> For the complete documentation index, see [llms.txt](https://ai-docs.fptcloud.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ai-docs.fptcloud.com/account/billing/tutorials/billing-policy/model-finetuning-billing.md).

# Model Finetuning Billing

| **Billing Logic**                                                                                                             | **Minimum billable usage** | **Time to charge**   |
| ----------------------------------------------------------------------------------------------------------------------------- | -------------------------- | -------------------- |
| <p>- Based on the usage duration of a pipeline<br>- Remaining unbilled usage will be rounded up to the nearest 15 minutes</p> | 15 minutes                 | Usage ≥ 1/4 GPU-hour |

**Billing Equation:**

* **Usage duration**: Calculated in GPU-hours (rounded up to the nearest 15-minute increment)
* **GPU**: Number of GPUs used
* **Cost**: `Usage time (hours) × GPU count × item price from pricing table`

**Example:**

> You use **1 GPU NVIDIA H100 SXM5** priced at **$5.5/GPU-hour** to train model Qwen/Qwen3-32B for **8 minutes**

* Usage duration: 8 mins → rounded up to 15 mins (0.25 GPU-hour)
* GPU: 1
* Cost: `$5.5 × 1 GPU × 0.25 GPU-hour = $1.375`


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