long context benchmark
MRCR (Multi-Round Coreference Resolution) at 128K context length with 4 needles. Models must navigate long conversations to reproduce specific model outputs, testing attention and reasoning across 128K-token contexts with 4 items to retrieve.
Updated Aug 11, 2026
Higher score ranks better on this benchmark.
| 01 | OP | 19.6% | 100.0% | 1 | C |
The leading models and scores on this benchmark.
What MRCR 128K (4-needle) measures and how its scores work.
MRCR (Multi-Round Coreference Resolution) at 128K context length with 4 needles. Models must navigate long conversations to reproduce specific model outputs, testing attention and reasoning across 128K-token contexts with 4 items to retrieve.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about MRCR 128K (4-needle).
MiniCPM-SALA is currently ranked first with 19.6%.
MRCR (Multi-Round Coreference Resolution) at 128K context length with 4 needles. Models must navigate long conversations to reproduce specific model outputs, testing attention and reasoning across 128K-token contexts with 4 items to retrieve.
Yes. Higher values rank better for this benchmark.
1 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.