long context benchmark
OpenAI-MRCR: 2 needle 128k Leaderboard
Multi-round Co-reference Resolution (MRCR) benchmark for evaluating an LLM's ability to distinguish between multiple needles hidden in long context. Models are given a long, multi-turn synthetic conversation and must retrieve a specific instance of a repeated request, requiring reasoning and disambiguation skills beyond simple retrieval.
Updated Aug 17, 2026
Models9
Model coverage9
MetricScore
EvidenceB
OpenAI-MRCR: 2 needle 128k Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelOP | Score95.2% | Percentile100.0% | Participants9 | EvidenceC | Evaluated |
| Rank02 | ModelMI | Score76.1% | Percentile87.5% | Participants9 | EvidenceC | Evaluated |
| Rank03 | ModelMI | Score73.4% | Percentile75.0% | Participants9 | EvidenceC | Evaluated |
| Rank04 | ModelOP | Score57.2% | Percentile62.5% | Participants9 | EvidenceC | Evaluated |
| Rank05 | ModelOP | Score47.2% | Percentile50.0% | Participants9 | EvidenceC | Evaluated |
| Rank06 | ModelOP | Score38.5% | Percentile37.5% | Participants9 | EvidenceC | Evaluated |
| Rank07 | ModelOP | Score36.6% | Percentile25.0% | Participants9 | EvidenceC | Evaluated |
| Rank08 | ModelOP | Score31.9% | Percentile12.5% | Participants9 | EvidenceC | Evaluated |
| Rank09 | ModelOP | Score18.7% | Percentile0.0% | Participants9 | EvidenceC | Evaluated |
OpenAI-MRCR: 2 needle 128k Highlights
The leading models and scores on this benchmark.
OpenAI-MRCR: 2 needle 128k Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for OpenAI-MRCR: 2 needle 128k
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 128k 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.
- 01OPGPT-5OpenAI
- Score
- 95.2%
- Price
- $1.3 input / $10 output per 1M tokens
- Speed
- Up to 100 tok/s via OpenAI
Strengths
- Ranks #1 of 9 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures OpenAI-MRCR: 2 needle 128k, not total model capability
- 02MIMiniMax M1 40KMiniMax
- Score
- 76.1%
Strengths
- Ranks #2 of 9 compared models
- 88th percentile on this benchmark
- C evidence result
Considerations
- This result measures OpenAI-MRCR: 2 needle 128k, not total model capability
- 03MIMiniMax M1 80KMiniMax
- Score
- 73.4%
Strengths
- Ranks #3 of 9 compared models
- 75th percentile on this benchmark
- C evidence result
Considerations
- This result measures OpenAI-MRCR: 2 needle 128k, not total model capability
- 04OPGPT-4.1OpenAI
- Score
- 57.2%
- Price
- $2.0 input / $8.0 output per 1M tokens
- Speed
- Up to 100 tok/s via OpenAI
Strengths
- Ranks #4 of 9 compared models
- 63th percentile on this benchmark
- C evidence result
Considerations
- This result measures OpenAI-MRCR: 2 needle 128k, not total model capability
- 05OPGPT-4.1 miniOpenAI
- Score
- 47.2%
- Price
- $0.40 input / $1.6 output per 1M tokens
- Speed
- Up to 69 tok/s via OpenAI
Strengths
- Ranks #5 of 9 compared models
- 50th percentile on this benchmark
- C evidence result
Considerations
- This result measures OpenAI-MRCR: 2 needle 128k, not total model capability
Selection summary
Best AI Models for OpenAI-MRCR: 2 needle 128k
GPT-5 currently leads OpenAI-MRCR: 2 needle 128k with 95.2%. 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 128k?
What OpenAI-MRCR: 2 needle 128k measures and how its scores work.
Multi-round Co-reference Resolution (MRCR) benchmark for evaluating an LLM's ability to distinguish between multiple needles hidden in long context. Models are given a long, multi-turn synthetic conversation and must retrieve a specific instance of a repeated request, requiring reasoning and disambiguation skills beyond simple retrieval.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- OpenAI-MRCR: 2 needle 128k
- Modality
- text
- Primary category
- long context
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- openai-mrcr:-2-needle-128k|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about OpenAI-MRCR: 2 needle 128k.
Which model scores highest on OpenAI-MRCR: 2 needle 128k?
GPT-5 is currently ranked first with 95.2%.
What does OpenAI-MRCR: 2 needle 128k measure?
Multi-round Co-reference Resolution (MRCR) benchmark for evaluating an LLM's ability to distinguish between multiple needles hidden in long context. Models are given a long, multi-turn synthetic conversation and must retrieve a specific instance of a repeated request, requiring reasoning and disambiguation skills beyond simple retrieval.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
9 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.