RULER

reasoning official site →

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.

Methodology

Imported from llm-stats public benchmark metadata. Modality: text. Max score: 1. Categories: long_context, reasoning. Language: en. Verified by llm-stats: no.

Leaderboard

  1. Nemotron 3 Super (120B A12B) self-reported llm-stats
    91.8%
  2. Phi-3.5-MoE-instruct self-reported llm-stats
    87.1%
  3. Phi-3.5-mini-instruct self-reported llm-stats
    84.1%