BrowseComp+ C
AI benchmark · Agentic
What is BrowseComp+?
Evaluates research agents against a fixed document corpus, separately from live-web BrowseComp.
Tier C
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.
- 3 models scored
- fewer than 5 models scored
- in curated RL directories (2 pts)
On X · well regarded, low buzz, from 9 posts about BrowseComp+ in the last month
BrowseComp+ is mostly named in passing in model and agent-system result lists; most engaged posts discuss the live-web BrowseComp rather than the fixed-corpus variant.
How we got to tier C
- Adoption: 3 models scored; fewer than 5 models scored. Tier D.
- On X: well regarded, low buzz. “BrowseComp+ is mostly named in passing in model and agent-system result lists; most engaged posts discuss the live-web BrowseComp rather than the fixed-corpus variant.” No move.
- In curated RL directories: 2 points, a floor of C. Raised to C.
- 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.
Not on the map yet: no line from its own site or paper places it in a domain.
Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-11-05 snapshot.