Parallel Search Capability leaderboard

Parallel Search Capability (Parallel Search Capability Leaderboard) is an external benchmark published by BenchLM. A 29-model comparison of how well models use Parallel Search Fast and Extract to answer web research questions. Its evaluation set is described by the source as 100 questions each from DeepSearchQA, HLE, and WISER. The source rates its difficulty as multi-step web research and specialist questions.

Each model's result is published by BenchLM as equal-weight Search Intelligence Score (0–100). ModelScale prints that value to 1 decimal place, exactly as published, and never converts or rescales it. This page ranks the 0 models that carry a published value, highest value first; a model the source never scored is left out rather than ranked at zero. The source does not state whether a higher value is the better result, so neither does this page.