Topfi

So 10x-20x vs Deepseek v4.1 Flash and I don't have on hand how efficient Mistral is regarding cache hits, etc.

On the other hand, could be some decent competition lowering pricing if the models general performance warrants broad hosting.

Mainly saw the severity in the economic impact of having to quickly patch so much, but taking offline being the right choice given the risk, along with of course all the decades old, never patches, blogs being botnet targets someday in the future, akin to Wordpress being commonly used for Ransomware hosting for similar reasons. And of course hopefully learning something from the timeline and leak for future disclosures. Feel things need to generally change from the status quo, barely has changed since the 2015 Google/MSFT squabble...

In all seriousness, if Google must continue gambling on pre-train runs, at least have a useful naming scheme. Like the month it was post-trained and the parameter count. At least that’d provide some insight.

Gemini 2T 10/26, bit of a mouthful but is it truly that much worse?

So if they are still vetting and changes can thus happen, that'd mean the score could change for better or worse. Not sure they'd want the embarrassment of a #1 score changing after announcement.

Gemini 4 Argon (at best Sonnet/Terra level) meanwhile took weeks to “come out” after their public announcement and when it finally did, paying Google AI plan users couldn't access Argon on Gemini or Antigravity even a week after. Three weeks from announcement to accessible for paying customers is not standard outside Google and this has been a problem with every Gemini release for the last year, so even using governmental requirements as an excuse isn’t possible here.

I will say that I dislike how OpenAI releases model only for Work and Codex but not via Chat, Anthropics "everywhere all at once" strategy is I feel the most user friendly.