$30/M Input and $180/M Output Tokens is nuts. Ridiculous expensive for not that great bump on intelligence when compared to other models.
$2/M Input Tokens $15/M Output Tokens
Claude Opus 4.6
$5/M Input Tokens $25/M Output Tokens
61–70 of 868 posts
$30/M Input and $180/M Output Tokens is nuts. Ridiculous expensive for not that great bump on intelligence when compared to other models.
$2/M Input Tokens $15/M Output Tokens
Claude Opus 4.6
$5/M Input Tokens $25/M Output Tokens
$30/M Input and $180/M Output Tokens is nuts. Ridiculous expensive for not that great bump on intelligence when compared to other models.
This should not be shocking.
Article: https://openai.com/index/introducing-gpt-5-4/ gpt-5.4 Input: $2.50 /M tokens Cached: $0.25 /M tokens Output: $15 /M tokens --- gpt-5.4-pro Input: $30 /M tokens Output: $180 /M tokens Wtf
Looks like it's an order of magnitude off. Missprint?
I use ChatGPT primarily for health related prompts. Looking at bloodwork, playing doctor for diagnosing minor aches/pains from weightlifting, etc. Interesting, the "Health" category seems to report worse performance compared to 5.2.
This was definitely missing before, and a frustrating difference when switching between ChatGPT and Codex. Great addition.
No Codex model yet
"GPT‑5.4 interprets screenshots of a browser interface and interacts with UI elements through coordinate-based clicking to send emails and schedule a calendar event." They show an example of 5.4 clicking around in Gmail to send an email. I still think this is the wrong interface to be interacting with the internet. Why not use Gmail APIs? No need to do any screenshot interpretation or coordinate-based clicking.
Earlier quoted context omitted.
One could argue that LLMs learning programming languages made for humans (i.e. most of them) is using the wrong interface as well. Why not use machine code?
because they are inherently text based as is code?