Skip to main content
Every conversation runs on a Cortex model. The chip under the composer — Cortex 1 Mini · Preview · Thinking Low by default — is where you change it. The choice belongs to the conversation: existing threads keep the model they were created with, and new chats start from the default.
Model picker — Cortex 1 Mini and Cortex Teutonic-1 in Preview, Thinking Low / Medium / High, and Deep Research

The model chip opened: two preview models, the Thinking level, and the Deep Research toggle.

What you can pick

The composer model chip is a Chat control. Web Code has no model picker; the CLI has its own /model picker with the same family under English names (Cortex Mini 1, Cortex 1, Cortex Max 1) — see CLI modes.
Settings → Models — Cortex 1 Mini, Cortex Teutonic-1, Cortex-Image-1, default thinking level, reasoning summaries

Settings → Models lists the same models with their context windows and capabilities.

Thinking level

Low, Medium, or High. Higher thinking spends more time before answering and suits multi-step reasoning, careful writing, and anything where a wrong first draft is expensive. Low is right for quick questions. The level is per conversation; a saved default under Settings → Models is marked coming soon. Show reasoning summaries (also coming soon in Settings) displays a short summary of the model’s thinking above each answer.

Deep Research

The toggle at the bottom of the chip turns a conversation into a research run: plan the questions, read live sources, and write a cited report. It is a Chat feature only. See Deep Research.

How a turn uses the model

  1. You pick the model on the conversation.
  2. Chat assembles the prompt — your message, attachments from Library, memory, project instructions, tool results — and clamps generation so prompt plus output fit the model’s context window.
  3. The model runs the tool loop until it stops or reaches Chat’s round budget. See How Chat works.
Completions for Teutonic use their own upstream. If that upstream is not configured on a deployment, the request fails closed before any quota is spent and never falls through to Mini.

Availability and peak hours

Model availability depends on your plan. During peak hours new chats may fall back to a faster model; the chip always tells you which model is serving the conversation. Go and higher plans get priority when the fleet is busy — see Plans.

What this page is not

There is no public inference API on this site. Model names here are product names inside Cortex Chat, not endpoints. See Coming soon.