long context benchmark
NIH/Multi-needle
Multi-needle in a haystack benchmark for evaluating long-context comprehension capabilities of language models by testing retrieval of multiple target pieces of information from extended documents
Updated Aug 11, 2026
Models1
Model coverage1
MetricScore
EvidenceB
NIH/Multi-needle Ranking
Higher score ranks better on this benchmark.
| 01 | ME | 84.7% | 100.0% | 1 | C |
NIH/Multi-needle Highlights
The leading models and scores on this benchmark.
What is NIH/Multi-needle?
What NIH/Multi-needle measures and how its scores work.
Multi-needle in a haystack benchmark for evaluating long-context comprehension capabilities of language models by testing retrieval of multiple target pieces of information from extended documents
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- NIH/Multi-needle
- Modality
- text
- Primary category
- long context
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- nih-multi-needle|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about NIH/Multi-needle.
Which model scores highest on NIH/Multi-needle?
Llama 3.2 3B Instruct is currently ranked first with 84.7%.
What does NIH/Multi-needle measure?
Multi-needle in a haystack benchmark for evaluating long-context comprehension capabilities of language models by testing retrieval of multiple target pieces of information from extended documents
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
1 model results are currently shown.
Does this benchmark affect the overall score?
No. This benchmark is shown for reference but does not contribute to the overall score.