Codex Cloud Rate Limit issue

[lunamidori5]

What version of Codex is running?

Cloud

What subscription do you have?

Pro / Teams

Which model were you using?

Cloud

What platform is your computer?

Arch Linux

What issue are you seeing?

1 task is maxing out the 5 hour rate limit and using 30% of my weekly limit

What steps can reproduce the bug?

Send a task to codex cloud

What is the expected behavior?

Being able to do my normal 10+ tasks a hour

Additional information

Here are some photos where you can see today is a showing odd usage...

[github-actions]

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

• Codex limits reached after 3 very small basic tasks #6003
• Usage limit exceeded, light usage #5994
• Usage limit exceeded error, without even using it actually. #5991
• Simple Request Used 18% of 5 hour limit/6% of Weekly Limit | Reconnecting #5977
• Both my 5 hours usage was at 0% and my weekly. After 1 prompt, 5 hour usage shot up to 22% and weekly shot upt to 40%. Why would weekly wear out faster than 5 hour? what caused this #5828

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[Abenezer0001]

where can i see my usage like that

[techjoec]

@tibo-openai I saw your reddit posts and such, but something is still wonky it seems. I did ~30 cloud tasks and the following CLI work (2 sessions) and hit my 5-hour on Pro? :(

l1 is Primary, l2 is secondary. And the random secondary of 23% makes me curious too....Really scratching my head and very saddened.

as of 4.30am UTC I have 1.5 hours left until my 5-hour limit resets. So I guess it reset around row #2? I probably had less cloud tasks run than my quoted 30 in that 5-hour too.

Timestamp	InputTokens	CachedTokens	Output	Reason	Tokens	l1	l2	Cache%	Out/In%	Reason%
2025-11-02T00:03:09.327Z	5,778,653	5,171,584	75,299	27,392	5,853,952	1.0	11.0	89.5%	1.30%	36.4%
2025-11-02T00:10:00.675Z	296,827	242,176	11,240	8,384	308,067	2.0	12.0	81.6%	3.79%	74.6%
2025-11-02T01:41:52.464Z	26,352,640	24,274,688	140,561	56,640	26,493,201	19.0	6.0	92.1%	0.53%	40.3%
2025-11-02T02:20:49.620Z	3,057,121	2,729,472	17,211	10,240	3,074,332	33.0	10.0	89.3%	0.56%	59.5%
2025-11-02T03:30:54.455Z	28,498,125	27,207,168	230,372	129,216	28,728,497	78.0	23.0	95.5%	0.81%	56.1%
2025-11-02T03:48:55.153Z	9,546	0	71	64	9,617	95.0	29.0	0.0%	0.74%	90.1%
2025-11-02T04:10:04.832Z	—	—	—	—	—	100.0	30.0	—	—	—

[techjoec]

where can i see my usage like that

https://chatgpt.com/codex/settings/usage

Change the drop down to Weekly

[techjoec]

I just burned my next 5-hour usage in about 60 mins..These are 'end of session' stats just for a glance.

Timestamp	InputTokens	CachedTokens	Output	Reason	Tokens	l1	l2	Cache%	Out/In%	Reason%
2025-11-02T07:59:43.173Z	27,009,104	26,430,080	101,882	32,768	27,110,986	66.0	50.0	97.9%	0.38%	32.1%
2025-11-02T08:07:03.551Z	3,682,497	3,186,048	36,323	20,160	3,718,820	76.0	53.0	86.5%	0.99%	55.5%
2025-11-02T08:32:49.420Z	4,154,169	3,848,960	18,121	9,920	4,172,290	96.0	59.0	92.7%	0.44%	54.7%
2025-11-02T08:36:26.810Z	66,570,198	62,489,088	238,626	140,352	66,808,824	96.0	59.0	93.9%	0.36%	58.8%
2025-11-02T08:43:55.000Z	1,349,797	1,174,400	10,502	6,720	1,360,299	100.0	60.0	87.0%	0.78%	64.0%

And about two dozen cloud messages. Again this is on Pro too. :(

[lunamidori5]

Update... goodness... two small tasks and it uses all of my usage?

adding spacing

[techjoec]

