BI Book AI Pricing
Last updated 2 days ago
ℹ️ BI Book AI uses a base fee + usage-based pricing model.
The small base fee covers the cost of keeping your reports indexed and available in BI Book AI. This base fee also includes 50 € of AI credits as a minimum monthly charge,
regardless of whether the credits are used or not.
Base fee: 100€ (includes 50 euros of AI credits)
Usage based pricing: Credits
Usage-based pricing
ℹ️1 credit = 1€
Costs occurred from BI Book AI will mostly be tokens used from LLM service providers.
Credit calculation
LLM providers, such as Anthropic and Azure Open AI price input tokens and output tokens differently.
Input tokens: Input prompt(s) provided to the LLM
Output tokens: Output generated by the LLM
Real world example:
The formula we use for calculating the total monthly fee for you is derived from the costs of the token and a BI Book AI premium at 20 % to support future development of the product and other costs occured for running the application and the team behind it.
The formula for calculating the monthly price goes like this:
agent_run_costs_usd = (input_tokens * input_token_cost_usd) + (output_tokens * output_tokens_cost_usd)
total_eur_month_x = sum(agent_run_costs_usd for month x) * exchange_rate_usd_eur * (1+bibook_ai_premium)
total_fee_month_x = base_fee_for_indexing + max(minimum_credits_fee , total_eur_month_x)
EXAMPLE RUN:
Input prompt: XX
Agent runs tools and produces an output
Model used: Claude Sonnet 4.6
Input tokens used: 5000
Output tokens used: 1000
Parameters:
Exchange Rate USD - EUR: 0.85 (we will update the exchange rate we use in the beginning of every month at the current rate)
BI Book AI Premium: 20 %
Base Fee for indexing: 50€
Minimum fee billed for credits = 50€
agent_run_costs = (50000.000003) + (10000.000015) = 0.03
total_credits_month_x = 0.03 * 0.85 * 1.2 = 0.0306
total_fee_month_x = 50 + max(50, 0.0306) = 100 €
Credit-spend management
In BI Book AI Admins can manage max monthly credits that your company can spend under “Settings”. Additionally, Admins can manage which AI models are available for the users in the company. Finally, we have tools available to understand credit consumption by model. The credit consumption for one prompt depends on the complexity of the prompt.