Free Tokens Don't Cut the Bill. They Move It.
Free tokens don't cut the bill. They move it. That is the whole finding, and it is why I rebuilt my evaluation harness before I sent a single prompt through a free model endpoint. When generation costs nothing, the cost does not disappear. It relocates to the part of the pipeline that decides whether the output is any good. And that part is still paid for in seconds, CI minutes, and your own…
The key takeaway from this story is that free tokens do not reduce the overall cost of using an AI model. Instead, the cost shifts to the evaluation process, which still incurs expenses in terms of time, computing resources, and human attention. The author conducted an experiment with three arms to test different approaches to evaluation - no gate, a deterministic oracle check, and a single regeneration attempt on failure.
They ensured all other factors remained constant to isolate the cost of evaluation. The oracle, or evaluation criteria, is crucial and should be something a machine can check reliably, such as a unit test or a schema linter. The author also highlights the importance of using the same infrastructure for evaluation as will be used in production to ensure accurate cost measurements.
They advise treating the free token allotment in the provider's documentation as a claim to verify, rather than a guarantee. The author includes a code skeleton for running these experiments, showing how to handle token usage, generation, and verification times for each approach.
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