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 11, 2026
Models4
Model coverage4
MetricScore
EvidenceB
Nexus Ranking
Higher score ranks better on this benchmark.
| 01 | ME | 58.7% | 100.0% | 4 | C | |
| 02 | ME | 56.7% | 66.7% | 4 | C | |
| 03 | ME | 38.5% | 33.3% | 4 | C | |
| 04 | ME | 34.3% | 0.0% | 4 | C |
Nexus Score Distribution
A closer view of the leading scores on this benchmark.
Nexus Highlights
The leading models and scores on this benchmark.
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.