By category, I meant other language models in general. The point of others putting something up to beat Jev is to show that, to date, no one has bothered to produce something like Jev, because anyone with decent LLM experience can roll their own for purpose with little effort and have been doing so for years. And can beat it on any metric you choose.

Let me put it this way. OpenAI and Anthropic have a slight moat over the Chinese labs because they have strong training data and the most advanced RL strategies. It will take the Chinese labs significant R&D effort to bridge that, especially in math (and there is a good chance they will, provided they want to).

Jev has no moat other than the fact that no one else has bothered to package a model in this way. Another lab could build a strong competitor very quickly if they want to put the effort in. That's the point of this post. There is no uncertainty about what they have done, nothing to figure out. Someone just needs to do it. I'm not sure what to say if you can't see the difference between the two. Jev is worth celebrating because of the idea to package it in this way. But it is not a paradigm shift and that is likely a problem for them.