MONTHLY BUDGET
What will this workflow cost?
Move the sliders to estimate a month of real usage on Claude Sonnet 5.
Count tokens, check context fit, compare 19 major models, and plan API spend before you ship.
19 models.
11 providers.
THE CALCULATOR
COMPARE MODELS
Switch models above or click a card to make it your active calculator.
THE LIVING REGISTRY
Reference pricing snapshot · verify provider billing before production use.
MORE THAN A COUNTER
Small tools that turn a one-off count into a repeat workflow.
MONTHLY BUDGET
Move the sliders to estimate a month of real usage on Claude Sonnet 5.
PROMPT HEALTH
A quick local check for repetition, context weight, and likely cleanup opportunities.
FILE COUNTER
Drop a .txt, .md, .json, .csv, .py, .js, or .ts file. It stays in your browser.
FROM THE PROMPTCOSTLAB BLOG
The calculator stays focused. Tutorials, comparisons, and model updates live in their own searchable publication.
Model guidesA plain-English guide to planning prompts for Anthropic's newest flagship family.
Read article →
ComparisonsA practical comparison for long-context chat, RAG, and production assistants.
Read article →
Token basicsTokenizers explained without the textbook: vocabulary, chunks, and hidden request overhead.
Read article →LEARN THE BASICS
PromptCostLab is designed for someone who wants a trustworthy answer before they need a full course on tokenization.
Every provider uses its own tokenizer and request formatting. The same sentence can be a different number of tokens on Claude, GPT, Gemini, or Kimi. That is why PromptCostLab labels local counts as estimates.
Not in Private local mode. Text is counted on your device. Connected exact counting can be added later for structured messages, tools, files, and images when you choose to send data to a provider.
Yes. The registry and journal are intentionally data-driven: add a model record or article record, and the filters, cards, and comparison surfaces update with it.