251 models ranked for microservices and distributed systems. Scored with bonuses for reasoning (architecture decisions), function calling (service contracts), JSON mode (API specs), large context (cross-service analysis), and streaming.
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.4 ProOpenAI | 92 |
| 2 | GPT-5.4OpenAI | 92 |
| 3 | GPT-5.2 ProOpenAI | 91 |
| 4 | Claude Opus 4.6 (Fast)Anthropic | 90 |
| 5 | Claude Opus 4.6Anthropic | 90 |
| 6 | GPT-5.2-CodexOpenAI | 90 |
| 7 | GPT-5.2OpenAI | 90 |
| 8 | Grok 4.20xAI | 89 |
| 9 | GPT-5.3-CodexOpenAI | 89 |
| 10 | GPT-5 ProOpenAI | 89 |
| 11 | Gemini 3 Flash PreviewGoogle | 88 |
| 12 | Grok 4xAI | 88 |
| 13 | GPT-5.1-Codex-MaxOpenAI | 88 |
| 14 | GPT-5 CodexOpenAI | 88 |
| 15 | GPT-5OpenAI | 88 |
| 16 | GPT-5.1OpenAI | 87 |
| 17 | GPT-5.1-CodexOpenAI | 87 |
| 18 | GPT-5.1-Codex-MiniOpenAI | 87 |
| 19 | o3 Deep ResearchOpenAI | 87 |
| 20 | o3 ProOpenAI | 87 |
| 21 | o3OpenAI | 87 |
| 22 | Claude Sonnet 4.6Anthropic | 85 |
| 23 | Claude Opus 4.5Anthropic | 85 |
| 24 | Gemini 2.5 ProGoogle | 84 |
| 25 | Gemini 2.5 Pro Preview 06-05Google | 84 |
| 26 | Gemini 2.5 Pro Preview 05-06Google | 84 |
| 27 | Claude Sonnet 4.5Anthropic | 82 |
| 28 | o4 Mini Deep ResearchOpenAI | 81 |
| 29 | o4 MiniOpenAI | 81 |
| 30 | Gemini 3.1 Pro Preview Custom ToolsGoogle | 81 |
Define service boundaries, design domain-driven microservices, and create API contracts. Reasoning models evaluate coupling, cohesion, and data ownership.
Generate Dockerfiles, Kubernetes manifests, Helm charts, and docker-compose configs. Models understand resource limits, health checks, and scaling policies.
Design Kafka topics, RabbitMQ exchanges, and event schemas. JSON mode produces structured event contracts compatible with schema registries.
Implement gRPC services, REST APIs, and GraphQL federation. Function calling models understand service-to-service authentication and circuit breakers.
Reasoning models analyze requirements to define service boundaries, API contracts, data ownership, and communication patterns (REST, gRPC, events). They suggest appropriate patterns like CQRS, saga, and circuit breaker based on the specific requirements.
Large context windows process distributed traces, logs from multiple services, and correlation IDs to trace issues across service boundaries. Reasoning identifies cascading failures and root causes in complex service meshes. Function calling queries observability platforms.
Models generate complete service templates with health checks, metrics, configuration, Dockerfile, Kubernetes manifests, and CI/CD pipelines. They support multiple languages and frameworks (Spring Boot, FastAPI, Express, Go). JSON mode outputs structured configuration.
JSON mode generates API schemas and message formats. Function calling tests APIs between services. Reasoning designs event schemas, handles eventual consistency patterns, and solves distributed transaction challenges. Large context processes multiple service contracts simultaneously.