long context benchmark
MRCR 64K (2-needle)
MRCR (Multi-Round Coreference Resolution) at 64K context length with 2 needles. Models must navigate long conversations to reproduce specific model outputs, testing attention and reasoning across 64K-token contexts with 2 items to retrieve.
Updated Aug 11, 2026
Models1
Model coverage1
MetricScore
EvidenceB
MRCR 64K (2-needle) Ranking
Higher score ranks better on this benchmark.
| 1 | OP | 29.8% | 100.0% | 1 | C |
MRCR 64K (2-needle) Highlights
The leading models and scores on this benchmark.
What is MRCR 64K (2-needle)?
What MRCR 64K (2-needle) measures and how its scores work.
MRCR (Multi-Round Coreference Resolution) at 64K context length with 2 needles. Models must navigate long conversations to reproduce specific model outputs, testing attention and reasoning across 64K-token contexts with 2 items to retrieve.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- MRCR 64K (2-needle)
- Modality
- text
- Primary category
- long context
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- mrcr-64k-(2-needle)|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about MRCR 64K (2-needle).
Which model scores highest on MRCR 64K (2-needle)?
MiniCPM-SALA is currently ranked first with 29.8%.
What does MRCR 64K (2-needle) measure?
MRCR (Multi-Round Coreference Resolution) at 64K context length with 2 needles. Models must navigate long conversations to reproduce specific model outputs, testing attention and reasoning across 64K-token contexts with 2 items to retrieve.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
1 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.