This benchmark separates what a language model can do from how well an agent framework uses those abilities—showing that both matter equally for real-world performance.
UniClawBench is a new benchmark for evaluating AI agents that work with real-world tools and applications. Unlike older benchmarks that use static simulations, it tests agents in live environments with 400 real tasks across five key capabilities: using tools, exploring options, understanding long documents, processing images/video, and coordinating across platforms.