OpenAI Releases BioBasicsBench to Evaluate AI Agents in Wet Lab Tasks

On November 6, 2026, OpenAI News announced the release of BioBasicsBench, a 100-task benchmark designed to evaluate how well AI agents interpret raw experimental data and handle routine wet-lab science tasks. According to the announcement, the benchmark targets everyday work in biological labs rather than purely digital or text-based challenges. Its stated purpose is to measure the performance and automation potential of AI agents within real wet-lab workflows, including tasks that involve reading and reasoning over data produced during actual experiments. OpenAI positioned BioBasicsBench as a way to assess where agents can contribute meaningfully in the lab setting, while also helping to surface limitations that remain when work moves beyond digital interfaces. The announcement gave no information about specific model results on the benchmark, nor did it detail which agents were evaluated or how scores were computed. As of the available reporting, BioBasicsBench has been introduced through this single announcement, and there is no further published information on adoption, follow-up evaluations, or updates to the task set.