long context benchmark
RULER v1 is a synthetic long-context benchmark for measuring how model quality degrades as input length increases. This packaging follows the public standalone NVIDIA RULER implementation with 13 official tasks spanning retrieval, multi-hop tracing, aggregation, and QA.
Updated Aug 17, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelNV | Score94.7% | Percentile100.0% | Participants4 | EvidenceC | Evaluated |
| Rank02 | ModelNV | Score91.8% | Percentile66.7% | Participants4 | EvidenceC | Evaluated |
| Rank03 | ModelMI | Score87.1% | Percentile33.3% | Participants4 | EvidenceC | Evaluated |
| Rank04 | ModelMI | Score84.1% | Percentile0.0% | Participants4 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis ruler AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Nemotron 3 Ultra (550B A55B) currently leads RULER with 94.7%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What RULER measures and how its scores work.
RULER v1 is a synthetic long-context benchmark for measuring how model quality degrades as input length increases. This packaging follows the public standalone NVIDIA RULER implementation with 13 official tasks spanning retrieval, multi-hop tracing, aggregation, and QA.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about RULER.
Nemotron 3 Ultra (550B A55B) is currently ranked first with 94.7%.
RULER v1 is a synthetic long-context benchmark for measuring how model quality degrades as input length increases. This packaging follows the public standalone NVIDIA RULER implementation with 13 official tasks spanning retrieval, multi-hop tracing, aggregation, and QA.
Yes. Higher values rank better for this benchmark.
4 model results are currently shown.
Yes. This benchmark can contribute to the current LLMBoard capability score.