Understanding AI Performance in UI/UX and Coding: Insights from a Global Survey

In recent months, I embarked on an extensive research project to evaluate how various AI models perform in designing user interfaces, enhancing user experience, and coding. To achieve this, I created a crowdsourced benchmarking platform where over 4,000 users participated in rating AI-generated outputs across diverse creative tasks, including website creation, game development, 3D modeling, and data visualization. This initiative aims to provide clear insights into the strengths and limitations of leading AI models in practical applications.

About the Research

All data collected and AI outputs examined are open-source and freely generated. This project is solely driven by a passion for understanding AI capabilities and sharing findings with the community—no commercial motives involved.

Key Findings from the Benchmark

1. Top Performers in Coding and Design
   Among the evaluated models, two stand out for their overall excellence: Claude and DeepSeek. Users consistently favored Claude Opus, which topped the leaderboard, especially in interface design and development tasks. DeepSeek’s models, particularly v0, also performed remarkably well, notably in website generation. However, it’s worth noting that DeepSeek’s outputs tend to be slower to produce, making Claude a more practical choice for real-time development scenarios.

2. The Hidden Gem: Grok 3
   Despite less mainstream recognition, Grok 3 has proven to be a formidable contender. It is not only among the top five models in terms of quality but also offers faster response times compared to many competitors. This combination of efficiency and effectiveness makes Grok 3 a noteworthy option for developers and designers seeking reliable AI assistance.

3. Varied Performance of Gemini 2.5-Pro
   The Gemini 2.5-Pro model exhibits inconsistent results. Some users have expressed disappointment, citing its lower placement in the rankings. While it can generate well-designed UI/UX elements in certain instances, it often produces less usable outputs or poorly developed applications. Nevertheless, it retains a decent capacity for coding business logic, which may suit specific project needs.

4. Position of OpenAI and Meta’s AI Models
   OpenAI’s GPT models fall squarely in the middle of the performance spectrum, showcasing solid capabilities but missing out on top-tier rankings. Conversely, Meta’s Llama models lag significantly behind their competitors in UI/UX and coding tasks, an underperformance that aligns with recent reports of talent acquisition efforts by Meta to bolster their