Biology agents are being judged on research judgment, not just factual answers. GeneBench-Pro puts 129 computational-biology problems in front of agents, and indexed coverage says GPT-5.6 Sol reaches 28.7% at the highest reasoning level and 31.5% in Pro mode.
AI for life sciences is getting a more realistic yardstick. OpenAI says LifeSciBench was built with 173 biotech and pharma scientists and spans 750 expert-written tasks across seven biological research workflows.
Anthropic points to infrastructure, not only model intelligence, as the bottleneck for scientific agents. In an NCBI Virus retrieval task, accuracy rose to nearly 100% after adding a deterministic gget virus layer.
IBM Research has published MAMMAL, a multi-modal model that unifies proteins, molecules, and gene data. It achieves state-of-the-art results on 9 of 11 biological benchmarks and outperforms AlphaFold 3 on several drug-discovery tasks.