ModelRefs / RULER 128K Leaderboard — AI Model Scores
RULER 128K Leaderboard — AI Model Scores
Long-context evaluation across 13 synthetic tasks at 128K tokens. Current leaders, methodology, and citation sources for RULER 128K.
Overview
Long-context evaluation across 13 synthetic tasks at 128K tokens.
How it is measured: Mean accuracy across NIAH, multi-hop, aggregation, QA.
How this benchmark is scored
| Category | reasoning |
|---|---|
| Maximum score | 100 % accuracy |
| Direction | Higher is better |
Primary source: https://github.com/hsiehjackson/RULER
Continue your research
Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to RULER 128K Leaderboard — AI Model Scores.