Grok 4.5: AI BEATS GPT 5.5 on a BUDGET! #shorts

讲话者对某个模型的效率表达了极大的惊讶和高度赞扬，强调它“使用起来快得多”，而且费用比预期“便宜得多”，并强调这一发现是“一个重大突破”。 为了说明这一点，他们比较了三个特定模型：Fable 5、GPT 5.5 和 Grok 4.5。这三个模型都获得了“基本相同”的分数：Fable 5 获得了 77 分，而 GPT 5.5 和 Grok 4.5 都获得了 76 分。 然而，一个关键的区别在于“产生这些分数所需的成本”和“每个任务的 token 使用量”。在这方面，Fable 5 和 GPT 5.5 产生了“巨大”的成本。与此形成鲜明对比的是，Grok 4.5 以大大降低的成本，实现了“基本相同的工作量”和“相同的质量”，其成本被形象地描述为“麦当劳的工资水平”。讲话者最后有力地重申，这种在可比质量下的成本效率是“如此重要的大事”。

The speaker expresses significant surprise and strong praise for the efficiency of a particular model, highlighting that it feels "way faster to use" and results in a "cheaper bill" than anticipated, emphasizing this discovery as a "big deal." To illustrate this point, they compare three specific models: Fable 5, GPT 5.5, and Grok 4.5. All three models achieved "essentially identical" scores: Fable 5 scored 77, while GPT 5.5 and Grok 4.5 both scored 76. However, a crucial distinction lies in the "cost to produce those scores" and "token usage per task." Fable 5 and GPT 5.5 incurred "enormous" costs in this regard. In stark contrast, Grok 4.5 achieved "essentially the same work done" and "the same quality" at a drastically lower cost, metaphorically described as "on the McDonald's salary." The speaker concludes by forcefully reiterating that this cost efficiency for comparable quality is "such a big deal."