SemiAnalysis 指出,最快的完成并不总是最高效的。OpenAI 模型在短期 token 效率上表现明显,能快速完成当前任务,但会遗漏 Fable 本可处理的后续工作;Anthropic 模型长期能构建更好、更可读的代码库。他认为模型本身对 token 效率的影响,比使用者是谁更大。
The fastest finish is not always the most efficient one.
“From personal experience trying out different models, you can definitely see token efficiency on the OpenAI side. But it’s what I like to think of as short-term token efficiency.”
“Yes, I’ll get this immediate task done, but there are so many follow-ups that Fable would have just done, and Astra might have just not done for the sake of completing the task faster.”
“In the long term, I feel like the Anthropic models build you the better codebase, and definitely a more readable one. If you read some of these Astra tests, it’s something else.”
“I think models matter quite a bit for token efficiency, over which user is actually using them.”
来源:SemiAnalysis · x.com