AI benchmarks and leaderboards are different things
Learn the difference between a benchmark, an evaluation run and a leaderboard, and use each to answer the right question.
LLM Stats
MRCR v2 (Multi-Round Coreference Resolution version 2) is an enhanced version of the synthetic long-context reasoning task. It extends the original MRCR framework with improved evaluation criteria and additional complexity for testing models' ability to maintain attention and reasoning across extended contexts.
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.
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| Qwen3.7-Plus | 0.917 | Not recorded | Not recorded | 2026-05-31 · model_announcement | LLM Stats |
| DiffusionGemma 26B-A4B | 0.32 | Not recorded | Not recorded | 2026-06-10 · model_announcement | LLM Stats |
| Gemini 2.5 Flash-Lite | 0.166 | Not recorded | Not recorded | 2025-06-17 · model_announcement | LLM Stats |