Token counting and pricing

LLM Token Calculator

Use this LLM token calculator to estimate how prompt size affects model cost across OpenAI, Claude, Gemini and DeepSeek.

Calculate LLM Token Cost

Estimate LLM token counts, input tokens, output tokens, cost per request and monthly API spend from pasted text.

No API key required. Your transcript stays in your browser.

Workload type

Provider

Model

Paste your prompt, transcript or content

Characters: 0Words: 0Estimated input tokens: 0Estimated token count

Output type

Output tokens are estimated based on the selected summary type and input length.

Monthly Interactions

Number of AI summarization requests expected each month.

Advanced Settings

System Instruction Tokens

Tokens used by the system prompt or recurring instructions in every interaction.

Cached Input Percentage

Percentage of input tokens expected to use provider prompt caching.

Paste sample content above to compare model costs.

Tokens connect prompt size to API cost

LLM providers price usage by tokens, not by words or pages. Input tokens are what you send to the model. Output tokens are what the model generates.

This calculator labels token counts as estimates where provider-specific tokenization may vary, then applies model pricing to show practical cost impact.

Metric	Meaning	Why it matters
Input tokens	Prompt, context and instructions	Usually controls context cost
Output tokens	Generated response	Often priced higher than input
Monthly tokens	Tokens per request times volume	Useful for budget planning