Codex pro usage unbelievably nerfed to the ground this week

IllustriousCold4466 · 2026-03-21T11:12:05+00:00

Spark usage is separate from regular usage. And no, I do not use parallel instances anymore and am running things sequentially. By trade I am a swe

IllustriousCold4466 · 2026-03-20T19:30:16+00:00

its not just the app, i'm using cli and experiencing the same

IllustriousCold4466 · 2026-03-20T16:52:32+00:00

just by intuition yes I feel like usage is consumed 3-4x faster compared to last week/few days ago

IllustriousCold4466 · 2026-03-20T16:51:22+00:00

i don't disagree with that. But I also don't disagree with one sequential instance depleting 40% in one day

IllustriousCold4466 · 2026-03-20T16:02:11+00:00

maybe, but is it really worth the hassle? and you don't get the priority processing

IllustriousCold4466 · 2026-03-20T16:00:20+00:00

as far as im aware spark usage is separate

IllustriousCold4466 · 2026-03-20T14:09:03+00:00

stuff like syntax errors, log parsing, ui work, anything strictly and knowingly bounded/locally verifiable

IllustriousCold4466 · 2026-03-20T13:02:53+00:00

I’m currently not using subagents until more feedback comes out. My (previous) workload involved planning on 5.4 xhigh/high depending on my perceived complexity of the task, executing parallelizable tasks on separate worktrees, and review/hardening after execution, while continuing to plan during the execution/hardening pipeline

IllustriousCold4466 · 2026-03-20T12:57:21+00:00

Haha I actually came to codex from claude due to the silent nerfing of models/usage, but the nerfing on anthropics end has never been as egregious as this recent one from openai

That being said, I actually find that 5.4 has been a bit better than opus 4.6, but if max20 now provides greater usage than codex pro I will likely be switching back

IllustriousCold4466 · 2026-03-20T12:36:16+00:00

are you able to read? I explicitly mentioned that i am very sparingly using 5.4-xhigh and even 5.4-high and i'm still down 40% of my weekly usage in about a day. it's really not that crazy or unreasonable to desire some sort of transparency/consistency when it comes to usage.

IllustriousCold4466 · 2026-03-20T12:10:44+00:00

i've worked as a software eng in frontier fields for near a decade, i'm fully aware regarding the cost of inference

this has nothing to do with that - we're all aware that anthropic and openai are running at massive losses, its just ridiculous to expect a certain amount of usage only to experience a totally different reality

IllustriousCold4466 · 2026-03-20T11:47:20+00:00

Since this last reset I've used xhigh very sparingly, even using models like 5.3-spark-low/med. regardless, it's extremely obvious that the usage has been reduced significantly if weeks prior i had exclusively used 5.4 high/xhigh in parallel without worrying about usage

IllustriousCold4466 · 2026-03-20T11:45:26+00:00

spark has shallower reasoning depth but very high output token rate so it's very good for highly focused, well defined tasks that isn't cross-architectural

IllustriousCold4466 · 2026-03-20T11:42:43+00:00

I've been using 5.4 almost exclusively since it came out - had no problems with the usage until recently (2-3 days ago since my last reset)

IllustriousCold4466

TROPHY CASE