A recent CSDN post presents a hands-on benchmark comparing the multimodal capabilities of GPT, Kimi, and DeepSeek on open design tasks. The author designed a fair test to evaluate how each model handles design-related prompts, including generating visual concepts and interpreting design briefs. Key findings highlight that while GPT shows strong overall performance, Kimi and DeepSeek offer competitive results in specific design scenarios, often at lower cost. The benchmark methodology is transparent, making it a useful reference for developers integrating multimodal AI into design tools. For teams building AI-assisted creative applications, this comparison provides actionable data for model selection. The results also underscore the rapid progress of Chinese AI models in creative domains, challenging the dominance of Western counterparts.
A practical benchmark comparing GPT, Kimi, and DeepSeek on open design tasks reveals performance differences for AI-assisted design workflows.