long context benchmark
MRCR v2 (8-needle) Leaderboard
MRCR v2 (8-needle) is a variant of the Multi-Round Coreference Resolution benchmark with 8 needle items to retrieve from long contexts.
Updated Oct 23, 2026
Models25
Model coverage25
MetricScore
EvidenceC
MRCR v2 (8-needle) Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelME | Score98.50% | Percentile100.00% | Participants25 | EvidenceC | Evaluated |
| Rank02 | ModelGO | Score97.00% | Percentile95.83% | Participants25 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score92.90% | Percentile91.67% | Participants25 | EvidenceC | Evaluated |
| Rank04 | ModelOP | Score91.50% | Percentile87.50% | Participants25 | EvidenceC | Evaluated |
| Rank05 | ModelOP | Score89.60% | Percentile83.33% | Participants25 | EvidenceC | Evaluated |
| Rank06 | ModelAN | Score76.00% | Percentile79.17% | Participants25 | EvidenceC | Evaluated |
| Rank07 | ModelOP | Score74.00% | Percentile75.00% | Participants25 | EvidenceC | Evaluated |
| Rank08 | ModelGO | Score66.40% | Percentile70.83% | Participants25 | EvidenceC | Evaluated |
| Rank09 | ModelGO | Score60.10% | Percentile66.67% | Participants25 | EvidenceC | Evaluated |
| Rank10 | ModelGO | Score54.00% | Percentile62.50% | Participants25 | EvidenceC | Evaluated |
| Rank11 | ModelBY | Score51.40% | Percentile58.33% | Participants25 | EvidenceC | Evaluated |
| Rank12 | ModelGO | Score44.10% | Percentile54.17% | Participants25 | EvidenceC | Evaluated |
| Rank13 | ModelGO | Score43.40% | Percentile50.00% | Participants25 | EvidenceC | Evaluated |
| Rank14 | ModelOP | Score41.30% | Percentile45.83% | Participants25 | EvidenceC | Evaluated |
| Rank15 | ModelOP | Score33.60% | Percentile41.67% | Participants25 | EvidenceC | Evaluated |
| Rank16 | ModelOP | Score33.10% | Percentile37.50% | Participants25 | EvidenceC | Evaluated |
| Rank17 | ModelGO | Score26.60% | Percentile33.33% | Participants25 | EvidenceC | Evaluated |
| Rank18 | ModelGO | Score26.30% | Percentile29.17% | Participants25 | EvidenceC | Evaluated |
| Rank19 | ModelGO | Score26.30% | Percentile25.00% | Participants25 | EvidenceC | Evaluated |
| Rank20 | ModelGO | Score25.40% | Percentile20.83% | Participants25 | EvidenceC | Evaluated |
| Rank21 | ModelGO | Score22.10% | Percentile16.67% | Participants25 | EvidenceC | Evaluated |
| Rank22 | ModelGO | Score21.30% | Percentile12.50% | Participants25 | EvidenceC | Evaluated |
| Rank23 | ModelGO | Score19.10% | Percentile8.33% | Participants25 | EvidenceC | Evaluated |
| Rank24 | ModelGO | Score16.40% | Percentile4.17% | Participants25 | EvidenceC | Evaluated |
| Rank25 | ModelGO | Score13.50% | Percentile0.00% | Participants25 | EvidenceC | Evaluated |
MRCR v2 (8-needle) Highlights
The leading models and scores on this benchmark.
MRCR v2 (8-needle) Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for MRCR v2 (8-needle)
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is MRCR v2 (8-needle)?
What MRCR v2 (8-needle) measures and how its scores work.
MRCR v2 (8-needle) is a long_context benchmark variant of the Multi-Round Coreference Resolution benchmark.
It measures models' ability to simultaneously track and reason about multiple pieces of information across extended conversations.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of C.
- Family
- MRCR v2 (8-needle)
- 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 MRCR v2 (8-needle).
Which model scores highest on MRCR v2 (8-needle)?
Muse Spark 1.3 is currently ranked first with 98.50%.
What are the top three models on MRCR v2 (8-needle)?
The current leaders are Muse Spark 1.3 (98.50%), Gemini 3.7 Flash (97.00%), and Qwen3.8 Max (92.90%).
Which MRCR v2 (8-needle) model has the lowest official input price?
GPT-5.6 Luna has the lowest matched official input price at $0.20 input / $1.2 output per 1M tokens.
Which models are fastest among MRCR v2 (8-needle) results?
The fastest matched records are Gemini 3.7 Flash (409.96 tok/s via Google), GPT-5.6 Luna (215.52 tok/s via OpenAI), and Gemini 3.1 Pro (90.00 tok/s via Google).
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.