reasoning benchmark
OpenRCA Leaderboard
OpenRCA evaluates AI models on root cause analysis tasks.
Updated Sep 5, 2026
Models1
Model coverage1
MetricScore
EvidenceB
OpenRCA Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAN | Score34.90% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
OpenRCA Highlights
The leading models and scores on this benchmark.
The Top AI Models for OpenRCA
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis openrca AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01ANAnthropic
- Score
- 34.90%
- Price
- $5.0 input / $25 output per 1M tokens
- Speed
- Up to 123.15 tok/s via Anthropic
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures OpenRCA, not total model capability
Selection summary
Best AI Models for OpenRCA
Claude Opus 4.6 currently leads OpenRCA with 34.90%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is OpenRCA?
What OpenRCA measures and how its scores work.
OpenRCA is a reasoning benchmark for evaluating AI models on root cause analysis tasks across failure cases.
It measures Score as the average ratio of failure cases in which all generated root-cause elements match the ground-truth elements.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- OpenRCA
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about OpenRCA.
Which model scores highest on OpenRCA?
Claude Opus 4.6 is currently ranked first with 34.90%.
What are the top three models on OpenRCA?
The current leaders are Claude Opus 4.6 (34.90%).
Which OpenRCA model has the lowest official input price?
Claude Opus 4.6 has the lowest matched official input price at $5.0 input / $25 output per 1M tokens.
Which models are fastest among OpenRCA results?
The fastest matched records are Claude Opus 4.6 (123.15 tok/s via Anthropic).
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.