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 instead of relying primarily on Sol.

The ChatGPT profile page showed about 490M tokens for Aug 20. My rollout logs account for 485.5M tokens for the full UTC day, so the two are very close.

The main workloads during the period where I tracked the weekly meter were:

Workload	Uncached input	Cached input	Output	Raw total	Credits	% of 10k quota	Actual weekly drop
Sol + Terra / high	1.397M	13.611M	0.105M	15.113M	242.07	2.42%	2%
Sol / high only	0.421M	8.629M	0.078M	9.127M	218.80	2.19%	2%
Sol + Luna / xhigh	6.921M	193.183M	0.517M	200.621M	407.05	4.07%	3%
Sol + Terra / high	2.821M	56.915M	0.230M	59.966M	595.21	5.95%	6%
Sol + Terra / high	8.035M	188.380M	0.714M	197.129M	1,849.20	18.49%	20%
Total	19.595M	460.719M	1.643M	481.957M	3,312.32	33.12%	33%

Across all five workloads, the calculated usage was 3,312.32 credits, while the server-side weekly meter dropped by 33 percentage points.

That implies:

3,312.32 / 0.33 ≈ 10,037 credits/week

After a little more usage later that day, the full-day total reached approximately 3,386.63 credits, while the server reported 34% weekly used:

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.