How much can prompt compression save?
Need to estimate savings from compressing prompts? Tokens are the unit AI providers bill in, and getting the count wrong throws off every cost estimate. This page helps teams with large prompts get an accurate count and the cost that follows from it.
Results update automatically as you type.
- Before
- 4,000 tokens
- After
- 2,400 tokens
- Saved / request
- $0.00200
- Saved / month
- $300.00
Why this isn't trivial
The part people underestimate: compression cuts input tokens on every request, so the saving scales with both compression ratio and volume. In practice the biggest savings come from compressing the largest, most repetitive prompt sections, so it is worth modelling before you commit.
How it's calculated
We estimate this by comparing pre- and post-compression token cost across your volume. Every figure uses the current provider prices baked into the site (reviewed daily), and you can override any input to match your own assumptions.
Frequently asked questions
Does compression hurt quality?+
Aggressive compression can; test that the model still performs after trimming.
Where do I compress?+
Long context and repeated boilerplate give the biggest safe savings.
Are these prices up to date?+
Yes. The model prices behind this calculator are refreshed and reviewed daily, so your estimate reflects current provider rates rather than a stale snapshot.
Related
Estimates for planning. Pricing data last reviewed 28 July 2026.