long context benchmark
MRCR v2 (8-needle, 512K-1M) Leaderboard
MRCR v2 (8-needle, 512K-1M) evaluates the MRCR v2 8-needle variant on contexts from 512K to 1M tokens.
Updated Sep 5, 2026
Models4
Model coverage4
MetricScore
EvidenceB
MRCR v2 (8-needle, 512K-1M) Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelME | Score98.10% | Percentile100.00% | Participants4 | EvidenceC | Evaluated |
| Rank02 | ModelOP | Score73.80% | Percentile66.67% | Participants4 | EvidenceC | Evaluated |
| Rank03 | ModelOP | Score72.50% | Percentile33.33% | Participants4 | EvidenceC | Evaluated |
| Rank04 | ModelOP | Score41.30% | Percentile0.00% | Participants4 | EvidenceC | Evaluated |
MRCR v2 (8-needle, 512K-1M) Highlights
The leading models and scores on this benchmark.
MRCR v2 (8-needle, 512K-1M) Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for MRCR v2 (8-needle, 512K-1M)
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, 512K-1M)?
What MRCR v2 (8-needle, 512K-1M) measures and how its scores work.
MRCR v2 (8-needle, 512K-1M) is a long-context benchmark for the MRCR v2 8-needle variant.
It measures Score, reported as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- MRCR v2 (8-needle, 512K-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 MRCR v2 (8-needle, 512K-1M).
Which model scores highest on MRCR v2 (8-needle, 512K-1M)?
Muse Spark 1.3 is currently ranked first with 98.10%.
What are the top three models on MRCR v2 (8-needle, 512K-1M)?
The current leaders are Muse Spark 1.3 (98.10%), GPT-5.6 Sol (73.80%), and GPT-5.6 Terra (72.50%).
Which MRCR v2 (8-needle, 512K-1M) 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, 512K-1M) results?
The fastest matched records are GPT-5.6 Terra (99.35 tok/s via OpenAI), GPT-5.6 Luna (41.87 tok/s via OpenAI), and Muse Spark 1.3 (8.44 tok/s via Meta Model API).
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.