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long context benchmark

NIH/Multi-needle Leaderboard

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 17, 2026

Models1
Model coverage1
MetricScore
EvidenceB

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  • FAQ

NIH/Multi-needle Ranking

Higher score ranks better on this benchmark.

1 rows
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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelMELlama 3.2 3B InstructMetaScore84.7%Percentile100.0%Participants1EvidenceCEvaluatedAug 17, 2026

NIH/Multi-needle Highlights

The leading models and scores on this benchmark.

Rank #1Llama 3.2 3B Instruct84.7%

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's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    ME
    Llama 3.2 3B InstructMeta
    Score
    84.7%
    Speed
    Up to 172 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 84.7%. 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.

Benchmark rank #1Llama 3.2 3B Instruct84.7% · Up to 172 tok/s via DeepInfra

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.