reasoning benchmark
BFCL v2
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.
Updated Aug 11, 2026
Models5
Model coverage5
MetricScore
EvidenceB
BFCL v2 Ranking
Higher score ranks better on this benchmark.
| 01 | ME | 77.3% | 100.0% | 5 | C | |
| 02 | NV | 74.1% | 75.0% | 5 | C | |
| 03 | NV | 73.7% | 50.0% | 5 | C | |
| 04 | ME | 67.0% | 25.0% | 5 | C | |
| 05 | NV | 63.6% | 0.0% | 5 | C |
BFCL v2 Score Distribution
A closer view of the leading scores on this benchmark.
BFCL v2 Highlights
The leading models and scores on this benchmark.
What is BFCL v2?
What BFCL v2 measures and how its scores work.
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.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- BFCL v2
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- bfcl-v2|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about BFCL v2.
Which model scores highest on BFCL v2?
Llama 3.3 70B Instruct is currently ranked first with 77.3%.
What does BFCL v2 measure?
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.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
5 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.