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long context benchmark

RULER Leaderboard

RULER v1 is a synthetic long-context benchmark with 13 official tasks spanning retrieval, multi-hop tracing, aggregation, and QA.

Updated Sep 5, 2026

Models4
Model coverage4
MetricScore
EvidenceB

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  • Ranking
  • Highlights
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  • FAQ

RULER Ranking

Higher score ranks better on this benchmark.

4 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelNVNemotron 3 Ultra (550B A55B)NVIDIAScore94.70%Percentile100.00%Participants4EvidenceCEvaluatedSep 8, 2026
Rank02ModelNVNemotron 3 Super (120B A12B)NVIDIAScore91.75%Percentile66.67%Participants4EvidenceCEvaluatedSep 8, 2026
Rank03ModelMIPhi-3.5-MoE-instructMicrosoftScore87.10%Percentile33.33%Participants4EvidenceCEvaluatedSep 8, 2026
Rank04ModelMIPhi-3.5-mini-instructMicrosoftScore84.10%Percentile0.00%Participants4EvidenceCEvaluatedSep 8, 2026

RULER Highlights

The leading models and scores on this benchmark.

RULER Score Distribution

A closer view of the leading scores on this benchmark.

RULER

The Top AI Models for RULER

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

What is RULER?

What RULER measures and how its scores work.

RULER v1 is a synthetic long-context benchmark based on the public standalone NVIDIA RULER implementation.

It measures how model quality degrades as input length increases using the Score metric, reported as a ratio, across retrieval, multi-hop tracing, aggregation, and QA tasks.

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
No
Evaluation key
overall

LLM Stats. 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 94.70%.

What are the top three models on RULER?

The current leaders are Nemotron 3 Ultra (550B A55B) (94.70%), Nemotron 3 Super (120B A12B) (91.75%), and Phi-3.5-MoE-instruct (87.10%).

Which RULER model has the lowest official input price?

Nemotron 3 Super (120B A12B) has the lowest matched official input price at $0.20 input / $0.80 output per 1M tokens.

Which models are fastest among RULER results?

The fastest matched records are Phi-3.5-mini-instruct (23.00 tok/s via Azure).

Does the highest score result prove overall model quality?

No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.

What does RULER measure?

It measures how model quality degrades as input length increases using the Score metric, reported as a ratio, across retrieval, multi-hop tracing, aggregation, and QA tasks.

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?

No. This benchmark is shown for reference but does not contribute to the overall score.

Rank #1Nemotron 3 Ultra (550B A55B)94.70%
Rank #2Nemotron 3 Super (120B A12B)91.75%
Rank #3Phi-3.5-MoE-instruct87.10%
Rank #4Phi-3.5-mini-instruct84.10%

Ranking basisThis ruler AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    NV
    Nemotron 3 Ultra (550B A55B)NVIDIA
    Score
    94.70%
    Price
    $0.50 input / $2.5 output per 1M tokens

    Strengths

    • Ranks #1 of 4 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures RULER, not total model capability
  2. 02
    NV
    Nemotron 3 Super (120B A12B)NVIDIA
    Score
    91.75%
    Price
    $0.20 input / $0.80 output per 1M tokens

    Strengths

    • Ranks #2 of 4 compared models
    • 67th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures RULER, not total model capability
  3. 03
    MI
    Microsoft
    Score
    87.10%

    Strengths

    • Ranks #3 of 4 compared models
    • 33th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures RULER, not total model capability
  4. 04
    MI
    Microsoft
    Score
    84.10%
    Speed
    Up to 23.00 tok/s via Azure

    Strengths

    • Ranks #4 of 4 compared models
    • 0th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures RULER, not total model capability

Selection summary

Best AI Models for RULER

Nemotron 3 Ultra (550B A55B) currently leads RULER with 94.70%. 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.

Phi-3.5-MoE-instruct
Phi-3.5-mini-instruct
Benchmark rank #1Nemotron 3 Ultra (550B A55B)94.70% · $0.50 input / $2.5 output per 1M tokens
Benchmark rank #2Nemotron 3 Super (120B A12B)91.75% · $0.20 input / $0.80 output per 1M tokens
Benchmark rank #3Phi-3.5-MoE-instruct87.10%