Yes. I know. That was exactly what I said in my first comment.

On individual tasks Claude and GPT are comparable (as shown in the first two graphs), but on multiple step problems that require more autonomy Mythos is far better (as shown in the third graph).

This is the exact wording from my original comment

> So with that said, I think the graph under the "Cyber range results" is the important one. The ones at the top show that, yes, Mythos isn't too much better than any of the existing models on well constrained problems, but when the models are given ambiguous challenges that require multiple steps it's much, much better than anything on the market.