BrowseComp-V³ Benchmark for Multimodal Agents
BrowseComp-V³ is a new benchmark with 300 challenging questions for evaluating multimodal browsing agents on deep multi-hop reasoning across text and visuals. It features subgoal-driven process evaluation and publicly searchable evidence for reproducibility. Experiments reveal state-of-the-art models achieve only 36% accuracy, highlighting integration bottlenecks.







