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LLM Stats
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.
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 7
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| GPT-4o | 0.665 | Not recorded | Not recorded | 2024-08-06 · model_announcement | LLM Stats |
| GPT-4.1 | 0.655 | Not recorded | Not recorded | 2025-04-14 · model_announcement | LLM Stats |
| Nova 2 Sonic | 0.652 | Not recorded | Not recorded | 2025-12-02 · model_announcement | LLM Stats |
| GPT-4.5 | 0.63 | Not recorded | Not recorded | 2025-02-27 · model_announcement | LLM Stats |
| GPT-4.1 mini | 0.493 | Not recorded | Not recorded | 2025-04-14 · model_announcement | LLM Stats |
| o3-mini | 0.176 | Not recorded | Not recorded | 2025-01-30 · model_announcement | LLM Stats |
| GPT-4.1 nano | 0.057 | Not recorded | Not recorded | 2025-04-14 · model_announcement | LLM Stats |