OpenAI Releases LifeSciBench, a 750-Task Benchmark Grading AI Models on Real Life-Science Research With Expert-Written Rubric
36.1%. That's how many real life-science research tasks the best AI model passes. OpenAI just released LifeSciBench—750 expert-authored benchmarks that grade reasoning, not recall.
Why it matters
OpenAI's LifeSciBench reveals a critical capability gap: frontier models struggle with domain-specific, reasoning-heavy tasks in high-stakes research. This matters because it shows where AI adoption in biotech will stall—and where the next wave of model improvement must focus.
The key facts
5 to know750-task benchmark across 7 biological domains and 7 research workflows
Built by 173 PhD scientists with 19,020 rubric criteria
GPT-Rosalind (best model) passes only 36.1% of tasks
Evaluation grades reasoning and decision-making, not just recall
Significant headroom identified in artifacts, exact outputs, and operational calls
Go to the source
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Publisher excerpt: OpenAI's LifeSciBench evaluates whether frontier AI can handle real life-science research across 750 expert-authored tasks, seven workflows, and seven biological domains. Built by 173 PhD scientists with 19,020 rubric criteria, it grades reasoning and decisions, not just recall. The best model,…