> ## Documentation Index
> Fetch the complete documentation index at: https://docs.tess.im/llms.txt
> Use this file to discover all available pages before exploring further.
# Tess 6.1
Tess 6.1 offers an agentic orchestration experience of different models for the execution of a single complex task. You give your prompt and, instead of using just one LLM to respond to your request, this model activates a Multi-LLM architecture in a single request: multiple models work in a chain, collaboratively, reviewing and refining each other's work before you receive the final response.
In practice: you ask a question as you always do. Behind the scenes, different AI models discuss, refine, and consolidate a joint response — and you receive the result ready, in a single message.
### **What is Tess 6.1**
Tess 6.1 is an orchestrated model of robust collaboration between LLMs, designed to:
* combine the strengths of different models
* reduce errors and contradictions in complex tasks
* deliver more consistent, structured, and "thought-through" responses with a single prompt
When you select it in the chat, Tess:
* activates the Multi-LLM mechanism for that message
* coordinates collaboration between multiple state-of-the-art models
* returns a single, already consolidated response, also presenting the entire chain of reasoning from each model throughout the delivery flow
When to use Tess 6.1 (and when you don't need to)
* The topic is complex or strategic
* You need "thought-through" and well-structured responses
* There are multiple reasoning steps involved
* The task is quick and simple
* The focus is cost/speed, not depth
* Exploring ideas without rigor
**Important**
* Even though it is Multi-Model, this does not replace human validation on critical topics (legal, financial, medical, high-impact decisions).
* It will naturally take a few extra seconds to generate the final response, due to the nature of the model.
* It is not the best option for quick and low-cost tasks (short responses, minor adjustments).
* Because it uses multiple models, any differences in "style" between them are harmonized, but may appear in very extreme tone/style requests; if this occurs, be very specific about the desired tone.