Reference
Models
Which models you can put behind a conversation, and when to switch.
Every conversation has a model. The workspace default is used for new threads; you can switch the model on an existing thread without changing that default.
#Choosing a model
Use a deeper model for long contracts, multi-file questions, and anything that must hold a lot of context. Use a faster model for lookups, short drafts and triage. The picker in the thread lists what your plan currently includes.
Typical lineup (names change as providers ship):
- Claude Opus — long context, careful writing.
- GPT — general work and tool use.
- Gemini — long documents and native PDF reading.
- Open-weight options (GLM, Kimi, DeepSeek) when you want a different cost or latency point.
#Sub-agents
On longer jobs the assistant can run researcher and writer sub-agents underneath the main turn. They use the same workspace context and the same confirmation rules — they cannot send or write on their own.
#Data handling
Prompts sent to a provider follow the security retention rule: nothing is kept after the request, and nothing is used to train a model. The AI providers page lists the models and OpenRouter Zero Data Retention settings.