<!-- AI cost model · from Chapter 31 of The Product 360 Handbook -->

# AI cost model · [Feature] · [Date]

**Owner:** [PM]   **Finance partner:** [Name]   **Prices as of:** [Date]

## Per-task cost
| Step | Model | Calls per task | Input tokens | Output tokens | Cached share | Cost per call | Cost per task |
|---|---|---|---|---|---|---|---|
| | | | | | | | |
| **Total** | | | | | | | **$** |

Include retrieval, tool and infrastructure costs per task.

## Volume and margin
| Scenario | Tasks per month | Inference cost | Other COGS | Revenue | Gross margin |
|---|---|---|---|---|---|
| Low | | | | | |
| Expected | | | | | |
| High | | | | | |

- Gross-margin floor: [%]
- Cost per task at which the floor is breached: [$]

## Levers
| Lever | Expected saving | Quality risk | Status |
|---|---|---|---|
| Route [step] to a smaller model | | | |
| Cache [stable context] | | | |
| Convert [recurring path] to deterministic code | | | |
| Lower step or token budget | | | |

## Sensitivities
- If tokens per task rise 50%:
- If the provider raises prices 20%:
- If usage doubles in a quarter: