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general benchmark

Nexus

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

Updated Aug 7, 2026

Published models4
Registry coverage4
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

Nexus leaderboard

Sorted by the source-provided rank. Higher score is better according to the registry.

4 rows
Columns

Show columns

1MELlama 3.1 405B InstructMeta58.7%100.0%4CAug 7, 2026
2MELlama 3.1 70B InstructMeta56.7%66.7%4CAug 7, 2026
3MELlama 3.1 8B InstructMeta38.5%33.3%4CAug 7, 2026
4MELlama 3.2 3B InstructMeta34.3%0.0%4CAug 7, 2026

Score distribution

Top published rows on the benchmark's original scale.

Nexus

Nexus highlights

The top published results on this benchmark's own scale.

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%

What is Nexus?

Definition and scoring fields from the benchmark registry.

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. The current registry marks this benchmark as not independently verified with evidence level B.

Family
Nexus
Modality
text
Primary category
general
Score direction
higher
LLMBoard eligible
No
Evaluation key
nexus|llm-stats-current

Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.

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 unique published model results are currently shown.

Does this benchmark affect the overall score?

This benchmark is preserved as source-native evidence but is not eligible for the current overall score.

Rankings

OverallCodingText ArenaPricing

Modalities

Image GenerationVideo GenerationSpeech-to-TextEmbeddings

Benchmarks

All BenchmarksReasoningMathCoding

Vendors

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