Insights from a Global Survey on AI Performance in UI/UX and Coding
In recent months, I embarked on an extensive research project to evaluate how various AI models perform in designing user interfaces, creating user experiences, and coding. To achieve this, I surveyed over 6,000 participants worldwide and developed a crowdsourced benchmark platform where users can generate and compare websites, games, 3D models, and data visualizations using different AI models.
Research Highlights and Key Findings
1. Leading AI Models for Design and Coding: Claude and DeepSeek Shine
Our data indicates that the Claude series, particularly Claude Opus, ranks highly among user preferences for both UI/UX design and coding tasks. The leaderboard reveals a dominance of Claude, complemented by DeepSeek models, especially version 0, which excels in website creation. Interestingly, the DeepSeek models have garnered attention for their capabilities, though they tend to operate at slower speeds, making Claude a more practical choice for interface development.
2. The Underrated Power of Grok 3
Despite lesser visibility compared to heavyweights like Claude and GPT, Grok 3 has proven itself to be a robust contender. Not only does it consistently rank within the top five, but it also outperforms many peers in processing speed—highlighting its potential as a fast and effective AI tool for design and coding tasks.
3. Gemini 2.5-Pro: A Mixed Bag
User feedback about Gemini 2.5-Pro has been mixed. While it demonstrates promise in UI/UX design, some users report that it sometimes produces poorly designed applications. However, it remains quite capable when it comes to coding business logic, making it a versatile, if somewhat inconsistent, option.
4. Comparative Performance of Industry Leaders
OpenAI’s GPT continues to offer decent but middling results in UI/UX and coding tasks. Meanwhile, Meta’s Llama family of models lags significantly behind their competitors in these domains, perhaps explaining their recent efforts to acquire top AI talent with substantial investments.
Key Takeaway
Despite rapid advancements, AI models still have considerable room for improvement in generating high-quality user interfaces, seamless user experiences, and accurate code in a single attempt. They often make notable mistakes in UI/UX design, even after multiple prompts, underscoring the continued necessity for human oversight and expertise.
For developers seeking reliable AI coding assistants, Claude remains the most promising option based on recent
