RULER at a 64K-token context (RULER (64K))
We show this table for reference; we do not rank on it.
Synthetic long-context benchmark of retrieval, multi-hop tracing, aggregation and question answering, scored at a 64K-token context.
Benchmark score on RULER (64K) — October 29, 2026
We compile the RULER (64K) rows from provider self-reports. The table contains 2 models. Nemotron 3.5 Bolt E4B BF16 has the highest published score at 86.99%, but the available coverage and evaluation setups do not establish a market leader. We do not use these results to rank models overall.
Nemotron 3.5 Bolt E4B BF16
NVIDIA
Nemotron 3.5 Bolt E4B
NVIDIA
2 modelsReasoningRefreshingDisplay onlyUpdated October 29, 2026
Benchmark score table (2 models)
| Rank | Model / configuration | Score | Parameters (B) | Open / closed |
|---|---|---|---|---|
| 1 | Nemotron 3.5 Bolt E4B BF16NVIDIA | 86.99% | Not reported | Open |
| 2 | Nemotron 3.5 Bolt E4BNVIDIA | 85.76% | Not reported | Open |
How to read this leaderboard
Operator receipt: 2 sourced rows are currently displayable on this page; the highest published score among these 2 models is Nemotron 3.5 Bolt E4B BF16 at 86.99%, which does not establish a market leader.
Honest limit: One context length only. Only NVIDIA-run results are stored so far, from one harness. Display-only and excluded from weighted ranking.
About RULER (64K)
Year
2024
Tasks
Synthetic long-context tasks
Format
Overall accuracy at 64K
Difficulty
Long-context retrieval and reasoning
NVIDIA reports it for Nemotron 3.5 Bolt E4B (October 23, 2026), run in its NeMo Gym harness, as overall accuracy at 64K with reasoning off. The RULER context-length report compares 128K values, so 64K launch reports stay on this key.
Freshness and provenance
Version
RULER (64K) 2024
Refresh cadence
Annual
Staleness state
Refreshing
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
Questions
What does RULER (64K) measure?
Synthetic long-context benchmark of retrieval, multi-hop tracing, aggregation and question answering, scored at a 64K-token context.
Which model scores highest on RULER (64K)?
Nemotron 3.5 Bolt E4B BF16 by NVIDIA currently leads with a score of 86.99% on RULER (64K).
How many models are evaluated on RULER (64K)?
2 AI models have published results on RULER (64K) in the BenchLM catalog.
Compare top models on RULER (64K)
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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