long context benchmark
NIH/Multi-needle Leaderboard
NIH/Multi-needle is a long-context benchmark for evaluating language models' retrieval of multiple target pieces of information from extended documents.
Updated Sep 5, 2026
Models1
Model coverage1
MetricScore
EvidenceB
NIH/Multi-needle Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelME | Score84.70% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
NIH/Multi-needle Highlights
The leading models and scores on this benchmark.
The Top AI Models for NIH/Multi-needle
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis nih/multi-needle AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01MEMeta
- Score
- 84.70%
- Speed
- Up to 171.50 tok/s via DeepInfra
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures NIH/Multi-needle, not total model capability
Selection summary
Best AI Models for NIH/Multi-needle
Llama 3.2 3B Instruct currently leads NIH/Multi-needle with 84.70%. 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 NIH/Multi-needle?
What NIH/Multi-needle measures and how its scores work.
NIH/Multi-needle is a benchmark for evaluating long-context comprehension capabilities of language models.
It measures retrieval of multiple target pieces of information from extended documents using the Score metric, reported as a ratio.
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
- overall
LLM Stats. 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 84.70%.
What are the top three models on NIH/Multi-needle?
The current leaders are Llama 3.2 3B Instruct (84.70%).
Which NIH/Multi-needle model has the lowest official input price?
No matched official input price is currently available.
Which models are fastest among NIH/Multi-needle results?
The fastest matched records are Llama 3.2 3B Instruct (171.50 tok/s via DeepInfra).
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.