Open LLM Leaderboard v2 A
AI benchmark · General Knowledge
- Publisher
- Huggingface Dataset Parquet
- Domains
- General Knowledge
- Tier
- A why
- Snapshot
What is Open LLM Leaderboard v2?
Open LLM Leaderboard v2 aggregates model evaluations across IFEval, BBH, MATH Level 5, GPQA, MuSR, and MMLU-PRO for open-weight language models.
Tier A · a leaderboard, listed apart
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.
- 3835 models scored
- model counts only from community leaderboards
- in curated RL directories (1 pt)
How we got to tier A
- Adoption: 3835 models scored; model counts only from community leaderboards. Tier A.
- On X: unclear, none buzz No move.
- In curated RL directories: 1 point, a floor of none.
- Not yet confirmed by a line from its own site or paper.
- Judged a leaderboard, arena or index rather than one benchmark (or not a benchmark at all): listed apart.
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.