183 models ranked for frontend development. Scored with bonuses for vision (design-to-code), large output (full components), large context (project-wide refactors), streaming, JSON mode, and reasoning.
| # | 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 | GPT-5.3-CodexOpenAI | 89 |
| 15 | GPT-5 ProOpenAI | 89 |
| 16 | Gemini 3 Flash PreviewGoogle | 88 |
| 17 | GPT-5.1-Codex-MaxOpenAI | 88 |
| 18 | GPT-5 CodexOpenAI | 88 |
| 19 | GPT-5OpenAI | 88 |
| 20 | GPT-5.1OpenAI | 87 |
| 21 | GPT-5.1-CodexOpenAI | 87 |
| 22 | GPT-5.1-Codex-MiniOpenAI | 87 |
| 23 | o3 Deep ResearchOpenAI | 87 |
| 24 | o3 ProOpenAI | 87 |
| 25 | o3OpenAI | 87 |
| 26 | Claude Sonnet 4.6Anthropic | 85 |
| 27 | Claude Opus 4.5Anthropic | 85 |
| 28 | Grok 4.20xAI | 89 |
| 29 | Gemini 2.5 ProGoogle | 84 |
| 30 | Gemini 2.5 Pro Preview 06-05Google | 84 |
Generate React, Vue, and Svelte components from descriptions. Large output models produce complete components with styles, types, and tests in one response.
Vision models convert Figma screenshots, wireframes, and mockups into production-ready HTML/CSS. Upload a design and get pixel-perfect implementation.
Write Tailwind CSS, CSS modules, and media queries. Models understand flexbox, grid layouts, and responsive breakpoints for mobile-first development.
Implement Redux, Zustand, React Context, and Pinia stores. Reasoning models design optimal state architectures and handle complex async flows.
Models ranking highest here generate production-ready component code with proper state management, hooks, and TypeScript types. Large output tokens (16K+) produce complete components. Reasoning ensures correct prop drilling, context patterns, and performance optimization.
Vision-capable models analyze Figma screenshots, mockups, and wireframes to generate HTML/CSS/React code. They handle responsive layouts, design system components, and CSS-in-JS patterns. Accuracy improves when providing design tokens and component specifications alongside the visual.
Models generate Tailwind CSS, CSS Modules, and styled-components code. They handle complex layouts (CSS Grid, Flexbox), responsive breakpoints, and animations. Reasoning helps with specificity issues and cascade conflicts that plague large CSS codebases.
Models identify bundle size issues, suggest code splitting strategies, optimize re-renders, and implement lazy loading. They analyze Lighthouse reports and recommend specific fixes. Function calling integrates with build tools for automated performance auditing.