Introducing LifeSciBench

OpenAI released LifeSciBench, a benchmark designed to assess how well AI systems perform on real-world life science research tasks. Developed and reviewed by domain experts, the benchmark covers tasks such as analyzing experimental data, interpreting scientific literature, and making research decisions. The aim is to provide a standardized evaluation method that reflects actual scientific workflows, moving beyond generic question-answering or code-generation tests. For developers building AI workflows in biotech, pharma, or academic research, LifeSciBench offers a way to compare model performance on domain-specific challenges. It highlights the growing need for specialized evaluation frameworks as AI tools become more integrated into scientific discovery. The benchmark is publicly available, and OpenAI encourages researchers to submit their own models for evaluation.