Which AI model should your team use for Ansible
We ran real-world Ansible prompts, from nginx deployments to network automation, through the most capable AI models on the market. Then logged every error, warning, and security flag each one produced.
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How this comparison was run
This leaderboard tests the currently most popular models, GPT-5.6-Terra, DeepSeek-V4-Flash, and Claude Sonnet 5, across three Ansible scenarios of increasing complexity. Each model's output was checked by Spotter for errors, warnings, and how often it completed the task correctly on the first try.
100+ errors across all three models
Spotter caught 140 errors across three models and three scenarios, and just 3 of them came from the best-performing model.
One model led in errors in two of the three scenarios
One model posted the highest error count in two out of three scenarios, losing that spot only on the hardest one, where a different model overtook it
The same model produced 12 errors in the simplest scenario
One model was the only one to trip any errors on the easiest scenario, while the other two came back completely clean.
Most common error types across all scenarios and models
More than two-thirds of errors were caused by missing fully qualified module names.
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