AI benchmarks and leaderboards are different things
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LLM Stats
MRCR
MRCR (Multi-Round Coreference Resolution) is a synthetic long-context reasoning task where models must navigate long conversations to reproduce specific model outputs. It tests the ability to distinguish between similar requests and reason about ordering while maintaining attention across extended contexts.
Evaluation context and evidence
- Source
- LLM Stats
- Publisher
- Not recorded
- Benchmark release
- Not recorded
- Collected
- 2026-08-17
- Modality
- text
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Original sources
Reported results 7
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| Gemini 2.5 Pro | 0.93 | Not recorded | Not recorded | 2025-05-20 · model_announcement | LLM Stats |
| Gemini 1.5 Pro | 0.826 | Not recorded | Not recorded | 2024-05-01 · model_announcement | LLM Stats |
| Gemini 1.5 Flash | 0.719 | Not recorded | Not recorded | 2024-05-01 · model_announcement | LLM Stats |
| Gemini 2.0 Flash | 0.692 | Not recorded | Not recorded | 2024-12-01 · model_announcement | LLM Stats |
| Gemini 1.5 Flash 8B | 0.547 | Not recorded | Not recorded | 2024-03-15 · model_announcement | LLM Stats |
| MiMo-V2-Flash | 0.457 | Not recorded | Not recorded | 2025-12-16 · model_announcement | LLM Stats |
| Gemini 2.5 Flash | 0.32 | Not recorded | Not recorded | 2025-05-20 · model_announcement | LLM Stats |