HLE-MultiChoice D
AI benchmark · Decision Models
- Built by
- Artificial Analysis
- Domains
- Decision Models
- Tier
- D why
- Snapshot
What is HLE-MultiChoice?
HLE-MultiChoice measures model accuracy on 513 text-only multiple-choice questions from Humanity's Last Exam, testing reasoning capabilities.
General capability mostly
“HLE-MultiChoice: 513 text-only multiple-choice questions from Humanity’s Last Exam, testing decision models’ reasoning capabilities”
x.com/ArtificialAnlys/status/2110046565691949058 ↗
Who built HLE-MultiChoice
Led by Artificial Analysis.
Lineage
Benchmarks this one is built on and built from: versions, subsets, extensions and the indexes that combine them.
Built on
Humanity's Last Exam original
“HLE-MultiChoice measures model accuracy on 513 text-only multiple-choice questions from Humanity's Last Exam, testing reasoning capabilities.”
Tier D
Long tail: little or no usage data yet.
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.
- no usage data
- in curated RL directories (1 pt)
How we got to tier D
- Adoption: no usage data. Tier D.
- 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 HLE-MultiChoice 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, 2026-10-16 snapshot.