This little blue dinosaur used 1.59 billion tokens in a single day 🦕

ChatGPT Use cases and examples
1

Apparently, this little blue dinosaur had a very productive July 13.

According to my usage dashboard, it processed 1.59 billion tokens in one day—roughly 1.6 billion tokens.

Most of the usage came from large-scale coding, quantitative research, backtesting, document generation, and repeated agent workflows. I honestly did not expect a single-day workload to reach this level.

A few questions for the community:

  • Has anyone seen a higher single-day token count?
  • Is there a practical way to break usage down by project, task, or model?
  • At this scale, what are your preferred methods for reducing unnecessary context and repeated token consumption?

Either way, the blue dinosaur survived. My context windows may not have.

1 day. 1.59 billion tokens. One very busy dinosaur. :sauropod:

2

Answers for you

  1. Higher? OpenAI when they run benchmark suites that cost ten thousand dollars in usage, thus the answer is yes without further research or anecdote,
  2. Break down? On the usage you can choose to have usage reported by line item or project, and also filter by model in the token-based endpoint screens.
    2a. on the usage admin endpoint you can sort by buckets
  3. Reduce cost? Repeated tokens can be aligned with explicit context cache write on latest models for a 90% discount
  4. not taking the bait about your product