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LLM Stats
MRCR 1M
MRCR 1M is a variant of the Multi-Round Coreference Resolution benchmark designed for testing extremely long context capabilities with approximately 1 million tokens. It evaluates models' ability to maintain reasoning and attention across ultra-long conversations.
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 4
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| DeepSeek-V4-Pro-Max | 0.835 | Not recorded | Not recorded | 2026-04-23 · model_announcement | LLM Stats |
| DeepSeek-V4-Flash-Max | 0.787 | Not recorded | Not recorded | 2026-04-23 · model_announcement | LLM Stats |
| DeepSeek-V4-Flash-0423 | 0.769 | Not recorded | Not recorded | 2026-04-23 · model_announcement | LLM Stats |
| Gemini 2.0 Flash-Lite | 0.58 | Not recorded | Not recorded | 2025-02-05 · model_announcement | LLM Stats |