SkytellsText modelDeepBrain Router
Routes every request to the strongest model for the job in real time, balancing depth, speed and cost. Built for long, multi-step research.
Model availability and access depend on your workspace and plan.
About the model
DeepBrain Router, explained.
Routes every request to the strongest model for the job in real time, balancing depth, speed and cost. Built for long, multi-step research.
Supported capabilities
- Chat
- Reasoning
- Analysis
- Research
- Coding
- Routing
What you get back. The response appears directly in your Relam chat, where you can continue the conversation.
Capabilities & limits
Inside DeepBrain Router.
Chat
Ask questions, give instructions and continue with follow-up messages in a conversation.
Analysis
Ask the model to examine supplied information and develop a written analysis.
Research
DeepBrain Router lists research among its supported capabilities.
Coding
Use the model for code-focused questions and programming tasks. Review generated code before using it.
Routing
DeepBrain Router lists routing among its supported capabilities.
Context window
DeepBrain Router has a 200,000-token context window. This is the model’s capacity for the text it considers in a request, including prompts and conversation context. Tokens are pieces of text, rather than a word or page count. The amount of context sent by your workspace can be lower.
Questions & answers
More about DeepBrain Router.
Routes every request to the strongest model for the job in real time, balancing depth, speed and cost. Built for long, multi-step research.
Skytells is the vendor behind DeepBrain Router, a text model available in the Relam catalogue.
Ask questions, give instructions and continue with follow-up messages in a conversation.
Ask the model to examine supplied information and develop a written analysis.
DeepBrain Router lists research among its supported capabilities.
Use the model for code-focused questions and programming tasks. Review generated code before using it.
DeepBrain Router lists routing among its supported capabilities.
DeepBrain Router has a 200,000-token context window. This is the model’s capacity for the text it considers in a request, including prompts and conversation context. Tokens are pieces of text, rather than a word or page count. The amount of context sent by your workspace can be lower.
The catalogue sets a maximum output of 128,000 tokens for DeepBrain Router. This is the response budget, distinct from its context window. Responses can be shorter depending on your request and the limits applied by your workspace.
DeepBrain Router is listed as a reasoning-capable model. The catalogue does not list selectable reasoning levels for this model.
Open your Relam workspace and look for DeepBrain Router in the text model selector. Available models, controls and access depend on your workspace and plan.