BFCL
The Berkeley Function Calling Leaderboard (BFCL) is the first comprehensive and executable function call evaluation dedicated to assessing Large Language Models' ability to invoke functions. It evaluates serial and parallel function calls across multiple programming languages (Python, Java, JavaScript, REST API) using a novel Abstract Syntax Tree (AST) evaluation method. The benchmark consists of over 2,000 question-function-answer pairs covering diverse application domains and complex use cases including multiple function calls, parallel function calls, and multi-turn interactions.
Llama 3.1 405B Instruct from Meta currently leads the BFCL leaderboard with a score of 0.885 across 10 evaluated AI models.
Llama 3.1 405B Instruct leads with 88.5%, followed by Llama 3.1 70B Instruct at 84.8% and Llama 3.1 8B Instruct at 76.1%.
Progress Over Time
Interactive timeline showing model performance evolution on BFCL
BFCL Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | 405B | — | — | |||
| 2 | 70B | — | — | |||
| 3 | 8B | — | — | |||
| 4 |  Alibaba Cloud / Qwen Team | 235B | — | — | ||
| 5 | Alibaba Cloud / Qwen Team | 33B | 128K | $0.10 / $0.44 | ||
| 6 | Alibaba Cloud / Qwen Team | 31B | 128K | $0.10 / $0.30 | ||
| 7 |  Amazon | — | — | — | ||
| 8 | Amazon | — | — | — | ||
| 9 | Alibaba Cloud / Qwen Team | 33B | — | — | ||
| 10 | Amazon | — | — | — |
FAQ
Common questions about BFCL.
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