OpenAI introduced BioBasicsBench on November 6, 2026, a 100-task benchmark developed with enzyme-design company Ligo to test whether AI agents can interpret raw evidence from routine wet-lab experiments. OpenAI reports results as mean reward, the average task score expressed as a percentage of available credit. At xhigh, the highest reasoning-effort setting reported for all seven models tested, GPT-6 Astra reached 66.7% with a 95% confidence interval of 60.3–73.1%, while GPT-5.6 Sol scored…