Exploring 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 the realms of user interface (UI), user experience (UX), and coding. By engaging over 6,000 participants worldwide, I gathered meaningful data to understand the strengths and limitations of leading AI tools.
A Collaborative Benchmark for Creative and Technical Tasks
To facilitate this evaluation, I developed a crowdsourced benchmarking platform—Design Arena. This platform allows users to generate websites, games, 3D models, and data visualizations using different AI models. Participants can then compare outcomes to determine which models excel in specific tasks. So far, nearly 4,000 votes have been cast across around 5,000 users, providing a substantial dataset for analysis.
Key Findings from the AI Performance Evaluation
- Top Performers in Coding and Design: Claude and DeepSeek
The leaderboard prominently features Claude Opus as the preferred model for interface design and coding tasks. Following closely are DeepSeek models, particularly v0, renowned for their website creation capabilities, and Grok, which has emerged as a notable dark horse. However, it’s worth noting that DeepSeek models tend to operate slower, making Claude a more practical choice if speed is a priority.
- Grok 3: An Underestimated Powerhouse
Despite less visibility in mainstream AI discussions—partly due to associations with high-profile figures like Elon Musk—Grok 3 consistently ranks within the top five. Its performance is not only robust but also significantly faster than many rivals, making it an underrated but valuable tool.
- Varied Performance of Gemini 2.5-Pro
The Gemini 2.5-Pro model exhibits inconsistent results. While some users report excellent UI/UX outputs, others have observed poorly designed applications. It appears to perform well at coding business logic but occasionally falters in crafting polished interfaces. Feedback suggests that its overall effectiveness may depend heavily on specific use cases.
- OpenAI’s GPT and Meta’s Llama: Room for Improvement
GPT models from OpenAI continue to deliver moderate results, often requiring human oversight to refine outputs. Meanwhile, Meta’s Llama models lag behind competitors in both UI/UX and coding tasks, which could explain Meta’s recent heavy investments in AI talent acquisition.
Overall Perspective
While AI
