[00:03] but completely different results. Meet Sam and Tom. Sam chose GPT-6 Astra for complex math problems and terminal automation, while Tom picked Claude Fable 5.1 to build app interfaces and review code. So, who made the better
[00:17] numbers. On Frontier Math Tier 4, Astra scored 97.6% compared to Fable's 87.8%. On [snorts] Terminal Bench 4.0, Astra also took the lead with 57.9% against
[00:31] 55.8%. OpenAI even claims Astra cost around 63% less per task on that test. [music] But, don't count Fable out just yet. According to independent testing by Artificial Analysis, Fable scored higher
[00:45] >> with 66 points compared to Astra's 61. It also performed better on Humanities last exam with tools, scoring 65% against Astra's 57.2%. And when it came to building apps, Fable scored 74 out of 80, while Astra managed
[01:01] 72. Fable also maintained its edge in front-end design. Now, here's the funny part. Sam's dashboard looked like a website from 2009, while Tom struggled >> [music] >> So, they swapped projects, and suddenly
[01:14] everything made sense. Both had the same reaction, "Why didn't we do this from don't choose an AI model just because of its name. Choose the one that fits your its name. Choose the one that fits your work. So, are you team Sam or team Tom?
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