ORCA-bench: leaderboard
Root-cause analysis of incidents: given the symptoms and the telemetry, name what actually broke. Accuracy sits between 15 and 31 percent, so the gap to a competent on-call engineer is still wide.
Metric: Root-Cause Accuracy (%). Source: arxiv.org. Saturation forecast: Around August 2028. 5 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Claude Sonnet 4.6 | 30.9 | #90 |
| 2 | Claude Opus 4.7 | 28.6 | #49 |
| 3 | GPT-5.5 | 24.3 | #31 |
| 4 | GLM-5 | 17.6 | #141 |
| 5 | DeepSeek V4 Pro | 15 | #102 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=orca-bench · How It Works · Data refreshed daily, snapshot 2026-10-20.