Published 2026-05-21 · NextModel Research
Direct answer
A practical formula for estimating model spend from input tokens, output tokens, request volume, and model price. This guide is written for UK product and platform teams comparing model quality, spend, routing policy, and production rollout risk.
The four variables that drive AI API cost
AI API cost is usually a simple multiplication problem before it becomes an operations problem. Estimate average input tokens, average output tokens, request count, and the model's input/output price per 1M tokens. Then repeat the calculation for a low-cost model and a high-quality model so product owners can see the tradeoff.
| Variable | Example |
|---|---|
| Input tokens | 1,000,000 |
| Output tokens | 1,000,000 |
| Requests | 1 |
| Doubao estimate | ¥2.20 |
Use the same formula in code
The pricing API returns the same estimate used by the calculator, so teams can build internal planning tools without duplicating price tables.
curl https://nextmodel.app/api/pricing/estimate \
-H "Content-Type: application/json" \
-d '{"model":"doubao-seed-2-0-mini","input_tokens":1000000,"output_tokens":1000000,"requests":1}'