ComplexFuncBench
ComplexFuncBench is a benchmark designed to evaluate large language models' capabilities in handling complex function calling scenarios. It encompasses multi-step and constrained function calling tasks that require long-parameter filling, parameter value reasoning, and managing contexts up to 128k tokens. The benchmark includes 1,000 samples across five real-world scenarios.
6rows
scoreprimary metric
2026-05-06sampled
Metadata
Metrics
Score, Normalized Score
| Rank | Subject | Score | Model Match | Provenance | Sampled |
|---|---|---|---|---|---|
| 1 | GPT-4o | 0.67 |  GPT-4o (2024-08-06) openai-gpt-4o-2024-08-06 | Self-reported | 2026-05-06 |
| 2 | GPT-4.1 | 0.66 | GPT-4.1 openai-gpt-4.1 | Self-reported | 2026-05-06 |
| 3 | GPT-4.5 | 0.63 | GPT-4.5 openai-gpt-4.5-preview | Self-reported | 2026-05-06 |
| 4 | GPT-4.1 mini | 0.49 | GPT-4.1 Mini openai-gpt-4.1-mini | Self-reported | 2026-05-06 |
| 5 | o3-mini | 0.18 | o3-mini openai-o3-mini | Self-reported | 2026-05-06 |
| 6 | GPT-4.1 nano | 0.06 | GPT-4.1 Nano openai-gpt-4.1-nano | Self-reported | 2026-05-06 |
No matching rows.