293 AI models ranked for DevOps and infrastructure automation. Scored by quality plus bonus for function calling, JSON mode, reasoning, and context window — the capabilities that matter most for CI/CD pipelines, IaC templates, and infrastructure management.
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.4 ProOpenAI | 91 |
| 2 | GPT-5.2 ProOpenAI | 90 |
| 3 | GPT-5 ProOpenAI | 90 |
| 4 | o3 ProOpenAI | 82 |
| 5 | Claude Opus 4.1Anthropic | 81 |
| 6 | o3 Deep ResearchOpenAI | 74 |
| 7 | Claude Opus 4.6Anthropic | 71 |
| 8 | Claude Opus 4Anthropic | 76 |
| 9 | Claude Opus 4.5Anthropic | 70 |
| 10 | GPT-5.4OpenAI | 70 |
| 11 | o1-proOpenAI | 77 |
| 12 | Claude Sonnet 4.5Anthropic | 69 |
| 13 | Qwen3 VL 30B A3B ThinkingAlibaba | 69 |
| 14 | Qwen3 VL 235B A22B ThinkingAlibaba | 69 |
| 15 | GPT-5.2OpenAI | 68 |
| 16 | Gemini 3.1 Pro Preview Custom ToolsGoogle | 68 |
| 17 | Gemini 3.1 Pro PreviewGoogle | 68 |
| 18 | Gemini 3 Pro PreviewGoogle | 68 |
| 19 | Claude Sonnet 4.6Anthropic | 68 |
| 20 | GPT-5.1OpenAI | 67 |
| 21 | GPT-5.3-CodexOpenAI | 67 |
| 22 | GPT-5.2-CodexOpenAI | 67 |
| 23 | GPT-5OpenAI | 67 |
| 24 | Gemini 3 Flash PreviewGoogle | 66 |
| 25 | o4 Mini Deep ResearchOpenAI | 66 |
| 26 | GPT-5.1-Codex-MaxOpenAI | 66 |
| 27 | Gemini 3.1 Flash Lite PreviewGoogle | 66 |
| 28 | Gemini 2.5 ProGoogle | 66 |
| 29 | Gemini 2.5 Flash Lite Preview 09-2025Google | 65 |
| 30 | GPT-5 MiniOpenAI | 65 |
Let AI execute infrastructure commands, provision resources, and manage CI/CD pipelines. Essential for automating deployments, scaling decisions, and infrastructure changes without manual intervention.
Generate valid Terraform, CloudFormation, or Kubernetes YAML configurations. Critical for infrastructure-as-code automation, ensuring AI output is immediately deployable and syntactically correct.
Analyze complex distributed system issues, trace root causes in logs, and troubleshoot infrastructure problems. Advanced reasoning helps AI understand dependencies and suggest fixes for production incidents.
Process entire application configurations, monitoring dashboards, and log files in a single request. Large context windows enable comprehensive analysis without splitting complex infrastructure documentation.