long context benchmark
OpenAI-MRCR: 2 needle 1M Leaderboard
OpenAI-MRCR: 2 needle 1M is a Multi-Round Co-reference Resolution benchmark in which models reproduce specific content instances from long, multi-turn synthetic conversations containing similar needles.
Updated Sep 5, 2026
Models5
Model coverage5
MetricScore
EvidenceB
OpenAI-MRCR: 2 needle 1M Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMI | Score58.60% | Percentile100.00% | Participants5 | EvidenceC | Evaluated |
| Rank02 | ModelMI | Score56.20% | Percentile75.00% | Participants5 | EvidenceC | Evaluated |
| Rank03 | ModelOP | Score46.30% | Percentile50.00% | Participants5 | EvidenceC | Evaluated |
| Rank04 | ModelOP | Score33.30% | Percentile25.00% | Participants5 | EvidenceC | Evaluated |
| Rank05 | ModelOP | Score12.00% | Percentile0.00% | Participants5 | EvidenceC | Evaluated |
OpenAI-MRCR: 2 needle 1M Highlights
The leading models and scores on this benchmark.
OpenAI-MRCR: 2 needle 1M Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for OpenAI-MRCR: 2 needle 1M
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is OpenAI-MRCR: 2 needle 1M?
What OpenAI-MRCR: 2 needle 1M measures and how its scores work.
A long-context benchmark that tests an LLM's ability to distinguish between multiple similar needles hidden in long conversations.
It measures performance on reproducing specified content instances, requiring reasoning about context, ordering, and subtle differences between similar outputs, reported as a Score ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- OpenAI-MRCR: 2 needle 1M
- 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 OpenAI-MRCR: 2 needle 1M.
Which model scores highest on OpenAI-MRCR: 2 needle 1M?
MiniMax M1 40K is currently ranked first with 58.60%.
What are the top three models on OpenAI-MRCR: 2 needle 1M?
The current leaders are MiniMax M1 40K (58.60%), MiniMax M1 80K (56.20%), and GPT-4.1 (46.30%).
Which OpenAI-MRCR: 2 needle 1M model has the lowest official input price?
GPT-4.1 nano has the lowest matched official input price at $0.10 input / $0.40 output per 1M tokens.
Which models are fastest among OpenAI-MRCR: 2 needle 1M results?
The fastest matched records are GPT-4.1 mini (467.39 tok/s via OpenAI), GPT-4.1 nano (138.14 tok/s via OpenAI), and GPT-4.1 (100.00 tok/s via OpenAI).
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.