GPT prompt planning
Estimate token usage before sending prompts, documents, code, or chat messages to OpenAI GPT models.
An OpenAI token calculator helps you measure request size before an API call. Paste the exact text you plan to send, review token, word, and character counts, then use the pricing comparison to estimate input, cached-input, and output cost. This is useful when a prompt may be too long, when a product needs to predict user cost, or when a team wants to choose between smaller and larger GPT models.
Estimated input cost = input tokens / 1,000,000 x model input price. Estimated output cost uses the same token count formula with the model output price.
Use the calculator before sending long instructions, retrieved documents, code snippets, or chat history to a GPT model. Token count can affect context limits, latency, and cost, so measuring exact text is better than guessing from word count.
The browser tool reports tokens, words, characters, and characters without spaces. The pricing table then applies provider rates to the count so you can compare model choices before production usage.
The public calculator runs locally in your browser. Pasted text is used for the on-page count and visualization, not stored by Token-Calculator.net.
Yes. The page is designed for OpenAI GPT prompt planning and cost estimation before an API request.
Tokenization can vary by model family and provider implementation. Use the count as a practical planning estimate and check production behavior for strict limits.
Yes. Paste code, JSON, logs, or structured payloads into the calculator to measure the actual text you plan to send.
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.