Benchmark
BFCL v2
general
reasoning
text
多语言
Berkeley Function Calling Leaderboard (BFCL) v2 is a comprehensive benchmark for evaluating large language models' function calling capabilities. It features 2,251 question-function-answer pairs with enterprise and OSS-contributed functions, addressing data contamination and bias through live, user-contributed scenarios. The benchmark evaluates AST accuracy, executable accuracy, irrelevance detection, and relevance detection across multiple programming languages (Python, Java, JavaScript) and includes complex real-world function calling scenarios with multi-lingual prompts.
语言EN
满分1
参评模型5
模型排名
| 名次 | 模型 | 机构 | 分数 | 来源 |
|---|---|---|---|---|
| 1 | Llama 3.3 70B Instruct | Meta | 77.3 | 来源 ↗ |
| 2 | Llama 3.1 Nemotron Ultra 253B v1 | NVIDIA | 74.1 | 来源 ↗ |
| 3 | Llama-3.3 Nemotron Super 49B v1 | NVIDIA | 73.7 | 来源 ↗ |
| 4 | Llama 3.2 3B Instruct | Meta | 67.0 | 来源 ↗ |
| 5 | Llama 3.1 Nemotron Nano 8B V1 | NVIDIA | 63.6 | 来源 ↗ |