I am on .49 still, as I really fear the updates with a lot of these issues for the record. But I also see duplicating token_count entries in rollout like this constantly (some are duplicate token counts...about 10% in a sample of a few hours??):

{
"timestamp": "2025-11-02T00:13:05.946Z",
"type": "turn_context",
"payload": {
"cwd": "/github/repos/XXXYYYZZZ",
"approval_policy": "never",
"sandbox_policy": {
"mode": "danger-full-access"
},
"model": "gpt-5",
"effort": "high",
"summary": "auto"
}
}
{
"timestamp": "2025-11-02T00:13:06.253Z",
"type": "event_msg",
"payload": {
"type": "token_count",
"info": {
"total_token_usage": {
"input_tokens": 272648,
"cached_input_tokens": 250496,
"output_tokens": 1864,
"reasoning_output_tokens": 1280,
"total_tokens": 274512
},
"last_token_usage": {
"input_tokens": 22482,
"cached_input_tokens": 22272,
"output_tokens": 43,
"reasoning_output_tokens": 0,
"total_tokens": 22525
},
"model_context_window": 258400
},
"rate_limits": {
"primary": {
"used_percent": 2.0,
"window_minutes": 300,
"resets_at": 1762059736
},
"secondary": {
"used_percent": 12.0,
"window_minutes": 10080,
"resets_at": 1762471693
}
}
}
}
{
"timestamp": "2025-11-02T00:13:12.239Z",
"type": "event_msg",
"payload": {
"type": "token_count",
"info": {
"total_token_usage": {
"input_tokens": 295233,
"cached_input_tokens": 272896,
"output_tokens": 2215,
"reasoning_output_tokens": 1472,
"total_tokens": 297448
},
"last_token_usage": {
"input_tokens": 22585,
"cached_input_tokens": 22400,
"output_tokens": 351,
"reasoning_output_tokens": 192,
"total_tokens": 22936
},
"model_context_window": 258400
},
"rate_limits": {
"primary": {
"used_percent": 2.0,
"window_minutes": 300,
"resets_at": 1762059736
},
"secondary": {
"used_percent": 12.0,
"window_minutes": 10080,
"resets_at": 1762471693
}
}
}
}

[techjoec]

Hit my weekly in like three or four five hour limits. Locked out til my pro is supposed to renew in six days. Guess that makes my decision to downgrade from pro easier. Considering a charge back with the bank given the mid term rug pull.

[techjoec]

I just got home and sat down looking at the numbers...This is really stupid. I am under 24 hours into my week and hosed. And again, mucking with this stuff coming into a weekend..I love you guys pouring your heart and soul into this stuff, and I'm sure it wasn't your call to push to prod on a Friday, but W T F. And it's definitely broke as Web keeps flirting with me being at my quota, and near my quota, randomly. Hopefully GPT isn't doing the math on the backend here, as we know 3+7=banana randomly... 👎

Per day breakdown per Codex usage report JSON (which doesnt even add up to 100% ??? )

{
"data": [
{
"date": "2025-11-01",
"product_surface_usage_values": {
"cli": 4.734244660872603,
"vscode": 0.0,
"web": 19.14151781164927,
"slack": 0.0,
"sdk": 0.0,
"exec": 0.0,
"github_turn": 0.06114338122898196,
"github_code_review": 0.7460948304726966
}
},
{
"date": "2025-11-02",
"product_surface_usage_values": {
"cli": 5.380617548150413,
"vscode": 0.0,
"web": 39.7206329795752,
"slack": 0.0,
"sdk": 0.0,
"exec": 0.0,
"github_turn": 0.0,
"github_code_review": 0.0
}
}
],
"units": "percent"
}

And via the 'usage' JSON:

{
"plan_type": "pro",
"rate_limit": {
"allowed": true,
"limit_reached": false,
"primary_window": {
"used_percent": 0,
"limit_window_seconds": 18000,
"reset_after_seconds": 18000,
"reset_at": 1762147153
},
"secondary_window": {
"used_percent": 100,
"limit_window_seconds": 604800,
"reset_after_seconds": 521436,
"reset_at": 1762650589
}
},
"credits": {
"unlimited": false,
"balance": "0",
"approx_local_messages": [
0,
0
],
"approx_cloud_messages": [
0,
0
]
}
}