Structured prompts
Gemini workflows often include instructions plus JSON, tables, or copied document text. Measuring the actual prompt helps avoid surprises from punctuation, whitespace, and repeated schema text.
Google AI prompt planning
Estimate tokens and cost for Gemini prompts, documents, code snippets, JSON payloads, and chat-style messages.
A Gemini token calculator helps you estimate request size before using Google AI models. It is useful for multimodal product planning, text-heavy prompts, structured extraction, and long-context tasks where pricing and limits can change with input size. Paste the text version of the content you plan to send, then compare estimated cost across available model pricing rows.
Estimated Gemini text cost = tokens / 1,000,000 x the selected model rate. Use separate input and output rates when estimating a full request.
Gemini workflows often include instructions plus JSON, tables, or copied document text. Measuring the actual prompt helps avoid surprises from punctuation, whitespace, and repeated schema text.
When a document is too large, token counts help you split it into chunks with predictable size and cost before running a batch job.
Use the pricing table to compare Gemini estimates with OpenAI and Claude rates for the same text count.
Yes. The calculator helps estimate text token count and apply model pricing for cost planning.
This public calculator focuses on text. For multimodal requests, check the provider's official pricing rules for non-text inputs.
Yes. JSON, code, logs, and structured data can be pasted into the calculator to estimate text token usage.
The main calculator at https://token-calculator.net/ is the fastest way to measure your exact text, compare model cost, and visualize token-sized text pieces in the browser.