Published 2026-05-21 · NextModel Research
Direct answer
A practical formula for Canadian product and engineering teams estimating model spend from tokens, request volume, and price. This guide is written for Canada-based 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}'