Posted by mudkipdev 6 hours ago
This was definitely missing before, and a frustrating difference when switching between ChatGPT and Codex. Great addition.
This is on the edge of what the frontier models can do. For 5.4, the result is better than 5.3-Codex and Opus 4.6. (Edit: nowhere near the RPG game from their blog post, which was presumably much more specced out and used better engineering setup).
I also tested it with a non-trivial task I had to do on an existing legacy codebase, and it breezed through a task that Claude Code with Opus 4.6 was struggling with.
I don't know when Anthropic will fire back with their own update, but until then I'll spend a bit more time with Codex CLI and GPT 5.4.
Not sure if this is more concerning for the test time compute paradigm or the underlying model itself.
Maybe I'm misunderstanding something though? I'm assuming 5.4 and 5.4 Thinking are the same underlying model and that's not just marketing.
It's the one you have access to with the top ~$200 subscription and it's available through the API for a MUCH higher price ($2.5/$15 vs $30/$180 for 5.4 per 1M tokens), but the performance improvement is marginal.
Not sure what it is exactly, I assume it's probably the non-quantized version of the model or something like that.
The performance improvement isn't marginal if you're doing something particularly novel/difficult.
https://www.svgviewer.dev/s/gAa69yQd
Not the best pelican compared to gemini 3.1 pro, but I am sure with coding or excel does remarkably better given those are part of its measured benchmarks.
Presumably this is where it'll evolve to with the product just being the brand with a pricing tier and you always get {latest} within that, whatever that means (you don't have to care). They could even shuffle models around internally using some sort of auto-like mode for simpler questions. Again why should I care as long as average output is not subjectively worse.
Just as I don't want to select resources for my SaaS software to use or have that explictly linked to pricing, I don't want to care what my OpenAI model or Anthropic model is today, I just want to pay and for it to hopefully keep getting better but at a minimum not get worse.
I have now switched web-related and data-related queries to Gemini, coding to Claude, and will probably try QWEN for less critical data queries. So where does OpenAI fits now?