Open-source benchmark finds AI struggles with cloud reasoning tasks
A new open-source benchmark called CloudOpsBench tests how AI agents perform real-world cloud operations tasks on AWS. Version 1.0 includes 45 tasks, including fixing services, managing access, and decommissioning projects. The benchmark, created by University of Michigan researchers led by Ang Chen, found that even top models like Claude Fable 5.1 (60% success) and GPT-6 Astra (53%) fail…
Key points
- CloudOpsBench benchmark tests 45 real AWS cloud operations tasks, open-source under Apache 2.0 license
- Top models like Claude Fable 5.1 (60%) and GPT-6 Astra (53%) fail due to reasoning errors, not knowledge gaps
- 20% of errors cause irreversible infrastructure damage, per University of Michigan-led research team
Model pages: Claude Fable 5.1 → · GPT-6 Astra →
New open-source benchmark reveals reasoning as the biggest bottleneck for AI in cloud operations
The Decoder · 4 November 2026
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