Benchmark
RULER
RULER v1 is a synthetic long-context benchmark for measuring how model quality degrades as input length increases. This packaging follows the public…
- Modality
- text
- Categories
- long_context, reasoning
- Openness
- unknown
- Source
- llm_stats
- Reported scores
- 4
Reported scores
llm_stats
| Model | Organization | Reported value | Reported | Evidence |
|---|---|---|---|---|
| Nemotron 3 Super (120B A12B) | NVIDIA | 0.9175 | 2026-03-11 | evidence |
| Nemotron 3 Ultra (550B A55B) | NVIDIA | 0.947 | 2026-06-04 | evidence |
| Phi-3.5-mini-instruct | Microsoft | 0.841 | 2024-08-23 | evidence |
| Phi-3.5-MoE-instruct | Microsoft | 0.871 | 2024-08-23 | evidence |
Scores are partitioned by the source that reported them and are never merged into a single cross-source ranking, because the sources measure different things and say so.