Claude Code:

  Input tokens:        52,545,485
  Output tokens:        5,767,253
  Cache create tokens:  5,112,029
  Cache read tokens: 1,475,069,465
  Total tokens:      1,538,494,232
  Total cost:        $1,199.79

OpenAI Codex:

  Input tokens:          52,598,013
  Output tokens:          4,681,867
  Reasoning output:       2,091,063
  Cached input tokens: 1,153,844,864
  Total tokens:        1,211,124,744
  Total cost:          $980.37

I'm confident I got value out of OpenAI - I've been mainly on Codex for the last few weeks.

Not so sure I got that value from Claude, just because I've been using it a lot less and somehow the price came to about the same as OpenAI.

Given the code I've been able to build in the past month I genuinely do think I got value for the API price version, and (don't tell OpenAI or Anthropic) I think I'd have paid full price.

I've not spent nearly enough time with GLM-5.1 and co to compare, but I do know that the prompts I'm using with the agents are not prompts I would have expected to work just three months ago.

▲ krupan 2 hours ago | parent | next [-]

Are you saying that the software you wrote using those tools generated enough revenue to cover the $2000?

	▲	simonw 2 hours ago \| parent [-]
		Not yet, but that's because it was almost all open source and I'm really bad at generating revenue from that. When I account for the amount of time it saved me there's no question $2,000 was worth it.

▲ NortySpock 3 hours ago | parent | prev [-]

Cool! Thanks for the details, and your blog posts are usually interesting food for thought, so thank you for them too!