Measuring how AI agents handle everyday wet-lab science

OpenAI and biotech company Ligo have introduced BioBasicsBench, a new benchmark designed to measure how well AI agents interpret raw experimental data across 100 routine wet-lab tasks. Evaluations of seven models showed that GPT-6 Astra achieved the highest mean reward of 66.7% at its highest reasoning effort, demonstrating improvements in multimodal interpretation and control recognition, though challenges with over-interpretation and accurate counting remain. Open article →