agents benchmark
Search and Function-Calling
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 11, 2026
Models3
Model coverage3
MetricScore
EvidenceB
Search and Function-Calling Ranking
Higher score ranks better on this benchmark.
| 01 | OP | 94.6% | 100.0% | 3 | C | |
| 02 | OP | 91.0% | 50.0% | 3 | C | |
| 03 | OP | 89.7% | 0.0% | 3 | C |
Search and Function-Calling Score Distribution
A closer view of the leading scores on this benchmark.
Search and Function-Calling Highlights
The leading models and scores on this benchmark.
What is Search and Function-Calling?
What Search and Function-Calling measures and how its scores work.
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. This benchmark is not independently verified and has an evidence level of B.
- Family
- Search and Function-Calling
- Modality
- text
- Primary category
- agents
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- openai-search-function-calling|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about Search and Function-Calling.
Which model scores highest on Search and Function-Calling?
GPT-5.6 Terra is currently ranked first with 94.6%.
What does Search and Function-Calling measure?
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.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
3 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.