> ## Documentation Index
> Fetch the complete documentation index at: https://docs.fenra.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Cost Breakdown

> Analyze spending across any dimension

Cost Breakdown lets you slice your AI spending by any dimension: time, provider, model, feature, environment, user, or custom context.

## How to Use It

1. Go to **Cost Explorer → Breakdown**
2. Choose what to group by (provider, model, feature, etc.)
3. Apply filters to narrow the data
4. View the chart and table

## Grouping Options

Group costs by:

| Dimension       | Question It Answers                     |
| --------------- | --------------------------------------- |
| **Time**        | How is spending changing over time?     |
| **Provider**    | Which providers cost the most?          |
| **Model**       | Which models are most expensive?        |
| **Feature**     | Which product features drive costs?     |
| **Environment** | How does production compare to staging? |
| **User**        | Who are the heaviest consumers?         |

### Multi-Level Grouping

Combine dimensions for deeper analysis:

* **Time + Provider**: How does each provider's cost change over time?
* **Feature + Model**: Which models power which features?
* **Environment + Feature**: Feature costs across environments

## Filters

Narrow results with filters:

| Filter          | Options                          |
| --------------- | -------------------------------- |
| **Date Range**  | Preset (7d, 30d, 90d) or custom  |
| **Provider**    | OpenAI, Anthropic, Google, etc.  |
| **Model**       | Specific models                  |
| **Environment** | Production, staging, development |
| **Feature**     | Your custom feature names        |
| **Context**     | Any custom fields you track      |

<Tip>
  Combine filters to answer specific questions. "GPT-4 costs for the chat feature in production last month" is straightforward.
</Tip>

## Visualizations

### Charts

* **Bar Chart**: Compare costs across categories
* **Line Chart**: Show trends over time
* **Pie/Donut**: Show proportional distribution
* **Stacked**: See composition and totals

### Table View

Below the chart, a detailed table shows:

* Category name
* Total cost
* Percentage of total
* Transaction count
* Trend indicator (up/down)

Click column headers to sort. Click rows to drill down.

## Export

Download your analysis as CSV for spreadsheet analysis and further processing.

## Common Analyses

### Which feature costs the most?

1. Group by **Feature**
2. Set date range to last 30 days
3. View the breakdown chart

### Is GPT-4 worth the cost vs. GPT-3.5?

1. Filter to the models you want to compare
2. Group by **Model**
3. Compare costs alongside quality (you'll need to assess quality separately)

### How is production spending trending?

1. Filter to **Environment = production**
2. Group by **Time** (daily or weekly)
3. Look for upward or downward trends

### What's driving a cost spike?

1. Set date range around the spike
2. Group by **Feature** first to see which feature spiked
3. Then group by **Model** to see if it's a model change
4. Drill into [Activity](/product-overview/cost-explorer/activity) for transaction-level detail

## Related

* [Activity](/product-overview/cost-explorer/activity): Transaction-level view
* [Dashboard](/product-overview/dashboard): High-level overview
* [Reports](/product-overview/reports): Export detailed analysis