The Financials tab shows the real cost of running a specific mentorAI—broken down by time period, provider, model, and even user.
Use it to monitor spending, compare weeks or months, and identify savings opportunities (e.g., switching models) without guesswork.
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View Weekly Cost, Monthly Cost, and Total Cost with comparisons to the previous week or month.
A daily chart that lets you hover to view exact dates and spending amounts.
Filter by Today, 7 Days, Past Month, or a Custom Range.
Breaks out spending across LLM providers (e.g., OpenAI → Gemini), especially useful when evaluating provider switches.
Shows cost per specific model (e.g., GPT-5 Latest, GPT-4.0 Mini)—ideal for optimizing mentorAI’s LLM-agnostic configuration.
A table listing User, Total Cost, Sessions, and Last Active—revealing heavy usage patterns and cost drivers.
All charts and tables automatically respect your selected timeframe.
- In the mentor header, click Analytics, then select Financials.
- Review Weekly, Monthly, and Total Costs, and note the week-over-week or month-over-month comparisons.
- Use Today, 7 Days, Past Month, or Custom filters.
- Hover over the chart to see the exact per-day spending.
- Open Cost by Provider to see how spending shifts when you switch vendors (e.g., OpenAI → Gemini).
- Check Cost by LLM to identify high-cost models versus more economical options that still deliver quality.
- In Cost per User, sort by Total Cost or Sessions to find heavy users.
- Confirm that high usage aligns with course goals and expected outcomes.
- Adjust your mentor’s LLM/model, tools, or prompts as needed.
- Recheck Financials after several days to verify savings and efficiency improvements.
Monitor weekly and monthly spend to ensure programs stay within allocated budgets.
Use Cost by LLM to run high-stakes mentors on premium models and routine mentors on more cost-efficient ones.
Cost per User helps highlight outliers for targeted guidance—encourage efficient usage among high-spending learners.
Share clear cost trends and provider/model breakdowns with institutional stakeholders.
Compare daily costs before and after switching models or tools to validate savings while maintaining learning outcomes.
Use Financials to make data-driven decisions about providers, models, and usage—ensuring your mentors remain both effective and fiscally responsible.