Summary
Codex usage accounting appears to drain the 5-hour limit abnormally fast on ChatGPT Plus, especially on July 2, 2026. Based on local Codex session logs on macOS, the primary 5-hour usage jumped from 70% to 100% in about 5 minutes 48 seconds during ordinary interactive use, and another local session shows 71% already consumed before the visible prompts in that session began.
This does not look like normal model usage. It looks like either:
- incorrect usage accounting,
- hidden/background usage attribution,
- or a serious regression in per-turn weighting.
Environment
- Platform: macOS
- Plan: Plus
- App: Codex Desktop / VS Code source
- Observed models in affected sessions:
gpt-5.5 with medium effort
- another July 2 investigation session on
gpt-5.4 with medium effort also continued draining rapidly
Strongest evidence
Post-reset timeline on July 2, 2026
From local Codex usage log events after the reset:
- 2026-07-02 15:18:21 IST -> 1%
- 2026-07-02 15:18:30 IST -> 2%
- 2026-07-02 15:18:46 IST -> 3%
- 2026-07-02 15:19:21 IST -> 6%
- 2026-07-02 15:19:41 IST -> 7%
- 2026-07-02 15:20:00 IST -> 9%
Then later in the same local session history:
- 2026-07-02 15:40:11 IST -> 70%
So the local logs show a post-reset climb from 1% to 9% within about 1 minute 39 seconds, followed by a jump to 70% within about 21 minutes 50 seconds. I am not attaching raw session files here because they contain prompts, outputs, and local workspace details. I can provide sanitized token_count / rate_limits lines only if needed.
Session 019f1ee9-693d-7251-bd45-953c7de51d84
Local session file:
~/.codex/sessions/2026/07/01/rollout-2026-07-01T23-50-41-019f1ee9-693d-7251-bd45-953c7de51d84.jsonl
This session is explicitly recorded as gpt-5.5 with medium effort.
Primary 5-hour usage timeline:
- 2026-07-01 23:51:00 IST -> 5%
- 2026-07-01 23:51:04 IST -> 7%
- 2026-07-01 23:52:49 IST -> 15%
- 2026-07-01 23:53:44 IST -> 20%
- 2026-07-02 15:18:21 IST -> 1%
- 2026-07-02 15:18:30 IST -> 2%
- 2026-07-02 15:18:46 IST -> 3%
- 2026-07-02 15:19:21 IST -> 6%
- 2026-07-02 15:19:41 IST -> 7%
- 2026-07-02 15:20:00 IST -> 9%
- 2026-07-02 15:40:11 IST -> 70%
- 2026-07-02 15:40:22 IST -> 72%
- 2026-07-02 15:42:05 IST -> 77%
- 2026-07-02 15:42:39 IST -> 80%
- 2026-07-02 15:43:13 IST -> 84%
- 2026-07-02 15:43:56 IST -> 87%
- 2026-07-02 15:44:58 IST -> 95%
- 2026-07-02 15:45:37 IST -> 98%
- 2026-07-02 15:45:59 IST -> 100%
That is a rise from 70% to 100% in about 5 minutes 48 seconds.
Session 019f224e-b04a-7ee2-a2ab-b61b66f3c944
Local session file:
~/.codex/sessions/2026/07/02/rollout-2026-07-02T15-40-10-019f224e-b04a-7ee2-a2ab-b61b66f3c944.jsonl
This session shows:
- 2026-07-02 15:42:07 IST -> 77%
- 2026-07-02 15:43:16 IST -> 85%
- 2026-07-02 15:43:25 IST -> 86%
- 2026-07-02 15:43:33 IST -> 87%
Important detail: another local session file showed the early post-reset 1%-9% steps above, but this session history is where the later 70%-100% drain is clearly visible.
Session 019f17cd-bde4-7802-8e91-07528398fb02
Local session file:
~/.codex/sessions/2026/06/30/rollout-2026-06-30T14-43-07-019f17cd-bde4-7802-8e91-07528398fb02.jsonl
This earlier session shows a much more gradual pattern at the beginning:
- 2026-06-30 14:46:27 IST -> 3%
- 2026-06-30 14:46:33 IST -> 4%
- 2026-06-30 14:46:46 IST -> 5%
- 2026-06-30 14:47:06 IST -> 6%
- 2026-06-30 14:47:50 IST -> 7%
- 2026-06-30 14:48:16 IST -> 8%
- 2026-06-30 14:48:31 IST -> 9%
- 2026-06-30 14:48:36 IST -> 10%
- 2026-06-30 14:49:13 IST -> 11%
- 2026-06-30 14:49:19 IST -> 12%
- 2026-06-30 14:49:33 IST -> 13%
This makes the July 2 behavior stand out as abnormal.
Why this looks broken
- A local
gpt-5.5 session rose from 70% to 100% in under 6 minutes.
- Another July 2 local session already started with most of the 5-hour budget gone, with no local session artifact from 15:25 IST to 15:40 IST explaining that jump.
- The earlier June 30 session shows a much more incremental consumption pattern.
- OpenAI publicly said a Codex usage-drain fix had been deployed on June 30, 2026, but this July 2 behavior still appears broken.
Ask
- Can you investigate whether usage accounting is overcharging or attributing hidden/background work to the 5-hour limit?
- Can you confirm whether per-turn weighting changed for Plus users around July 1-2, 2026?
- If useful, I can provide the exact local JSONL session files and the
token_count / rate_limits events from those files.
Summary
Codex usage accounting appears to drain the 5-hour limit abnormally fast on ChatGPT Plus, especially on July 2, 2026. Based on local Codex session logs on macOS, the primary 5-hour usage jumped from 70% to 100% in about 5 minutes 48 seconds during ordinary interactive use, and another local session shows 71% already consumed before the visible prompts in that session began.
This does not look like normal model usage. It looks like either:
Environment
gpt-5.5withmediumeffortgpt-5.4withmediumeffort also continued draining rapidlyStrongest evidence
Post-reset timeline on July 2, 2026
From local Codex usage log events after the reset:
Then later in the same local session history:
So the local logs show a post-reset climb from 1% to 9% within about 1 minute 39 seconds, followed by a jump to 70% within about 21 minutes 50 seconds. I am not attaching raw session files here because they contain prompts, outputs, and local workspace details. I can provide sanitized
token_count/rate_limitslines only if needed.Session
019f1ee9-693d-7251-bd45-953c7de51d84Local session file:
~/.codex/sessions/2026/07/01/rollout-2026-07-01T23-50-41-019f1ee9-693d-7251-bd45-953c7de51d84.jsonlThis session is explicitly recorded as
gpt-5.5withmediumeffort.Primary 5-hour usage timeline:
That is a rise from 70% to 100% in about 5 minutes 48 seconds.
Session
019f224e-b04a-7ee2-a2ab-b61b66f3c944Local session file:
~/.codex/sessions/2026/07/02/rollout-2026-07-02T15-40-10-019f224e-b04a-7ee2-a2ab-b61b66f3c944.jsonlThis session shows:
Important detail: another local session file showed the early post-reset 1%-9% steps above, but this session history is where the later 70%-100% drain is clearly visible.
Session
019f17cd-bde4-7802-8e91-07528398fb02Local session file:
~/.codex/sessions/2026/06/30/rollout-2026-06-30T14-43-07-019f17cd-bde4-7802-8e91-07528398fb02.jsonlThis earlier session shows a much more gradual pattern at the beginning:
This makes the July 2 behavior stand out as abnormal.
Why this looks broken
gpt-5.5session rose from 70% to 100% in under 6 minutes.Ask
token_count/rate_limitsevents from those files.