OpenRCA
Progress Over Time
Interactive timeline showing model performance evolution on OpenRCA
OpenRCA Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 |  Anthropic | — | 1.0M | $5.00 / $25.00 |
What is OpenRCA?
OpenRCA is a benchmark for evaluating AI models on root cause analysis tasks. For each failure case, the model receives 1 point if all generated root-cause elements match the ground-truth ones, and 0 points if any mismatch is identified. The overall accuracy is the average score across all failure cases.
OpenRCA is a text benchmark evaluating models on reasoning, agents, and code tasks. LLM Stats tracks 1 models on this benchmark, scored on a 0–1 scale. The current average is 0.3, with the leader at 0.3.
Compare leaders on the best AI for reasoning, best AI for agents and best AI for code leaderboards.
Current leaders
Claude Opus 4.6 from Anthropic currently leads the OpenRCA leaderboard with a score of 0.349 across 1 evaluated AI models.
FAQ
Common questions about the OpenRCA benchmark and leaderboard.