agents benchmark
Search and Function-Calling is an OpenAI internal production benchmark measuring reliable search-tool use and function calling in agentic workflows, reported as a pass rate.
Updated Aug 7, 2026
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | OP | 94.6% | 100.0% | 3 | C | |
| 2 | OP | 91.0% | 50.0% | 3 | C | |
| 3 | OP | 89.7% | 0.0% | 3 | C |
Top published rows on the benchmark's original scale.
The top published results on this benchmark's own scale.
Definition and scoring fields from the benchmark registry.
Search and Function-Calling is an OpenAI internal production benchmark measuring reliable search-tool use and function calling in agentic workflows, reported as a pass rate.
Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.
Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.
Common questions about Search and Function-Calling.
GPT-5.6 Terra is currently ranked first with 94.6%.
Search and Function-Calling is an OpenAI internal production benchmark measuring reliable search-tool use and function calling in agentic workflows, reported as a pass rate.
Yes. Higher values rank better for this benchmark.
3 unique published model results are currently shown.
This benchmark is preserved as source-native evidence but is not eligible for the current overall score.