# BenchBench-Cloning

Molecular cloning demands end-to-end reasoning, from picking starting materials and designing sequences to planning a series of reactions, while models have been reliable only on individual steps. BenchBench-Cloning tests that end-to-end ability with 65 cloning tasks drawn from real experiments, split into protocol development and construct design. GPT-6 Astra solved 30.6% of tasks on a single attempt, ahead of GPT-6.1 Sol at 22.2% and Claude Opus 5.5 at 20.5%; the same top model solved 72% of protocol-development tasks within ten attempts, against 27% on one.

Molecular cloning demands end-to-end reasoning, from picking starting materials and designing sequences to planning a series of reactions, while models have been reliable only on individual steps. BenchBench-Cloning tests that end-to-end ability with 65 cloning tasks drawn from real experiments, split into protocol development and construct design. GPT-6 Astra solved 30.6% of tasks on a single attempt, ahead of GPT-6.1 Sol at 22.2% and Claude Opus 5.5 at 20.5%; the same top model solved 72% of protocol-development tasks within ten attempts, against 27% on one.