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
OpenAI-MRCR: 2 needle 1M
Multi-Round Co-reference Resolution benchmark that tests an LLM's ability to distinguish between multiple similar needles hidden in long conversations. Models must reproduce specific instances of content (e.g., 'Return the 2nd poem about tapirs') from multi-turn synthetic conversations, requiring reasoning about context, ordering, and subtle differences between similar outputs.
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 5
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| MiniMax M1 40K | 0.586 | Not recorded | Not recorded | 2025-06-16 · model_announcement | LLM Stats |
| MiniMax M1 80K | 0.562 | Not recorded | Not recorded | 2025-06-16 · model_announcement | LLM Stats |
| GPT-4.1 | 0.463 | Not recorded | Not recorded | 2025-04-14 · model_announcement | LLM Stats |
| GPT-4.1 mini | 0.333 | Not recorded | Not recorded | 2025-04-14 · model_announcement | LLM Stats |
| GPT-4.1 nano | 0.12 | Not recorded | Not recorded | 2025-04-14 · model_announcement | LLM Stats |