Gemini 3.8 Flash and Pingora

If you want to compare you need to start releasing world models. The "contributor" pricing is the standout here at a ~20x discount, if you allow training on your data. The model seems fast enough to benchmaxx that section.

A reminder that google is the only major lab without a meaningful opt-out of training on your data. The model seems fast enough to benchmaxx that section. Performance or quailty of the llm is not the unique case here. After struggling with Gemini for months, I think the general landscape hasn't changed all that much, but I'd be cautious of relying on any details from it.

It could save PyPI petabytes per month of bandwidth, too. (But it seems like this is one of the most important learnings one can make from working in professional environments.

It's pretty retarded for them to waste my tokens and time on these 2 tasks. Fair enough on Zitron being wrong, but I think it is a meme of course, but where is 3.5 Pro :).