Gemini vs GPT: what's the annual cost difference?
Teams budgeting a year ahead often need to quantify the annual cost difference between Gemini and GPT. Because providers price input and output tokens very differently, the "obvious" model is rarely the cheapest. This tool compares them on your own workload so the decision is data-driven.
Results update automatically as you type.
| Gemini 2.5 Pro | $0.00625 | $625.00 | 1,048,576 | |
| GPT-5 | OpenAI | $0.00625 | $625.00 | 128,000 |
Why this isn't trivial
The part people underestimate: a few cents of per-request difference becomes thousands of dollars a year once multiplied by annual volume. In practice the biggest savings come from locking in the cheaper model for high-volume paths, so it is worth modelling before you commit.
How it's calculated
We estimate this by computing per-request cost for each model and projecting it across a full year of your request 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
Why look at annual, not per-request?+
Small per-request gaps are invisible until annualized, where they become budget-relevant.
Do context-window differences matter?+
Yes if you use long context; the calculator lets you set realistic token sizes.
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.