Benchmark
BFCL-v3
general
reasoning
text
Berkeley Function Calling Leaderboard v3 (BFCL-v3) is an advanced benchmark that evaluates large language models' function calling capabilities through multi-turn and multi-step interactions. It introduces extended conversational exchanges where models must retain contextual information across turns and execute multiple internal function calls for complex user requests. The benchmark includes 1000 test cases across domains like vehicle control, trading bots, travel booking, and file system management, using state-based evaluation to verify both system state changes and execution path correctness.
Top 10
榜单概览
数据说明
分数为 0-100 百分制综合成绩(Elo 榜为相对评分,仅供同榜内比较)。评测分数属事实数据,整理自公开评测体系与厂商公开资料,部分分数为厂商自报口径,不同榜单的评测方法与数据集可能存在差异,请结合多个榜单交叉参考。
Ranking
模型排名
| 名次 | 模型 | 机构 | 分数 | 来源 |
|---|---|---|---|---|
| 1 | GLM-4.5 | Zhipu AI | 77.8 | 来源 |
| 2 | GLM-4.5-Air | Zhipu AI | 76.4 | 来源 |
| 3 | Qwen3-Next-80B-A3B-Thinking | Alibaba Cloud / Qwen Team | 72.0 | 来源 |
| 4 | Qwen3-235B-A22B-Thinking-2507 | Alibaba Cloud / Qwen Team | 71.9 | 来源 |
| 5 | Qwen3-Next-80B-A3B-Instruct | Alibaba Cloud / Qwen Team | 70.3 | 来源 |