CloudOpsBench v1.0: leaderboard

CloudOpsBench v 1.0:45 seeded AWS incident tasks,4 trials each,40 minutes. Native state-based resolution rate, passes/(passes+failures+timeouts), evaluation errors excluded. Model,effort andharness kept distinct.

Metric: Resolution rate (%). Source: cloudopsbench.ai. Saturation forecast: Around January 2028. 18 models tracked.

Top models

#ModelScoreOverall rank
1Claude Fable 5.1 (Max)60.6#10 (Claude Fable 5.1)
2GPT-6 Astra (Max)58.9#6 (GPT-6 Astra)
3Gemini 4 Argon (High)57.5#9 (Gemini 4 Argon)
4Grok 4.7 (High)48.3#26 (Grok 4.7)
5Claude Opus 5.5 (High)47.8#3 (Claude Opus 5.5)
6Claude Fable 5.1 (High)43.8#10 (Claude Fable 5.1)
7Gemini 3.8 Flash (High)42.8#30 (Gemini 3.8 Flash)
8GPT-6 Astra (High)42.8#6 (GPT-6 Astra)
9Grok 4.7 (Medium)40#26 (Grok 4.7)
10Grok 4.6 (Medium)36.7#29 (Grok 4.6)
11Grok 4.6 (High)36.1#29 (Grok 4.6)
12Qwen 3.8 Max (High)33.7#34 (Qwen 3.8 Max)
13DeepSeek V4.1 Flash (High)21.8#37 (DeepSeek V4.1 Flash)
14Kimi K3.1 Pro (High)19.1#17 (Kimi K3.1 Pro)

No result here: #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=cloudopsbench-v1-0 · How It Works · Data refreshed daily, snapshot 2026-11-05.