300 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 | GPT-5.4 ProOpenAI | 94 |
| 2 | GPT-5.4OpenAI | 94 |
| 3 | GPT-5.4 MiniOpenAI | 93 |
| 4 | GPT-5.2 ProOpenAI | 93 |
| 5 | GPT-5.2OpenAI | 93 |
| 6 | Claude Opus 4.6Anthropic | 92 |
| 7 | GPT-5 ProOpenAI | 92 |
| 8 | o3 Deep ResearchOpenAI | 92 |
| 9 | Claude Opus 4.5Anthropic | 90 |
| 10 | GPT-5OpenAI | 90 |
| 11 | Gemini 3 Flash PreviewGoogle | 89 |
| 12 | Claude Sonnet 4.6Anthropic | 89 |
| 13 | Claude Sonnet 4.5Anthropic | 89 |
| 14 | o3 ProOpenAI | 88 |
| 15 | Grok 4.1 FastxAI | 87 |
| 16 | Grok 4.20 BetaxAI | 86 |
| 17 | Grok 4xAI | 86 |
| 18 | Gemini 3.1 Pro PreviewGoogle | 86 |
| 19 | o3OpenAI | 86 |
| 20 | GPT-5.1OpenAI | 85 |
| 21 | MiMo-V2-OmniXiaomi | 85 |
| 22 | MiMo-V2-ProXiaomi | 85 |
| 23 | GPT-5.4 NanoOpenAI | 85 |
| 24 | Seed-2.0-LiteByteDance | 85 |
| 25 | Qwen3.5-9BAlibaba | 85 |
| 26 | Seed-2.0-MiniByteDance | 85 |
| 27 | Gemini 3.1 Pro Preview Custom ToolsGoogle | 85 |
| 28 | GPT-5.3-CodexOpenAI | 85 |
| 29 | Qwen3.5 Plus 2026-02-15Alibaba | 85 |
| 30 | Kimi K2.5Moonshot AI | 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.
Based on our composite scoring updated hourly, the top-ranked models are shown at the top of this page. Rankings consider benchmarks, pricing, capabilities, and community adoption.
Yes, several models listed on this page offer free tiers or are fully open-source. Look for models marked as Free in the pricing column above.
We use a composite scoring system combining benchmark performance, capability matching, pricing, context window size, and community adoption. Scores are updated hourly.
Rankings refresh every hour using real-time data from benchmarks, API testing, and community metrics. The data shown always reflects the most current performance.