如果你用AI时总担心费用，这篇聊透了怎么把便宜模型（如Qwen、DeepSeek）和贵模型（Claude、GPT）搭着用，省成本又出活。
作者JustinLin610指出前沿模型效果好但成本高，个人订阅用户可最大化token使用量（如Codex月费200美元可产生超8000美元token消耗）。企业按token计费时，可将简单格式化任务分配给Seed、Qwen、DeepSeek等便宜模型，复杂智能体任务交给Fable、Sol。GLM 5.2编码能力接近Claude和GPT，Grok类似。合理设计系统能提升生产力且不增加成本。
i recently discussed with some friends about the strike of model effects and costs. while frontier m...
i recently discussed with some friends about the strike of model effects and costs. while frontier models are smashing a lot of things it is always expensive to use them. me personally always think about using as many tokens as possible with my subscriptions and coding plans, and i think if i turn the usages to tokens that might be a much bigger amount of money (i remember a media previously said if u use codex crazily u can use over 8000 dollars a month with 200 dollar subscription. not sure about the number). how about enterprises that really use tokens and count expense on the unit of token? some interviewees told me that they tried their design their system by tasks, like easier or to say more formatted tasks go to seed, qwen, dpsk, harder tasks like agentic tasks go to fable or sol. glm 5.2 is nice for coding but still after claude and gpt, recent grok is a bit similar. this just reminds me that if we design the system well on the user side, we can have more productivity based on sufficient usage of ai today without too much worry about expense. maybe there is still much room for this. 💬 1 🔄 0 ❤️ 2 👀 324 📊 1 ⚡