[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-模型比較":3},{"tag":4,"articles":10,"peer_article_count":11},{"id":5,"name":6,"slug":6,"article_count":7,"description_zh":8,"description_en":9},"4b413fc6-0651-4005-9031-1453c2b57a32","模型比較",3,"模型比較關注不同 AI 模型在基準測試、上下文長度、授權條款、推理能力與產品整合上的差異。對開發者來說，重點不只是哪個分數高，還包括自架成本、提示穩定性，以及在聊天、搜尋、工作流程中的實際表現。","Model comparison focuses on how AI systems differ in benchmarks, context length, licensing, reasoning quality, and product integration. For developers, the key question is not just which model scores higher, but how it behaves in self-hosting, prompting, and real workflows such as chat, search, and office tools.",[],6]