agents benchmark
Connectors
Connectors is an OpenAI internal production benchmark measuring reliable use of connector-based tools in agentic workflows, reported as a pass rate.
Updated Aug 7, 2026
Published models3
Registry coverage3
MetricScore
EvidenceB
Connectors leaderboard
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | OP | 100.0% | 100.0% | 3 | C | |
| 2 | OP | 100.0% | 50.0% | 3 | C | |
| 3 | OP | 99.9% | 0.0% | 3 | C |
Score distribution
Top published rows on the benchmark's original scale.
Connectors highlights
The top published results on this benchmark's own scale.
What is Connectors?
Definition and scoring fields from the benchmark registry.
Connectors is an OpenAI internal production benchmark measuring reliable use of connector-based tools 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.
- Family
- Connectors
- Modality
- text
- Primary category
- agents
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- openai-connectors|llm-stats-current
Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.
FAQ
Common questions about Connectors.
Which model scores highest on Connectors?
GPT-5.6 Sol is currently ranked first with 100.0%.
What does Connectors measure?
Connectors is an OpenAI internal production benchmark measuring reliable use of connector-based tools 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 unique published model results are currently shown.
Does this benchmark affect the overall score?
This benchmark is preserved as source-native evidence but is not eligible for the current overall score.