Henry is model-agnostic. Admins choose the model and reasoning depth for the workspace in Settings → Models, and can override it per task. Memory lives in Henry, not in the model, so switching models keeps everything Henry has learned. Henry uses the model you picked, full stop. There is no silent failover to a different model.

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Presets

Three presets cover most teams. Each row in the Default model table shows the preset’s model, its reasoning level, and a cost tier from $ to $$$$; expand the row for our take. A workspace that has not chosen runs on Smart.

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Models

Below the presets, the Models rows list the full catalog. Each row carries a cost tier from to $$$$ that compares the model's typical usage cost with the Smart preset (); hover the dollar signs for the exact estimate. Expand a row to pick its reasoning level and make it the default. You are always billed on actual usage. The catalog includes models from Anthropic, OpenAI, Google, xAI, and Moonshot; some entries are served by US inference providers and are marked as such.

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Reasoning levels

Each model accepts a range of reasoning levels: None, Low, Medium, High, Extra high, and Max. Higher levels think longer and cost more per turn. Set the level alongside the model. A level a model does not support is rounded to the nearest one it does.

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Working style

Working style sets how deeply Henry works on each conversation across Slack, Teams, and the web app:
  • Quick: fast answers with a small tool budget. Best for simple lookups. Henry says when a question deserves a deeper pass.
  • Standard: the balanced default, with enough tool calls and thinking for most day-to-day work.
  • Deep: maximum thoroughness. Henry cross-checks, paginates, and uses many tool calls. Slower and costs more per turn.
In the web app, the composer’s mode pill lets you pick Quick or Standard for a single conversation.

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Fast replies

Add !fast anywhere in a Slack message to answer that one message with a cheaper, lower-reasoning model. Choose which model handles fast replies under Fast replies, or leave it on the default.

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Per-task models

Each scheduled task can pin its own model and reasoning level in the task dialog. The default follows the workspace setting. Pinning mechanical tasks to a model priced below your workspace default is the easiest way to cut recurring cost. See Creating tasks.

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Your own model API key

Enterprise workspaces can run Henry on their own Anthropic or OpenAI key. See Bring your own model key.

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Parallel helpers

For large read-only research, Henry can split the work across parallel helpers that each handle a piece and report back. Henry verifies their findings before answering. Helpers cannot write or stage approvals.