I'm on the ChatGPT Pro 5x plan, and I've been tracking Codex usage from the local rollout logs together with the server-side weekly used_percent.

Comparing a large workload immediately before the Aug 13 global reset with my usage after the reset, it looks like my effective weekly allowance may have dropped from roughly 18k credits to 10k credits — about a 44% reduction.

I'm curious whether other Pro 5x users are seeing the same thing.

Before the Aug 13 reset

On Aug 12–13, a Sol / medium orchestration ended up generating a very large amount of usage.

The rollout logs show:

Type	Uncached input	Cached input	Output	Raw total
GPT-5.6 Sol	13.297M	431.745M	0.830M	445.872M
codex-auto-review	2.090M	1.397M	0.006M	3.493M
Total	15.387M	433.142M	0.836M	449.365M

The ChatGPT profile page showed roughly 440M tokens on Aug 12, so the local rollout total is in the same ballpark.

Using the published Sol rate:

• uncached input: 125 credits / 1M
• cached input: 12.5 credits / 1M
• output: 750 credits / 1M

the Sol usage comes to:

7,681.3 credits

The server-side weekly limit went from:

• 24% used / 76% remaining at Aug 12 16:57 UTC
• to 67% used / 33% remaining at Aug 13 02:25 UTC

So approximately 43% of the weekly limit was consumed.

That implies:

7,681.3 / 0.43 ≈ 17,863 credits/week

So the conservative pre-reset estimate is roughly:

~17.9k credits/week

This was still before the global reset reached my account; the server was still reporting 67% used at 02:57 UTC.

After the reset: Aug 20

After the reset, I deliberately tried to reduce usage by routing more work through cheaper models such as Terra and Luna rather than relying primarily on Sol.

For the full UTC day, my rollout logs show:

Model	Raw tokens
Sol	80.071M
Terra	217.449M
Luna	185.157M
codex-auto-review	2.802M
Total	485.478M

The profile page showed about 490M tokens, again closely matching the rollout logs.

More importantly, breaking the day into separate workloads and applying the published model-specific credit rates gives:

Workload	Raw tokens	Credits	% of a 10k quota	Actual weekly drop
Terra/Sol	15.113M	242.07	2.42%	2%
Sol / high	9.127M	218.80	2.19%	2%
Sol + Luna / xhigh	200.621M	407.05	4.07%	3%
Sol + Terra / high	59.966M	595.21	5.95%	6%
Large Terra session	197.129M	1,849.20	18.49%	20%
Total	481.957M	3,312.32	33.12%	33%

The weekly limit dropped from 100% remaining to 67% remaining.

That gives:

3,312.32 / 0.33 ≈ 10,037 credits/week

After a little more usage later that day:

• total usage reached about 3,386.63 credits
• weekly usage showed 34% used

And:

3,386.63 / 10,000 = 33.87%

which rounds almost exactly to the displayed 34%.

So the post-reset data fits a nominal 10,000-credit weekly quota extremely well.

Before vs. after

	Before Aug 13 reset	After reset
Estimated weekly quota	~17.9k credits	~10k credits
Relative capacity	100%	~56%
Change		~44% lower

What makes this interesting to me is that the post-reset result isn't based on raw token counts.

Sol, Terra and Luna have very different credit rates, but several independent workloads all converge on approximately the same 10k weekly quota when converted using the published rates.

So at least for my account, the data appears consistent with:

~18k credits/week before the Aug 13 reset → ~10k credits/week afterward.

I obviously can't tell from one account whether this means:

• Pro 5x limits were reduced globally,
• the pre-reset allowance included some temporary extra entitlement,
• accounts were migrated to a different quota,
• or something account-specific happened.

Has anyone else on Pro 5x been tracking rate_limits.primary.used_percent and rollout token usage?

I'd especially like to compare numbers from before and after the Aug 13 reset.