OpenAI Releases LifeSciBench: A 750-Task Benchmark for Evaluating AI Models on Real Life-Science Research with Expert-Written Rubrics

Most existing biology benchmarks rely on narrow, fact-based questions with clearly defined answers. In real-world research, however, scientists must weigh incomplete or conflicting evidence and make nuanced decisions. OpenAI's newly released LifeSciBench directly addresses this gap. The benchmark comprises 750 tasks authored by domain experts. Even the most capable AI models currently pass roughly one in three tasks, indicating that LifeSciBench is far from saturated and presents a significant challenge for current systems. ## What is LifeSciBench? LifeSciBench includes 750 expert-written tasks designed to test AI models on realistic life-science research scenarios. Unlike traditional benchmarks that focus on multiple-choice or short-answer questions, LifeSciBench tasks require models to evaluate evidence, consider trade-offs, and produce answers aligned with expert judgment. Each task comes with a detailed rubric created by specialists, enabling consistent and meaningful grading of model outputs.

via MarkTechPost