Global volume
3.33Btokens
$1.78K est. spend · all-time
28.3%372M this week
Global usage
Across the network
Measured from every account listed on the TokenMaxxer leaderboard that runs Codex Auto Review.
Live dataLive data. These global numbers are measured, not estimated — every one is summed from the synced devices of the accounts listed on the leaderboard. Your own usage, shown in its own section, is computed only from your synced devices.
This week
372M
+28.3% vs last week
Developers
17
of 28 on the network
Est. spend
$1.78K
all-time, list rates
Blended rate
$0.536
per Mtok, effective
Tokens per dev
196M
average, all-time
Weekly volume
Tokens per week across the network, last 12 weeks
820M
12 wks agothis week
Token composition
How its network volume splits
- Input400M12%
- Output2.29M0%
- Cache read2.93B88%
- Cache write00%
- Reasoning1.14M0%
List pricing
USD per million tokens · base tier
Input
$2.50
Output
$15.00
Cache read
$0.250
Cache write
—
The network actually pays about $0.536/Mtok blended — cache reads are 88% of its volume, billed at a fraction of list.
Top developers on Codex Auto Review
Top 15 of 17 developers running it
#DeveloperViaShare of their stackTokens
1
2
3
4
5
6
78
910
11
1213
14
15
S Alam@s-alam
1%
1.26B
$659
Tawab Safi@safiware
1%
747M
$445
Deepanshu Chaudhary@deepanshu
3%
498M
$234
Alex C@alexdotcss
7%
284M
$146
Gustavo Aispuro@gucci
1%
120M
$71.42
David Esquer@david-esquer
1%
83.7M
$44.79
dalex@alex
0%
76.07M
$41.65
José Marcial@josemasa13
1%
72.19M
$40.13
Pablo Erhard@pablo-erhard
3%
65.81M
$40.21
SantiaDawg@santiadawg
0%
31.23M
$20.18
Jonathan Chavez@jonathan-chavez
0%
29.71M
$10.13
Alejandro Perdomo@alejandro-perdomo
4%
29.42M
$12.16
Saurav@dinosaur
1%
17.21M
$9.35
田承文@chengwen0926
2%
11.72M
$6.89
Sebastian Crossa@seb
0%
1.86M
$0.759
Where Codex Auto Review runs
Tools carrying its network volume
- CodexView100%
More from OpenAI
The rest of their catalog the network runs
Your usage
Your Codex Auto Review usage
Pulled only from your own synced devices — no estimates, and visible only to you.
See your own Codex Auto Review usage
Sign in and sync your local AI usage — your tokens, spend and share of stack show up here, next to the network's.