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general benchmark

Nexus Leaderboard

NexusRaven benchmark for evaluating function calling capabilities of large language models in zero-shot scenarios across cybersecurity tools and API interactions

Updated Aug 17, 2026

Models4
Model coverage4
MetricScore
EvidenceB

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Nexus Ranking

Higher score ranks better on this benchmark.

4 rows
Columns

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Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelMELlama 3.1 405B InstructMetaScore58.7%Percentile100.0%Participants4EvidenceCEvaluatedAug 17, 2026
Rank02ModelMELlama 3.1 70B InstructMetaScore56.7%Percentile66.7%Participants4EvidenceCEvaluatedAug 17, 2026
Rank03ModelMELlama 3.1 8B InstructMetaScore38.5%Percentile33.3%Participants4EvidenceCEvaluatedAug 17, 2026
Rank04ModelMELlama 3.2 3B InstructMetaScore34.3%Percentile0.0%Participants4EvidenceCEvaluatedAug 17, 2026

Nexus Highlights

The leading models and scores on this benchmark.

Rank #1Llama 3.1 405B Instruct58.7%Rank #2Llama 3.1 70B Instruct56.7%Rank #3Llama 3.1 8B Instruct38.5%Rank #4Llama 3.2 3B Instruct34.3%

Nexus Score Distribution

A closer view of the leading scores on this benchmark.

Nexus

The Top AI Models for Nexus

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

Ranking basisThis nexus 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 3.1 405B InstructMeta
    Score
    58.7%
    Speed
    Up to 100 tok/s via Bedrock

    Strengths

    • Ranks #1 of 4 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Nexus, not total model capability
  2. 02
    ME
    Llama 3.1 70B InstructMeta
    Score
    56.7%
    Speed
    Up to 1,204 tok/s via Cerebras

    Strengths

    • Ranks #2 of 4 compared models
    • 67th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Nexus, not total model capability
  3. 03
    ME
    Llama 3.1 8B InstructMeta
    Score
    38.5%
    Speed
    Up to 2,047 tok/s via Cerebras

    Strengths

    • Ranks #3 of 4 compared models
    • 33th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Nexus, not total model capability
  4. 04
    ME
    Llama 3.2 3B InstructMeta
    Score
    34.3%
    Speed
    Up to 172 tok/s via DeepInfra

    Strengths

    • Ranks #4 of 4 compared models
    • 0th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Nexus, not total model capability

Selection summary

Best AI Models for Nexus

Llama 3.1 405B Instruct currently leads Nexus with 58.7%. 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 3.1 405B Instruct58.7% · Up to 100 tok/s via BedrockBenchmark rank #2Llama 3.1 70B Instruct56.7% · Up to 1,204 tok/s via CerebrasBenchmark rank #3Llama 3.1 8B Instruct38.5% · Up to 2,047 tok/s via Cerebras

What is Nexus?

What Nexus measures and how its scores work.

NexusRaven benchmark for evaluating function calling capabilities of large language models in zero-shot scenarios across cybersecurity tools and API interactions

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
Nexus
Modality
text
Primary category
general
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
nexus|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about Nexus.

Which model scores highest on Nexus?

Llama 3.1 405B Instruct is currently ranked first with 58.7%.

What does Nexus measure?

NexusRaven benchmark for evaluating function calling capabilities of large language models in zero-shot scenarios across cybersecurity tools and API interactions

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

4 model results are currently shown.

Does this benchmark affect the overall score?

Yes. This benchmark can contribute to the current LLMBoard capability score.