long context benchmark
MRCR Leaderboard
MRCR (Multi-Round Coreference Resolution) is a synthetic long-context reasoning task in which models navigate long conversations to reproduce specific model outputs.
Updated Sep 5, 2026
Models7
Model coverage7
MetricScore
EvidenceB
MRCR Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelGO | Score93.00% | Percentile100.00% | Participants7 | EvidenceC | Evaluated |
| Rank02 | ModelGO | Score82.60% | Percentile83.33% | Participants7 | EvidenceC | Evaluated |
| Rank03 | ModelGO | Score71.90% | Percentile66.67% | Participants7 | EvidenceC | Evaluated |
| Rank04 | ModelGO | Score69.20% | Percentile50.00% | Participants7 | EvidenceC | Evaluated |
| Rank05 | ModelGO | Score54.70% | Percentile33.33% | Participants7 | EvidenceC | Evaluated |
| Rank06 | ModelXI | Score45.70% | Percentile16.67% | Participants7 | EvidenceC | Evaluated |
| Rank07 | ModelGO | Score32.00% | Percentile0.00% | Participants7 | EvidenceC | Evaluated |
MRCR Highlights
The leading models and scores on this benchmark.
MRCR Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for MRCR
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is MRCR?
What MRCR measures and how its scores work.
MRCR is a synthetic long-context reasoning benchmark focused on multi-round coreference resolution.
It measures the ability to distinguish between similar requests, reason about ordering, and maintain attention across extended contexts while reproducing specific model outputs.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- MRCR
- Modality
- text
- Primary category
- long context
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about MRCR.
Which model scores highest on MRCR?
Gemini 2.5 Pro is currently ranked first with 93.00%.
What are the top three models on MRCR?
The current leaders are Gemini 2.5 Pro (93.00%), Gemini 1.5 Pro (82.60%), and Gemini 1.5 Flash (71.90%).
Which MRCR model has the lowest official input price?
MiMo-V2-Flash has the lowest matched official input price at $0.14 input / $0.28 output per 1M tokens.
Which models are fastest among MRCR results?
The fastest matched records are Gemini 2.0 Flash (183.00 tok/s via Google), Gemini 1.5 Flash (150.00 tok/s via Google), and Gemini 1.5 Flash 8B (150.00 tok/s via Google).
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.