MLS-Bench Lite A
AI benchmark · Machine Learning
- Publisher
- Moonshotai Model Card
- Domains
- Machine Learning
- Tier
- A why
- Snapshot
What is MLS-Bench Lite?
Official 30-task subset of MLS-Bench for evaluating whether AI systems can invent generalizable and scalable machine-learning methods.
Tier A
A
Widely used: a lab reports it, or 50 or more models are scored on it.
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.
- 15 models scored
- reported by Moonshot AI
- in curated RL directories (2 pts)
How we got to tier A
- Adoption: 15 models scored; reported by Moonshot AI. Tier A.
- On X: unclear, none buzz No move.
- In curated RL directories: 2 points, a floor of C.
- Not yet confirmed by a line from its own site or paper.
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, 2026-10-11 snapshot.