BFCL-v3

Paper

Progress Over Time

Interactive timeline showing model performance evolution on BFCL-v3

State-of-the-art frontier
Open
Proprietary

BFCL-v3 Leaderboard

19 models
ContextCostLicense
1
Zhipu AI
Zhipu AI
355B
2
Zhipu AI
Zhipu AI
106B
3560B
4
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
80B
41.0T
6
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
236B
6
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
235B
8
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
33B
9
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
235B
10
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
80B
11
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
33B
12
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
480B
13
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
31B
14
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
236B
15
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
4B262K$0.10 / $1.00
16
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
31B
16
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
9B
18
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
4B262K$0.10 / $0.60
19
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
9B262K$0.18 / $2.09
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About this benchmark

What is BFCL-v3?

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.

BFCL-v3 is a text benchmark evaluating models on reasoning, structured output, finance, general, agents, and tool calling tasks. LLM Stats tracks 19 models on this benchmark, scored on a 0–1 scale. The current average is 0.7, with the leader at 0.8.

Compare leaders on the best AI for reasoning, best AI for structured output, best AI for finance, best AI for general, best AI for agents and best AI for tool calling leaderboards.

Current leaders

GLM-4.5 from Zhipu AI currently leads the BFCL-v3 leaderboard with a score of 0.778 across 19 evaluated AI models.

1GLM-4.5Zhipu AI77.8%
2GLM-4.5-AirZhipu AI76.4%

FAQ

Common questions about the BFCL-v3 benchmark and leaderboard.

What is the BFCL-v3 benchmark?

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.

What is the BFCL-v3 leaderboard?

The BFCL-v3 leaderboard ranks 19 AI models based on their performance on this benchmark. Currently, GLM-4.5 by Zhipu AI leads with a score of 0.778. The average score across all models is 0.700.

What is the highest BFCL-v3 score?

The highest BFCL-v3 score is 0.778, achieved by GLM-4.5 from Zhipu AI.

How many models are evaluated on BFCL-v3?

19 models have been evaluated on the BFCL-v3 benchmark, with 0 verified results and 19 self-reported results.

Where can I find the BFCL-v3 paper?

The BFCL-v3 paper is available at https://openreview.net/forum?id=2GmDdhBdDk. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does BFCL-v3 cover?

BFCL-v3 is categorized under reasoning, structured output, finance, general, agents, and tool calling. The benchmark evaluates text models.

What is the best open-source model on BFCL-v3?

GLM-4.5 by Zhipu AI is the top-ranked open-source model on BFCL-v3, with a score of 0.778 (rank #1).

How recent are the BFCL-v3 leaderboard results?

The BFCL-v3 leaderboard was last updated in July 2026 and currently includes 19 evaluated models.