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

1GLM-4.577.82GLM-4.5-Air76.43Qwen3-Next-80B-A3B-Thin…72.04Qwen3-235B-A22B-Thinkin…71.95Qwen3-Next-80B-A3B-Inst…70.3
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