AI benchmarks and leaderboards are different things
Learn the difference between a benchmark, an evaluation run and a leaderboard, and use each to answer the right question.
LLM Stats
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.
Evaluation context and evidence
- Source
- LLM Stats
- Publisher
- Not recorded
- Benchmark release
- Not recorded
- Collected
- 2026-08-17
- Modality
- text
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Original sources
Reported results 19
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| GLM-4.5 | 0.778 | Not recorded | Not recorded | 2025-07-28 · model_announcement | LLM Stats |
| GLM-4.5-Air | 0.764 | Not recorded | Not recorded | 2025-07-28 · model_announcement | LLM Stats |
| LongCat-Flash-Thinking | 0.744 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| MAI-Thinking-1 | 0.72 | Not recorded | Not recorded | 2026-06-02 · model_announcement | LLM Stats |
| Qwen3-Next-80B-A3B-Thinking | 0.72 | Not recorded | Not recorded | 2025-09-10 · model_announcement | LLM Stats |
| Qwen3 VL 235B A22B Thinking | 0.719 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3-235B-A22B-Thinking-2507 | 0.719 | Not recorded | Not recorded | 2025-07-25 · model_announcement | LLM Stats |
| Qwen3 VL 32B Thinking | 0.717 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3-235B-A22B-Instruct-2507 | 0.709 | Not recorded | Not recorded | 2025-07-22 · model_announcement | LLM Stats |
| Qwen3-Next-80B-A3B-Instruct | 0.703 | Not recorded | Not recorded | 2025-09-10 · model_announcement | LLM Stats |
| Qwen3 VL 32B Instruct | 0.702 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3-Coder 480B A35B Instruct | 0.687 | Not recorded | Not recorded | 2025-01-31 · model_announcement | LLM Stats |
| Qwen3 VL 30B A3B Thinking | 0.686 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3 VL 235B A22B Instruct | 0.677 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3 VL 4B Thinking | 0.673 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3 VL 8B Instruct | 0.663 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3 VL 30B A3B Instruct | 0.663 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3 VL 4B Instruct | 0.633 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3 VL 8B Thinking | 0.63 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |