long context benchmark
OpenAI-MRCR: 2 needle 1M Leaderboard
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.
Updated Aug 17, 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 | Score58.6% | Percentile100.0% | Participants5 | EvidenceC | Evaluated |
| Rank02 | ModelMI | Score56.2% | Percentile75.0% | Participants5 | EvidenceC | Evaluated |
| Rank03 | ModelOP | Score46.3% | Percentile50.0% | Participants5 | EvidenceC | Evaluated |
| Rank04 | ModelOP | Score33.3% | Percentile25.0% | Participants5 | EvidenceC | Evaluated |
| Rank05 | ModelOP | Score12.0% | Percentile0.0% | 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.
Ranking basisThis openai-mrcr: 2 needle 1m AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01MIMiniMax M1 40KMiniMax
- Score
- 58.6%
Strengths
- Ranks #1 of 5 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures OpenAI-MRCR: 2 needle 1M, not total model capability
- 02MIMiniMax M1 80KMiniMax
- Score
- 56.2%
Strengths
- Ranks #2 of 5 compared models
- 75th percentile on this benchmark
- C evidence result
Considerations
- This result measures OpenAI-MRCR: 2 needle 1M, not total model capability
- 03OPGPT-4.1OpenAI
- Score
- 46.3%
- Price
- $2.0 input / $8.0 output per 1M tokens
- Speed
- Up to 100 tok/s via OpenAI
Strengths
- Ranks #3 of 5 compared models
- 50th percentile on this benchmark
- C evidence result
Considerations
- This result measures OpenAI-MRCR: 2 needle 1M, not total model capability
- 04OPGPT-4.1 miniOpenAI
- Score
- 33.3%
- Price
- $0.40 input / $1.6 output per 1M tokens
- Speed
- Up to 69 tok/s via OpenAI
Strengths
- Ranks #4 of 5 compared models
- 25th percentile on this benchmark
- C evidence result
Considerations
- This result measures OpenAI-MRCR: 2 needle 1M, not total model capability
- 05OPGPT-4.1 nanoOpenAI
- Score
- 12.0%
- Price
- $0.10 input / $0.40 output per 1M tokens
- Speed
- Up to 200 tok/s via OpenAI
Strengths
- Ranks #5 of 5 compared models
- 0th percentile on this benchmark
- C evidence result
Considerations
- This result measures OpenAI-MRCR: 2 needle 1M, not total model capability
Selection summary
Best AI Models for OpenAI-MRCR: 2 needle 1M
MiniMax M1 40K currently leads OpenAI-MRCR: 2 needle 1M with 58.6%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is OpenAI-MRCR: 2 needle 1M?
What OpenAI-MRCR: 2 needle 1M measures and how its scores work.
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.
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
- Yes
- Evaluation key
- openai-mrcr:-2-needle-1m|llm-stats-current
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 58.6%.
What does OpenAI-MRCR: 2 needle 1M measure?
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.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
5 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.