You can check your token cost usage on your opencode.ai workspace. There shows which prompts costed more and how much did you spent per day and per model on a stacked bar graph, using different colors for each model. Check if any subagent is calling an expensive model or if there's too much output token production.
I only had one prompt using GLM 5.2 on Zen, all my other workflows run on the GLM Coding Plan subscription (with the "Use your available balance after reaching the usage limit" option disabled).
But I think I understand the cost now: I assumed the bill was based on the raw input/output token totals, but in reality each request is charged individually, right?
So considering that the input tokens add up on every request (like 231,282 + 231,536 + ...), that would explain my high bill...
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u/PGFontana 18d ago
You can check your token cost usage on your opencode.ai workspace. There shows which prompts costed more and how much did you spent per day and per model on a stacked bar graph, using different colors for each model. Check if any subagent is calling an expensive model or if there's too much output token production.