What We Build
Free Token Counter is an online token counter for AI prompts, GPT and ChatGPT workflows, OpenAI models, Claude, Gemini, DeepSeek, Mistral, Grok, Qwen, and open-weight Llama planning. The tool turns raw prompt text into useful metrics: token count, character count, word count, reading time, estimated cost, context usage, provider comparison, and optimization signals.
The goal is practical: help builders decide whether a prompt is too large, too expensive, too repetitive, or too close to a model context limit before it reaches production. That makes the site useful for prompt engineers, AI product teams, support teams, researchers, educators, and anyone reviewing long conversations or retrieval payloads.
Our Principles
Analyzer first. The homepage starts with the working token counter instead of a generic landing page.
Privacy first. Prompt analysis runs in the browser. The MVP does not call an AI API or upload prompt text to a backend.
Clear accuracy labels. OpenAI tokenizer counts are exact where supported. Other provider rows are labeled as estimates until exact provider tokenizers are available.
Transparent pricing. Model prices are linked to official provider sources and refreshed through a generated catalog workflow.
Who It Is For
Free Token Counter is designed for people who work with LLM prompts repeatedly. A developer can test a system prompt, a marketer can estimate a content generation workflow, a researcher can inspect a long document excerpt, and a support team can compare how a conversation may fit into different model windows.
The tool is independent from AI providers. Provider names are used only to help users compare token and price estimates across common model families.