Monthly chat users
1,000
Active users expected to send at least one chatbot message.
Chatbot cost planning
AI Chatbot Cost Calculator
Estimate monthly API spend for product chat, website assistants, onboarding bots, and support-style conversations without storing message text.
Scenario assumptions
Start with these editable numeric assumptions, then adjust the calculator fields to match your own traffic and token usage.
Messages per user per day
3
Average model calls triggered by each active chat user.
Input tokens per message
900
System instructions, short history, user message, and context.
Output tokens per message
450
Average generated answer length for the chatbot.
AI chatbot model and usage
Choose a model and edit the numeric assumptions for this AI chatbot scenario.
OpenAIexample-openai-premiumExample price
Input price
$3.00 / 1M tokens
Output price
$12.00 / 1M tokens
Last updated: 2026-06-27View pricing source
This model uses placeholder example pricing. Verify the official source before using it for planning.
Usage assumptions
Estimate traffic and token usage for an average request.
Estimated results
Run the calculator to see usage volume and projected cost.
Add your usage assumptions, then calculate to preview estimated AI API spend.
How to read the output
Use the result as a planning estimate, then validate against provider pricing and real usage once the workflow is live.
Monthly chatbot spend
The calculator converts users, messages, token counts, and selected model pricing into daily, monthly, and yearly estimates.
Cost per chat user
Use the cost-per-user result to compare chatbot usage against plan price, support savings, or product value.
Input and output split
Separating input and output tokens helps identify whether context size or answer length is driving the bill.
Models to consider
These options come from the central model data and are suggestions to evaluate, not claims that one model is best for every workload.
OpenAI
example-openai-premium
Tool-calling capable option to evaluate for structured workflows.
Input $3.00 / 1M, output $12.00 / 1M.
Open modelGemini
example-gemini-pro
Tool-calling capable option to evaluate for structured workflows.
Input $2.00 / 1M, output $8.00 / 1M.
Open modelMistral
example-mistral-large
Tool-calling capable option to evaluate for structured workflows.
Input $2.50 / 1M, output $7.50 / 1M.
Open modelOpenAI
example-openai-fast
Tool-calling capable option to evaluate for structured workflows.
Input $1.00 / 1M, output $4.00 / 1M.
Open modelRelated planning pages
Move between use-case calculators, provider pages, and pricing comparisons without entering private content.
AI chatbot FAQ
Short answers for estimating this scenario without sharing private prompts, documents, or customer data.
How is chatbot API cost calculated?
Estimate the number of model calls, average input tokens, average output tokens, and selected model price, then scale that by daily and monthly usage.
What makes chatbot costs rise?
Longer conversation history, retrieved context, longer answers, retries, and high message frequency can all increase monthly spend.
Should I estimate per user or per message?
Use both. Per-message cost explains unit economics, while per-user cost is easier for pricing and usage-limit decisions.