300 models ranked for CI/CD and deployment automation. Scored with bonuses for function calling (pipeline triggers), JSON mode (config files), reasoning (debugging builds), large context, streaming, and web search.
| # | 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 | Claude Sonnet 4.6Anthropic | 89 |
| 12 | Claude Sonnet 4.5Anthropic | 89 |
| 13 | o3 ProOpenAI | 88 |
| 14 | Gemini 3 Flash PreviewGoogle | 89 |
| 15 | Grok 4.1 FastxAI | 87 |
| 16 | Grok 4.20 BetaxAI | 86 |
| 17 | Grok 4xAI | 86 |
| 18 | o3OpenAI | 86 |
| 19 | GPT-5.1OpenAI | 85 |
| 20 | GPT-5.4 NanoOpenAI | 85 |
| 21 | GPT-5.3-CodexOpenAI | 85 |
| 22 | GPT-5.2-CodexOpenAI | 85 |
| 23 | GPT-5.1-Codex-MaxOpenAI | 85 |
| 24 | o4 Mini Deep ResearchOpenAI | 85 |
| 25 | o4 Mini HighOpenAI | 85 |
| 26 | Grok Code Fast 1xAI | 85 |
| 27 | o4 MiniOpenAI | 84 |
| 28 | Gemini 3.1 Pro PreviewGoogle | 86 |
| 29 | Grok 4 FastxAI | 83 |
| 30 | MiMo-V2-OmniXiaomi | 85 |
Generate GitHub Actions, GitLab CI, Jenkins, and CircleCI pipeline configurations. JSON mode produces valid YAML-compatible structured output.
Analyze build logs, identify slow steps, and suggest caching strategies. Reasoning models evaluate parallelization opportunities and dependency graphs.
Create deployment scripts, rollback procedures, and blue-green deployment configs. Function calling enables integration with cloud providers and registries.
Generate Terraform, Pulumi, and CloudFormation templates. Models understand resource dependencies, state management, and drift detection.
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.