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.
语言EN
满分1
参评模型6
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 | Qwen3-235B-A22B-Instruct-2507 | Alibaba Cloud / Qwen Team | 70.9 | 来源 ↗ |
| 6 | Qwen3-Next-80B-A3B-Instruct | Alibaba Cloud / Qwen Team | 70.3 | 来源 ↗ |