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Remember that the agent reads about four times as much as it writes. Here is the surprising part. Even though writing is only about a fifth of the work (around 9,500 of those 44,500 tokens) it drives most of the cost. On Opus, writing alone makes up about 58 percent of the cost per review. On GPT-5.2, it is closer to 68 percent.
The reason is technical, but simple. A model can read a long document more or less all at once. But it has to write its answer one word at a time, with each word building on the last. That slower, step-by-step writing costs more to produce. So providers charge three to six times more for writing than for reading.
This points to a useful tip. If you want to lower costs, look first at how much the agent writes, not how much it reads. You can ask it to be more concise, use clean structured formats, or write a short draft first and expand only the parts that need it. Each of these trims the most expensive part of the job.
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