Usage dropping too quickly

Feedback thread ID thread ID 019c8e57-2892-7be1-9304-fc8c29bce3af

I didn't copy my feedback text in it but it was detailed enough. Main idea is that usage limit dropped way too quickly, I think I was downgraded from 2X limits back to 1X limits, and started consuming credits :(

Potential duplicates detected. Please review them and close your issue if it is a duplicate.

Powered by Codex Action

Having similar issue right now with gpt-5.3-codex-spark. Regular gpt-5.3-codex seems to be consuming limits as usually, while with spark I've spent about 15% of weekly limits (Pro) in 10 minutes.

Same for me! Consumed like 40% of my weekly usage today, using GPT-5.3 Codex, both Codex App and Codex CLI, this feels unreal!

Seeing this as well - Pro account, consumed 10% in a couple of hours. Past entire month the 2x quota was working perfectly gpt-5.3-codex high

Woke up to 27% missing after spending the last several hours before that only having used a couple

E: Due to the number of issues I am experiencing I have stopped all of my codex processes and the usage is still being consumed, lost another 3% between then and now

I'm seeing a drop of 1% on every prompt. Had two small changes, ran a /review consumed 1% on weekly.

i upgraded to the $200 pro plan last night and have used 10% of my weekly limit within 24 hours...

Thanks for reporting the problem. I thought we had fixed this problem and put it to bed, but it sounds like there's still some issue. Apologies. We'll try to get to the bottom of it quickly.

To help us out, could I get user IDs from a few of you who are seeing this? That will help us accelerate our investigation. To get your user ID, go to https://chatgpt.com/codex, click on icon in the upper right corner to display the profile menu, then click on the top menu item. This will copy your user ID to the clipboard. It should look like "user-". Post that below so we can directly look up your account.

user-jYCnlbS06oGZr3keY5J5TG78

E: v +1, the numbers go back and forth wildly, each TUI session reporting different values, and the website also being different. I vastly preferred the case where it felt like I didn't have to worry about this and could simply do the work I wanted to. This amount of usage is substantially accelerated past "2x not being applied", the raw session logs that the TUI app writes are indicating 15x consumption

Thanks for reporting the problem. I thought we had fixed this problem and put it to bed, but it sounds like there's still some issue. Apologies. We'll try to get to the bottom of it quickly.

To help us out, could I get user IDs from a few of you who are seeing this? That will help us accelerate our investigation. To get your user ID, go to https://chatgpt.com/codex, click on icon in the upper right corner to display the profile menu, then click on the top menu item. This will copy your user ID to the clipboard. It should look like "user-". Post that below so we can directly look up your account.

Appreciate your reply. My user ID: user-zRdWbpZQTFZAoOIvqgi7iTtq

For your info:

High usage today. I used the Codex App for a while and about 30% of my weekly usage was consumed.
My usage didn't reset yesterday, even though it was announced.
I see my usage constantly fluctuating. For example, sometimes I see on both Codex and the web that my usage is at 70%, then after a while, it goes back to 30%. After some time, it shows 60% again, etc.

I'm open to more question in case you need them (or provide logs or whatever).
Thanks.

@etraut-openai

@etraut-openai user-XGVKRizj4f3SBIIUqva0hmSG - mine's drained to weekly 88% with just a couple more prompts. Essentially 12% in just a few hours.

You can see my weekly usage per day for the entire week, compared to just today. And today was perhaps a very slow day, did not use codex much at all.

user-WO80XRMuQXS5ncJJ6FLJ2Zlp

I'd like to work on this issue. I've analyzed the codebase and have a fix ready.

I computed my limits (on Plus plan) to be 75M for 5H and 250M for weekly. Anyone can share their results or even know what the limits were before the x2 promo?

Honestly by looking at my weekly tokens/estimated cost since September, I don't even think I have the x2 promo applied. It matches my experience, I never felt like my limits become better. Initially I upgraded from Medium to High but I immediately noticed limits going down faster so I reverted to Medium. I believe I've been using Codex more often but I'm also hitting limits which rarely happened before and I don't think I'm using 2x more. I even mentioned this on Reddit on February 4th but most people didn't feel the same experience so I just thought it was my usage... but apparently not.

After the reset, I just drained 50% of weekly usage in just two 5h windows, with got 5.3 codex medium and 2x usage limits in codex app... this still feels off

Thanks for all the bug reports. We are aware of this issue and are working on a fix.

We don't need additional reports at this time. I'm going to lock this issue temporarily.

Thanks for your patience as we worked through this issue.

As I mentioned above, we identified a problem that explains some of the behaviors described in this thread. It resulted in erratic usage reporting. Some users reported that the remaining usage sometimes appeared to drop suddenly or oscillate between a higher and lower value. Other users reported inconsistent usage stats between the local client and the web usage dashboard. These problems were due to a syncing issue between regions (data centers). The problem disproportionately affected users who are geographically located on boundaries between regions.

We've added a mechanism to reduce sync latency between data centers. If your requests happen to be routed to different regions, you may still see minor differences in usage stats, but it should never be more than a few percent and only over short time windows.

We don't think that this issue explains all of the reports of higher-than-expected usage. We investigated many such reports and didn't identify any other problems with usage accounting. We think that these are largely explained by a combination of the following:

If you're using gpt-5.4, this will consume usage about 30% faster than gpt-5.3-codex.
If you use "fast mode", this will consume usage at a 2x rate.
If you use the large context window (a new experimental feature available with gpt-5.4), this will consume usage at a 2x rate.
If you enable the experimental multi_agent feature, subagents will typically consume tokens at a higher rate than if you are not using subagents. As we continue to refine this experimental feature, some changes may affect token consumption. If you are concerned about usage consumption, leave this feature in its default (disabled) state for now.
Manually enabling feature flags for features that are still under development may consume tokens at a much higher rate. We don't recommend doing this.

If you think that you are seeing higher-than-expected usage consumption that is not explained by the above and have strong evidence and/or analysis to back it up, please let us know.

I'm going to close this issue and keep it locked because it's already so long that it's hard for Github to render.

Navigation Menu

Repository navigation

Usage dropping too quickly #13568

312 remaining items

Metadata

Assignees

Labels

Type

Projects

Milestone

Relationships

Development

Usage dropping too quickly #13568

Description

Activity

github-actions commented on Mar 5, 2026

Gusarich commented on Mar 5, 2026

dhpancor commented on Mar 5, 2026

guidedways commented on Mar 5, 2026

doublemover commented on Mar 5, 2026

guidedways commented on Mar 5, 2026

thebobbyboy420 commented on Mar 5, 2026

etraut-openai commented on Mar 5, 2026

doublemover commented on Mar 5, 2026

dhpancor commented on Mar 5, 2026

guidedways commented on Mar 5, 2026

guidedways commented on Mar 5, 2026

sibonyves commented on Mar 5, 2026

312 remaining items

OnlyTerp commented on Mar 8, 2026

calves07 commented on Mar 8, 2026

Michelh91 commented on Mar 8, 2026

etraut-openai commented on Mar 8, 2026

etraut-openai commented on Mar 12, 2026

Metadata

Metadata

Assignees

Labels

Type

Projects

Milestone

Relationships

Development

Issue actions