Why marked-up AI credits quietly cost you more

A credit is not a token

When a tool sells you AI as credits, it has bought tokens from a model provider at a published rate and repackaged them. The repackaging is where the cost quietly grows. You see credits, generations, or points — never the underlying tokens — so you cannot check what you are paying per unit of real work. That gap between what you see and what was actually bought is the whole game.

Opaque credit-to-token conversion

The first way markups inflate cost is the conversion itself. A credit might map to a fixed number of tokens, or to a generation regardless of length, or to a points value that shifts by feature. Vendors rarely publish the exact ratio, and even when they do, it can change. Without a clear conversion you cannot compare one tool's credits to another's, or to the provider's own at-cost rate. Confusion is not a side effect here; it is what lets a margin sit undisturbed.

Paying for credits you never use

Credit plans come in tiers, and tiers rarely match real usage. A quiet month leaves credits on the table that you have already paid for. A busy month runs the allowance dry, forcing an upgrade or a hard stop in the middle of a campaign. Either way you are paying for an allowance rather than for consumption, and the rounding always favours the seller.

• Underuse: you pre-paid for credits that expire unused.
• Overuse: you hit a wall mid-month and upgrade to the next tier for a few extra generations.
• No middle: usage almost never lands exactly on a tier boundary, so one of the two happens most months.

The markup compounds as volume grows

This is the part that matters most. A markup is a percentage riding on every generation, so the more you create, the more total margin you pay. At a handful of posts a week the absolute amount is small and easy to ignore. At the volume of a real content program — many platforms, threads, a research and review pass per idea — that same percentage is multiplied across far more tokens, and the gap against at-cost billing widens steadily.

The illustrative table below shows the shape of the problem. The figures are illustrative only — they are not claimed real prices for any tool or provider. They simply show how a fixed percentage markup turns into a larger and larger absolute gap as monthly volume rises.

The percentage is the same in every row; the dollar gap is not. That is the quiet cost of a markup — it scales with your success, exactly when you least want a tax on volume.

Losing model choice

There is a non-price cost too. When credits are bundled, the model is chosen for you. You cannot drop to a cheaper, faster model for routine drafts, or step up to a stronger one for a high-stakes campaign. You are locked to whatever the vendor priced their credits around — which means you cannot optimise your own cost-to-quality trade-off even if you understand it better than they do.

At-cost BYOK billing, by contrast

Bring your own key inverts all of this. You connect your own Google Gemini or Anthropic key, the provider bills your tokens directly at its published rate, and there is no markup added on top. Your cost grows linearly with real usage instead of climbing a tier ladder with a margin baked into each step. And because the key is yours, so is the model choice — cheaper for routine work, stronger when it counts.

SchedulePost charges only for the workflow — the AI Orchestra, the source-aware research, the review pass, and reliable background publishing — and stays out of the token relationship entirely. For the full comparison of the two billing models, see BYOK AI vs bundled credits.

Check it against your own volume

Do not trust an illustration, including this one. Put your actual monthly posting volume into the AI cost calculator and see the at-cost token figure for yourself, then compare it to whatever a credit plan would charge. The point of BYOK is that you can do this math at all — the numbers are visible, published, and yours to verify.

When a markup is tolerable

To be fair: if your usage is genuinely light, the absolute markup is small and the convenience of one bill can be worth it. The argument here is not that every credit plan is a rip-off — it is that the cost is hidden and grows with volume, so the more seriously you take content, the more a markup works against you.

The takeaway

Marked-up credits cost more in three compounding ways: an opaque conversion you cannot audit, allowances you over- or under-buy every month, and a percentage margin that grows with your volume — plus the hidden cost of losing model choice. At-cost BYOK billing removes all of them. If you want to understand why a multi-agent system specifically benefits from at-cost tokens, read the AI Orchestra explained, or see the contrast in a head-to-head with SchedulePost vs Buffer.