Victoria Bazir
⬤ Baidu just announced that its Qianfan-DeepResearch Pro model grabbed the top ranking on DeepResearch Bench, a specialized benchmark that tests how well AI agents can handle complete research tasks from start to finish. The model proved it could beat the competition across several key research dimensions.
⬤ The official leaderboard puts Qianfan-DeepResearch Pro out front with an overall score of 54.22, edging past the standard Qianfan-DeepResearch version at 53.02 and tavily-research at 52.44. The benchmark evaluates crucial skills like understanding complex queries, generating meaningful insights, following specific instructions, and processing information effectively—basically everything a solid research assistant needs to do well.
⬤ What makes Baidu's system tick is its agentic architecture, which breaks down complicated research questions into manageable steps and executes them systematically. The agent pulls real information from Baidu Search to back up its findings, letting it tackle multi-layered research challenges through organized reasoning pathways rather than just guessing.
⬤ These benchmark results put Qianfan-DeepResearch Pro at the head of the pack among evaluated AI research models, demonstrating strong performance in autonomous research task completion across all tested categories.
Victoria Bazir
