183 AI models ranked for developer use cases. Scored by quality plus bonus for function calling, JSON mode, streaming, and reasoning - the capabilities that matter most when building with AI APIs.
| # | 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 |
Let AI models call your functions and APIs. Essential for building agents, chatbots that take actions, and AI-powered workflows that interact with databases and external services.
Force AI responses into valid JSON for reliable parsing. Critical for data extraction, API responses, and any application that needs to process AI output programmatically.
Stream tokens as they generate for responsive user interfaces. Server-sent events (SSE) let you show AI responses in real-time - a must for any consumer-facing AI product.
Use premium models for complex reasoning and code generation. Use budget models for classification, extraction, and simple chat. Use open-source models for privacy and cost control.
Coding assistants (Cursor, Copilot, Claude Code) provide IDE-integrated experiences. AI APIs give you raw model access for custom integrations. This page ranks the underlying models - the same models power both assistant products and direct API access.
Three main patterns: 1) IDE assistants for real-time code suggestions and chat. 2) CLI tools for terminal-based development. 3) API integration for automated code review, testing, and documentation in CI/CD pipelines. Most developers use all three.
Large context windows (128K+) are the single most important feature - they let models understand your entire codebase. Reasoning is second for complex debugging and architecture decisions. Function calling enables tool integration. Streaming provides real-time feedback.
Free models handle common tasks well (boilerplate, simple functions, documentation). For complex architecture, security-sensitive code, and large codebase navigation, premium models with stronger reasoning and larger context windows provide significantly better results.