The Cheapest Way to Run AI Editing (BYOK Math)

“BYOK is cheaper” gets repeated everywhere, but rarely with numbers. So let’s do the math. How much does it actually cost to fix grammar, rewrite a paragraph, or translate a message when you pay the AI provider directly instead of a subscription? Once you see the per-edit cost, the choice between BYOK and a managed subscription becomes a simple calculation instead of a slogan.

How AI pricing actually works: tokens

AI providers bill by tokens, not by edit. A token is roughly ¾ of a word (so ~1.3 tokens per word). You pay for input tokens (the text you send) and output tokens (the text the model returns), usually at different rates, quoted per million tokens.

A typical inline edit is small. Say you select a 50-word paragraph and ask for a rewrite:

That’s the unit. Now multiply by real prices.

The per-edit cost (order of magnitude)

Token prices vary by model and change over time, so treat these as illustrative tiers, not quotes — always check the provider’s current pricing:

The takeaway holds across the board: individual inline edits are cheap because the text is short. The cost only adds up at very high volume — or when you routinely send long passages to a premium model.

[[MISSING: insert current per-million-token prices for the specific provider/model EditSnappy uses (or recommends for BYOK) at publish time — prices change frequently; verify before quoting exact figures.]]

BYOK vs subscription: the break-even

Here’s the decision in one frame. Suppose a managed subscription is, say, a low monthly fee. With BYOK you pay only tokens. The question is: how many edits a month before BYOK’s token cost equals the subscription?

Because edits cost fractions of a cent, that break-even is usually high — often hundreds or thousands of edits a month, depending on the model and the sub price. Which tells you:

[[MISSING: pricing model — the actual break-even depends on EditSnappy’s managed subscription price (unset) and whether a BYOK tier exists at all (master-sales-copy §8, option A vs B). Fill the concrete comparison once Ken sets the price.]]

The cheapest setup of all: local

There’s a tier below even BYOK token cost — a local model. After the hardware you already own, local edits cost nothing per edit (just electricity). For high-volume quick fixes — grammar, tone, short rewrites — running a small model locally is the cheapest path that exists, and the most private. The trade-off is quality on hard tasks and the need for a capable machine. The smart blend — local for routine, cloud for hard — minimizes both cost and exposure.

Don’t forget the other costs

Pure token math misses real value on both sides:

The bottom line for EditSnappy users

If raw cost-per-edit is your priority and you’re technical, BYOK on a cheap-to-mid model is hard to beat — pennies for normal use, with the privacy bonus of the vendor being out of your data path. If you’d rather never think about it, managed trades a small premium for zero setup and predictable billing.

Which of these EditSnappy offers depends on the pricing model still being finalized:

[[MISSING: pricing model — master-sales-copy §8 weighs managed-only (A) vs managed + BYOK (B). The BYOK cost path above is only available if a BYOK tier ships; do not state it does until Ken confirms.]]

EditSnappy’s guardrails apply either way: a cardless free trial (try before you pay), no expiring credits, and custom-prompt hotkeys never paywalled — so the cost you see is the cost you get.


Compare the options on BYOK vs managed, see the full trust stack on the Privacy, Security & BYOK hub, or try EditSnappy free — no credit card.