long context benchmark
MRCR v2 (8-needle, 512K-1M)
MRCR v2 8-needle variant evaluated on contexts from 512K to 1M tokens.
Updated Aug 11, 2026
Models3
Model coverage3
MetricScore
EvidenceB
MRCR v2 (8-needle, 512K-1M) Ranking
Higher score ranks better on this benchmark.
| 01 | OP | 73.8% | 100.0% | 3 | C | |
| 02 | OP | 72.5% | 50.0% | 3 | C | |
| 03 | OP | 41.3% | 0.0% | 3 | C |
MRCR v2 (8-needle, 512K-1M) Score Distribution
A closer view of the leading scores on this benchmark.
MRCR v2 (8-needle, 512K-1M) Highlights
The leading models and scores on this benchmark.
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 variant evaluated on contexts from 512K to 1M tokens.
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
- Yes
- Evaluation key
- mrcr-v2-8-needle-512k-1m|llm-stats-current
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)?
GPT-5.6 Sol is currently ranked first with 73.8%.
What does MRCR v2 (8-needle, 512K-1M) measure?
MRCR v2 8-needle variant evaluated on contexts from 512K to 1M tokens.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
3 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.