This article shares the author’s hands-on experience using various AI models, including GPT-5.2-thinking for solution generation, Claude-4.5-opus for code refactoring, and DeepSeek-R1-0528 for Chinese language analysis. The author reviews the migration process from GPT-4o to Gemini-2.5 and delves into the confusion caused by the rise of Gemini-3-flash, highlighting its high ratings and cost-effectiveness. The piece explores model selection strategies for different scenarios, such as reasoning tasks, multimodal processing, and daily applications, aiming to help readers optimize their AI tool usage and boost productivity. By comparing responses from various models using the same prompts, the author emphasizes the diversity and practicality of model selection and encourages community discussion to share further insights. This content serves as a valuable reference for AI users, helping them quickly and accurately choose the right models for their daily work and avoid common pitfalls.
