AI Calculator Pro

Which model gives the most tokens per dollar?

The fastest way to find which model gives the most tokens per dollar is to compare the actual per-request and monthly cost of each candidate. Aimed at teams optimizing raw throughput value, this page lays the models out together so you are choosing on price for your real token mix, not marketing claims.

Results update automatically as you type.

Result
800,000 input tokens per $1
100,000 output tokens per $1 with GPT-5
Input tokens / $1
800,000
Output tokens / $1
100,000
Input tokens for $10
8,000,000
Output tokens for $10
1,000,000

Why this isn't trivial

The part people underestimate: tokens-per-dollar flips input and output pricing into a single value metric, but the right blend depends on your usage. In practice the biggest savings come from choosing by tokens-per-dollar at your actual input:output split, so it is worth modelling before you commit.

How it's calculated

We estimate this by inverting each model's blended token price into tokens purchased per dollar and ranking them. 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

Is tokens-per-dollar the whole story?+

No — quality and latency matter too, but it is a fast value screen.

Which blend should I use?+

Set the input:output ratio to match your workload for a fair comparison.

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.