Frontier-Bench: Harder Tasks for Better Agents

Frontier-Bench is an open-source benchmark designed to measure the capabilities of AI agents on difficult, real-world tasks within a command-line environment. Each task runs in an isolated sandbox where an agent's success is judged by the final, verifiable outcome, such as whether code compiled or a server started correctly. Scale AI was a major contributor, providing numerous verified tasks across science, finance, and systems domains. The benchmark's high difficulty is intended to push the limits of current models, revealing failures in judgment and reasoning rather than simple execution errors. This rigorous evaluation framework helps track the true capabilities of rapidly advancing AI agents.