P-Bench C
AI benchmark
- Tier
- C why
- Snapshot
What is P-Bench?
P-Bench measures whether LLM agents can perform statistically valid hypothesis testing — selecting a method, computing a p-value, and drawing a conclusion — on realistic datasets in economics, biology, and medicine.
Science mostly
“a benchmark comprising 425 open-ended, realistic hypothesis-testing tasks spanning economics, biology, and medicine”
arxiv.org/abs/2608.07437v1 ↗“a benchmark comprising 425 open-ended, realistic hypothesis-testing tasks spanning economics, biology, and medicine”
arxiv.org/abs/2608.07437v1 ↗“a benchmark comprising 425 open-ended, realistic hypothesis-testing tasks spanning economics, biology, and medicine”
arxiv.org/abs/2608.07437v1 ↗
Paper: arxiv.org/abs/2608.07437v1 ↗
Tier C
Niche: a handful of models scored, or built by an RL vendor.
How much stands behind a tier: usage, who backs it, a confirmed line from its own site or paper, and a clear read on X. High with three of the four, medium with two, low otherwise.
- 6 models scored
- in curated RL directories (1 pt)
How we got to tier C
- Adoption: 6 models scored. Tier C.
- Not yet read on X.
- In curated RL directories: 1 point, a floor of none.
- Confirmed: a line from its own site or paper places it.
A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.
Where P-Bench sits
Its domain on the map, live. Hover a logo for its name; click to open it. Open it on the full map
Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-10-19 snapshot.