An agent makes hundreds of small decisions during a task.
We built Mouse-1 to handle these decisions, saving you time and money. Its 163x cheaper, and 65x faster than GPT-6 Sol.
It works by adding the model directly into your agent harness alongside your current stack.
Mouse-1 takes the agent's state and options and returns a probability. This lets the harness handle all the small decisions while the main frontier model takes care of the reasoning or code.
