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

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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

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Grouping Options

Group costs by:

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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

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Filters

Narrow results with filters:
Combine filters to answer specific questions. “GPT-4 costs for the chat feature in production last month” is straightforward.

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Visualizations

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Charts

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

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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.

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Export

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

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Common Analyses

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Which feature costs the most?

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

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

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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 for transaction-level detail