Exploring AI Performance in UI/UX Design 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 the realms of user interface (UI), user experience (UX), and coding. To gather diverse perspectives, I engaged a global community of approximately 6,000 participants, collecting valuable data that sheds light on the current capabilities and limitations of leading AI tools.
About the Research
This initiative involved creating a crowd-sourced benchmarking platform for UI/UX, which is accessible at DesignArena.ai. Users can generate websites, games, 3D models, and data visualizations using different AI models and compare their outputs side-by-side. Over the past few months, nearly 4,000 votes from roughly 5,000 users have contributed to a comprehensive understanding of AI performance across multiple categories.
Key Findings
- Top Performers in Coding and Design: Claude and DeepSeek
The leaderboard prominently features Claude Opus as a standout, highly favored among users for its coding and design capabilities. Following closely are DeepSeek’s v0 models, particularly lauded for website development, and an unexpected dark horse—Grok. Despite Grok’s impressive performance, its slower processing speeds may influence its practicality. For interface development, Claude’s speed and reliability make it an excellent choice.
- Grok 3: An Underappreciated Contender
Although not as widely recognized due to external factors like Elon Musk’s controversial profile, Grok 3 deserves attention. It ranks within the top five for performance and offers significantly faster response times compared to its peers, making it a compelling option for developers seeking efficiency.
- The Variability of Gemini 2.5-Pro
Opinions on Gemini 2.5-Pro vary widely. While some users report strong UI/UX creation, others encounter poorly designed outputs. Its ability to generate well-structured business logic is notable, but inconsistent results suggest it may not be the most dependable choice across all projects.
- Status of OpenAI and Meta’s Models
OpenAI’s GPT models generally perform in the middle tier, delivering acceptable results but still showing room for improvement. Meanwhile, Meta’s Llama models lag behind their competitors, highlighting ongoing challenges in achieving comparable performance levels. This disparity perhaps underlines Meta’s recent massive investments in AI talent acquisition.
Final Thoughts
