TokenAtlas
Model AI workload costs and compare model swaps before you ship them
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tokenatlas.coAbout TokenAtlas
TokenAtlas is an AI FinOps tool aimed at the question that comes before a bill exists: what will this prompt, agent or model swap cost per month once it ships. You describe a workload — input tokens per request, output tokens per request, requests per day — and it returns per-request, daily, monthly and yearly cost plus a twelve-month projection under an assumed growth rate, then recommends a cheaper model for the workload type (coding, writing, reasoning, summarisation or general) and quantifies the saving. It maintains a pricing catalog across OpenAI, Anthropic, Google, Mistral, Groq and DeepSeek and is careful in its own copy to note that provider logos represent tracked pricing rather than customers, and that sample findings are modelled rather than live account data — an unusually honest touch for the category. Paid tiers add an optimisation score with full model ranking, per-workload savings breakdowns, what-if scenario simulation, historical cost tracking, cost alerts and budget guards; the Team tier layers on shared workspaces and roles, team budgets with approval flows, exportable executive reports and a weekly spend digest. Billing runs through Paddle and is priced annually.
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Key Features
TokenAtlas Pros & Cons
✅ Pros
- +Forecasts before deployment rather than reporting after
- +Unusually honest labelling of modelled versus live data
- +Free tier is genuinely usable for one-off estimates
⚠️ Cons
- −Annual-only billing on paid tiers
- −Estimates only — it does not meter live traffic like a proxy
- −Accuracy depends entirely on your token assumptions
Who Is TokenAtlas Best For?
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