In a technology reconstruction project, the author conducted in-depth testing of cutting-edge AI models including Deepseek, MiniMax M2.1, and Claude Opus 4.5 to evaluate their performance in real-world development scenarios. The article details the testing environment, including the use of Claude Code v2.0.74 with thinking mode disabled, and model mappings such as the pairing of Opus 4.5 with deepseek-reasoner. The author also shares development experience with multi-channel intelligent scheduling functionality, solving issues with upstream unavailability. By comparing responses from different models, the article reveals the strengths and weaknesses of domestic AI models versus international ones, providing valuable practical case studies for AI developers. Finally, the author mentions publishing three specific responses for community review, demonstrating the spirit of open-source collaboration.
Original Link:Linux.do
最新评论
I don't think the title of your article matches the content lol. Just kidding, mainly because I had some doubts after reading the article.
这个AI状态研究很深入，数据量也很大，很有参考价值。
我偶尔阅读 这个旅游网站。激励人心查看路线。
文章内容很有深度，AI模型的发展趋势值得关注。
内容丰富，对未来趋势分析得挺到位的。
Thank you for your sharing. I am worried that I lack creative ideas. It is your article that makes me full of hope. Thank you. But, I have a question, can you help me?
光纤技术真厉害，文章解析得挺透彻的。
文章内容很实用，想了解更多相关技巧。