The search for speed is vain. Often Claude Code Opus 4.6, on hard enough problems, can do the impression of acting fast without really making progresses because of lack of focus on what matters. Then you spin the much slower GPT 5.3-Codex and it fixes everything in 3 minutes of doing the right thing.

▲

mickeyp 6 hours ago | parent | next [-]

I disagree. This is great for bulk tasks: renaming, finding and searching for things, etc

	▲	ghosty141 3 hours ago \| parent [-]
		What codex often does for this, write a small python script and execute that to bulk rename for example. I agree that there is use for fast "simpler" models, there are many tasks where the regular codex-5.3 is not necessary but I think it's rarely worth the extra friction of switching from regular 5.3 to 5.3-spark.

▲

Aurornis 6 hours ago | parent | prev | next [-]

I will always take more speed. My use of LLMs always comes back to doing something manually, from reviewing code to testing it to changing direction. The faster I can get the LLM part of the back-and-forth to complete, the more I can stay focused on my part.

▲

jusgu 6 hours ago | parent | prev [-]

disagree. while intelligence is important, speed is especially important when productionizing AI. it’s difficult to formalize the increase in user experience per increase in TPS but it most definitely exists.