> The PRC also heavily utilizes export controls

Matters not for open weight models, no?

> if you have actually used unrestricted and enterprise grade versions of Claude, Mythos, GPT, and Gemini you see how far behind the open weight models are.

I really do feel like DeepSeek V4 Pro is often better than current Sonnet is, in the general case.

Opus 4.7 is a solid step above Sonnet, and Fable was a solid step above Opus 4.7. I've only had Fable for a few days, obviously, but I was decently impressed after Opus 4.8 being a downright disappointment for me (it's just too buggy; I had it go out of control 3 separate times on things Opus 4.7 never had any trouble with.) I still ran into limitations. It's not world-endingly great.

So, based on that, I think DeepSeek V4 Pro is, ignoring multi-modal capabilities, about a couple solid steps behind. Assuming model iteration will continue to decelerate, especially as Anthropic heads into IPO, I'm guessing that DeepSeek will probably be able to strike back with something further along. Of course we'll see how able and willing they are to stay open weight, but they've done well so far so, no reason to doubt them at the moment.

(There are some models that claim to be ahead of DeepSeek V4 Pro. I've tried some of them and really not been that impressed. Maybe it's a me issue.)

Now I reckon that most people just simply don't really need Mythos/Fable for most of what they do and using Mythos/Fable tokens in place of Sonnet-tier models would not make any sense. At my job we already mostly just use Sonnet as it is. I'm sure there is some cutting-edge research where you want the absolute best model available and sure, in that case, you're stuck with Anthropic for the moment.

But is that really everyone? After all, while Mythos was dominating the hype cycles, quite a lot of impressive LLM-assisted CVEs dropped that were not linked to Mythos.