Model consumption analysis
The Model consumption analysis report breaks down how different AI models are used across the organization. It shows each user's model preferences — for example Opus, Sonnet, and Haiku — alongside a detailed ledger of token volumes and costs. Use it to understand model adoption and to audit spend for FinOps.
Visualizations
- Token-based model mix by user bar chart: A horizontal stacked bar chart of the tokens each user consumed, segmented by the models they used. It helps identify power users, their model-tier preferences, and adoption trends.
Values displayed:
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Y-axis: user name
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X-axis: tokens consumed (total tokens)
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Color: model name
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Model consumption details table: A granular table of user-and-model consumption records, with licensing context, recent activity, the input and output token split, and the resulting cost. Suited to FinOps auditing and data exports.
Values displayed:
- Model name
- User
- Type of license allocated (derived from feature name)
- Last active date
- Has usage (Yes or No, indicating whether compute was consumed)
- Total input tokens
- Total output tokens
- Total token consumption
- Total cost consumption