long context benchmark
MRCR 64K (2-needle) Leaderboard
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 17, 2026
Models1
Model coverage1
MetricScore
EvidenceB
MRCR 64K (2-needle) Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelOP | Score29.8% | Percentile100.0% | Participants1 | EvidenceC | Evaluated |
MRCR 64K (2-needle) Highlights
The leading models and scores on this benchmark.
The Top AI Models for MRCR 64K (2-needle)
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis mrcr 64k (2-needle) AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01OPMiniCPM-SALAOpenBMB
- Score
- 29.8%
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures MRCR 64K (2-needle), not total model capability
Selection summary
Best AI Models for MRCR 64K (2-needle)
MiniCPM-SALA currently leads MRCR 64K (2-needle) with 29.8%. 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.
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.