hmate9

3 mistakes (so far) out of ~400 is still a pretty good hit rate

Napkin math if we assume gpt 6 astra on max is >$15 million (just for output tokens) for those wondering.

This model is not for builders and engineers. DeepSWE score of 49% is behind gpt 5.4 and muse spark. It's clearly intended to be an efficient model for google gemini usage.

What is interesting is how this is announced before any Gemini Pro progress. From the outside it seems as though Google cannot keep up with other frontier models.

Thank you guys for the feedback. I'll fix valid words being rejected, having space as a keyboard shortcut for shuffle, and maybe a "zen" mode without a timer.

What is this prediction based on?

You can pay the most if you can get the most value out of it

Not defending this, and it's far from ideal, but also credit card details were already pretty much confirming identities already.

This is incredibly bullish for china and open source models