$417 of inference last month. 27.5B tokens. Almost certainly the #1 DeepSeek user on @Tokscale.
Nobody above me on the board is close to this cheap per token. Most people buy the most capable model. A few quietly run the most efficient one into the ground.
@deepseek_ai
Your sessions, in detail.
Open the Sessions tab and press Enter to inspect a session's workspace, models, token breakdown, and estimated cost.
Available now in Tokscale v4.19.0.
Tokscale v4.19.0 is out.
- Local Claude Desktop usage tracking
- In-terminal session inspector
- Compressed Codex history support
- More reliable Cursor sync
- Token accounting and pricing fixes
Thanks to everyone who contributed!
Someone should fund her tokenmaxxing! Lol pump those numbers, my friend. (Yeah, being a jerk. sorry i wanted to brag a little, lol) I am freaking falling in tokscale rankings though due to OAI usage cuts.
Vincent has crossed 1 trillion tokens over the last 12 months. Officially a token trillionaire.
He also raises a fair point about the cost figure. Recorded token usage and estimated API cost are different things. The dollar estimate isn’t necessarily what someone paid, especially when they’re accessing models through subscriptions. It should be read as a reference, not an actual bill.
What I find interesting is having a full year of usage to look back on. Individual sessions add up, and the records can get scattered across different coding agents. Bringing them together makes it easier to understand how your usage has changed over time. Tokscale’s project-level breakdown adds another view: which codebases that usage went into.
Thanks for sharing the milestone, Vincent. Seeing people measure a year of their agent usage in trillions has been a pretty surreal part of building Tokscale.
I'm officially a token trillionaire. Been tracking my token burn and surpassed 1T tokens burn in the last 12 months. Sus about the cost but burn is very real!
Jeffrey has reached 3 trillion tokens tracked on Tokscale, and says the actual total is much higher.
In September alone, he recorded 842 billion tokens with an estimated API list-price cost of $409,000. He reports paying about 3.4% of that amount through subscriptions.
That distinction matters: the API cost estimate and the subscription bill describe different things. The first puts a price on the recorded usage at API rates. The second is what he says he actually paid to access those tools.
For people running multiple coding agents, keeping track of the combined usage is a problem of its own. Tokscale brings those records together so you can review the total without piecing it together from each tool separately.
Nice, I hit 3 trillion tokens (tracked on tokscale, that is; the true number is much higher). The month of September I used 842 billion tokens with a list-price API cost of $409k. Glad I can pay 3.4% of that amount and get the same thing via subscriptions. Enjoy it while you can!
.@channprj has recorded 92.1 billion tokens on Tokscale and is considering moving some workloads to local models. The concern now is the cost of buying the hardware.
Tokscale 에 기록을 시작한 이후로 총 921억 토큰을 사용했다. 일부 작업을 로컬 장비의 LLM 사용으로 돌려야 할 것 같은데 요새 하드웨어가 너무 비싸서 걱정이다. 🥲 하 진작 살껄... (...라고 또 몇달 뒤에 같은 말 반복할 사람)
tokscale.ai/u/channprj
lol, just updated my tokscale submissions across my fleet of dev machines and now it's over 2T tokens. This also doesn't include a bunch from before February of 2026. My top day was 43.8B tokens but there are a bunch of days close to that high. This is about to explode even more
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