Long-Horizon Task
A complex task requiring AI agents to execute hundreds of consecutive operations across numerous decision nodes. Such tasks demand persistent memory management, forward-looking planning, and long-term strategic execution capabilities from the model.
Timeline (last 90 days)
Long-horizon tasks require models to continuously plan, decompose subtasks, invoke tools, process intermediate results, and deliver complete runnable artifacts, making them an important dimension for distinguishing models' actual engineering capabilities.
Reasoning quality degrades as information accumulates in the context window, causing skill package execution to become brittle in long-horizon tasks.
All Facts (2)
Long-horizon tasks require models to continuously plan, decompose subtasks, invoke tools, process intermediate results, and deliver complete runnable artifacts, making them an important dimension for distinguishing models' actual engineering capabilities.
50%UnverifiedReasoning quality degrades as information accumulates in the context window, causing skill package execution to become brittle in long-horizon tasks.
50%