251 models ranked for cloud architecture and infrastructure. Scored with heavy bonuses for function calling (automation), JSON mode (IaC configs), reasoning (architecture decisions), and large context windows.
| # | Model | Score |
|---|---|---|
| 1 | Claude Opus 4.7 (Fast)Anthropic | 95 |
| 2 | Claude Opus 4.7Anthropic | 95 |
| 3 | GPT-5.5OpenAI | 93 |
| 4 | Gemini 3.1 Pro Preview Custom ToolsGoogle | 92 |
| 5 | Gemini 3.1 Pro PreviewGoogle | 92 |
| 6 | GPT-5.4 ProOpenAI | 92 |
| 7 | GPT-5.4OpenAI | 92 |
| 8 | GPT-5.5 ProOpenAI | 91 |
| 9 | GPT-5.2 ProOpenAI | 91 |
| 10 | Claude Opus 4.6 (Fast)Anthropic | 90 |
| 11 | Claude Opus 4.6Anthropic | 90 |
| 12 | GPT-5.2-CodexOpenAI | 90 |
| 13 | GPT-5.2OpenAI | 90 |
| 14 | Grok 4.20xAI | 89 |
| 15 | GPT-5.3-CodexOpenAI | 89 |
| 16 | GPT-5 ProOpenAI | 89 |
| 17 | Gemini 3 Flash PreviewGoogle | 88 |
| 18 | Grok 4xAI | 88 |
| 19 | GPT-5.1-Codex-MaxOpenAI | 88 |
| 20 | GPT-5 CodexOpenAI | 88 |
| 21 | GPT-5OpenAI | 88 |
| 22 | GPT-5.1OpenAI | 87 |
| 23 | GPT-5.1-CodexOpenAI | 87 |
| 24 | GPT-5.1-Codex-MiniOpenAI | 87 |
| 25 | DeepSeek V4 ProDeepSeek | 87 |
| 26 | o3 Deep ResearchOpenAI | 87 |
| 27 | o3 ProOpenAI | 87 |
| 28 | o3OpenAI | 87 |
| 29 | Claude Sonnet 4.6Anthropic | 85 |
| 30 | Claude Opus 4.5Anthropic | 85 |
Generate Terraform, CloudFormation, Pulumi, and Kubernetes manifests. JSON mode ensures valid, parseable configuration output for CI/CD pipelines.
Reasoning models analyze requirements and design scalable architectures across AWS, Azure, and GCP. Get recommendations for service selection, networking, and security.
Analyze cloud spending patterns, identify waste, and suggest right-sizing. Function calling enables integration with cloud cost management APIs.
Stream log analysis in real-time, generate alert rules, and automate runbook creation. Large context windows handle complex multi-service debugging sessions.
Yes, reasoning-capable models design AWS, GCP, and Azure architectures including VPC layouts, IAM policies, auto-scaling configurations, and disaster recovery plans. They generate Terraform/CloudFormation templates from natural language requirements.
Models analyze resource utilization patterns, recommend right-sizing instances, identify unused resources, and suggest reserved instance strategies. Function calling enables direct interaction with cloud provider APIs for real-time cost analysis.
Models with large output capacity generate complete Terraform, Pulumi, or CDK templates. JSON mode ensures valid HCL/JSON output. Reasoning helps with complex dependency chains and conditional resource provisioning across multi-region deployments.
Reasoning identifies misconfigurations in IAM policies, security groups, and encryption settings. Large context windows analyze entire cloud configurations at once. Web search pulls current CIS benchmarks and compliance requirements.