general benchmark
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
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | ME | 58.7% | 100.0% | 4 | C | |
| 2 | ME | 56.7% | 66.7% | 4 | C | |
| 3 | ME | 38.5% | 33.3% | 4 | C | |
| 4 | ME | 34.3% | 0.0% | 4 | C |
Top published rows on the benchmark's original scale.
The top published results on this benchmark's own scale.
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.
Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.
Common questions about Nexus.
Llama 3.1 405B Instruct is currently ranked first with 58.7%.
NexusRaven benchmark for evaluating function calling capabilities of large language models in zero-shot scenarios across cybersecurity tools and API interactions
Yes. Higher values rank better for this benchmark.
4 unique published model results are currently shown.
This benchmark is preserved as source-native evidence but is not eligible for the current overall score.