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long context 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 standalone NVIDIA RULER implementation with 13 official tasks spanning retrieval, multi-hop tracing, aggregation, and QA.

Updated Aug 11, 2026

Models4
Model coverage4
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

RULER Ranking

Higher score ranks better on this benchmark.

4 rows
Columns

Show columns

01NVNemotron 3 Ultra (550B A55B)NVIDIA94.7%100.0%4CAug 11, 2026
02NVNemotron 3 Super (120B A12B)NVIDIA91.8%66.7%4CAug 11, 2026
03MIPhi-3.5-MoE-instructMicrosoft87.1%33.3%4CAug 11, 2026
04MIPhi-3.5-mini-instructMicrosoft84.1%0.0%4CAug 11, 2026

RULER Score Distribution

A closer view of the leading scores on this benchmark.

RULER

RULER Highlights

The leading models and scores on this benchmark.

Rank #1Nemotron 3 Ultra (550B A55B)94.7%Rank #2Nemotron 3 Super (120B A12B)91.8%Rank #3Phi-3.5-MoE-instruct87.1%Rank #4Phi-3.5-mini-instruct84.1%

What is RULER?

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.

Family
RULER
Modality
text
Primary category
long context
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
ruler|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about RULER.

Which model scores highest on RULER?

Nemotron 3 Ultra (550B A55B) is currently ranked first with 94.7%.

What does RULER measure?

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.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

4 model results are currently shown.

Does this benchmark affect the overall score?

Yes. This benchmark can contribute to the current LLMBoard capability score.