Cloud-OpsBench (OnlineBoutique) - Component Accuracy: leaderboard

Metric: Component accuracy (%): share of episodes whose predicted faulty component matches the label, on Cloud-OpsBench's OnlineBoutique fault cases (part of 754 runtime-verified cases over 57 fault types); the model drives the authors' ReAct agent (Pydantic-validated tools, temperature 0, at most 20 steps, extended thinking disabled) over snapshot-replayed Kubernetes diagnostic tools, from a user query describing the observed failure; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 10 models tracked.

Top models

#ModelScoreOverall rank
1DeepSeek V4 Flash (Non-reasoning)88#134 (DeepSeek V4 Flash)
2GPT-586#91
3Qwen 3.5 27B (Non-reasoning)85#183 (Qwen 3.5 27B)
4Gemini 2.5 Flash (Non-reasoning)82#237 (Gemini 2.5 Flash)
5Gemini 2.5 Pro81#145
6Qwen 3.5 Plus (Non-reasoning)80#123 (Qwen 3.5 Plus)
7Claude Sonnet 471#194
8Qwen 3 14B (Non-reasoning)61#524 (Qwen 3 14B)
9Qwen 3 235B A22B (Non-reasoning)61#304 (Qwen 3 235B A22B)
10Qwen 3 8B (Non-reasoning)35#667 (Qwen 3 8B)

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=cloud-opsbench-onlineboutique-component-accuracy · How It Works · Data refreshed daily, snapshot 2026-10-11.