Estimate your FINOPS token costs. Get margin calculation per user and per plan. No signup, no data stored.
Key metric due to its direct LLM cost : below a certain threshold, user costs more than he generates. .
e.g. 99€/month per seat, or 500€/month flat.
Simple chatbot: 1 call(s)/task, ~450 input tokens + 300 output tokens.
Profitable as long as a user stays under 7097 prompts/day.
Profitable with 100% margin on your prompts/day volume
Per active user, based on your current model and subscription price
With 5x more customers (5,000 total), monthly contribution reaches +€41,180
These estimates are indicative and based on public LLM provider pricing. They do not constitute financial advice.
Simple chatbot: 1 call(s)/task, ~450 input tokens + 300 output tokens.
Pricing: OpenAI 2026-07-23 · Anthropic 2026-07-23. Excludes infrastructure / GPU / storage / reranking.
Between exploding API bills and flat-rate plans, your power users likely cost more than they earn. We're building the tool to measure it, account by account.
Cost depends on the model, input and output token volume, and monthly active users. An LLM cost calculator gives you the order of magnitude in seconds: at identical volume, the gap between GPT, Claude and Gemini often exceeds a factor of 10. The calculator above estimates this from published per-million-token pricing.
Your AI cost per user is total token spend divided by active users over the period. It is the decisive metric when you bill a flat subscription: revenue is fixed, cost is variable. A handful of power users is enough to push an entire plan below break-even.
A 70% gross margin after token costs is the commonly accepted SaaS benchmark. An LLM margin calculator does more than display cost: it pinpoints the lever to move — switch model, adjust price, or cap usage — to get back above the threshold. Cost alone does not tell you what to do; margin does.