How it works
Cost per request = (uncached input tokens × input price + cached input tokens × cached-input price + output tokens × output price) ÷ 1,000,000, with prices in US$ per 1 million tokens. No batch discount could be confirmed on the official page, so none is applied. Day = request cost × requests per day; month = day × days per month; year = month × 12. “Saved” compares with the same traffic at the plain input and output price. Mistral-made models only (third-party models hosted by Mistral are left out). Taxes, tools (web search, code execution), image or audio tokens, long-context surcharges and cache-write fees are not included.
Mistral AI API prices (US$ per 1M tokens, checked 10 Nov 2026)
| AI model | Input price | Cached-input price | Output price |
|---|---|---|---|
| Mistral Large 4 | 0.7 | 0.07 | 2.1 |
| Mistral Small 4 | 0.15 | 0.015 | 0.6 |
| Ministral 3 14B | 0.2 | 0.02 | 0.2 |
| Ministral 3 8B | 0.15 | 0.015 | 0.15 |
| Ministral 3 3B | 0.1 | 0.01 | 0.1 |
⚠ Estimates for information only — not financial advice.
FAQ
Why is there no batch discount here?
Mistral’s pricing page has a batch tab, but we could not confirm the batch rates on the official page on the check date, so the calculator applies none. If you have a batch quote, choose “My own prices”.
Which Mistral model is cheapest for simple tasks?
On the list prices Ministral 3 3B costs the least per token. Whether it is good enough depends on your task — test a sample of real requests before switching.
Checked 10 Nov 2026. Mistral AI official API pricing page (https://docs.mistral.ai/inference/pricing), read on 10 Nov 2026. A batch tab exists but no batch rate could be confirmed, so no discount is applied.