How many tokens are in this text?
The answer comes from applying the selected compatible encoding or labeled estimate to the exact text. Spaces, punctuation, code, numbers, line breaks, and parts of words can each affect the result, so a word count cannot replace tokenization. The result panel reports the complete count even when a very large visualization is shortened.
This AI token counter also shows characters, words, context share, and a text-input cost estimate. Those values help diagnose prompt length without treating the browser count as a provider invoice.
Can I count chat message tokens?
Yes. Chat mode separates System, User, and Assistant message bodies, counts their visible content, and adds a stated message-format allowance. It does not claim that the allowance matches every API endpoint or model release. Names, tool definitions, structured-output schemas, attachments, images, and generated output may add more tokens.
Use the AI token counter to edit visible content, then inspect the actual API usage response.
Which model should you select?
Select the model family that matches the request you are planning. GPT modes use a compatible local encoding. Claude, Gemini, and DeepSeek modes provide comparable local estimates but do not reproduce those providers' billing tokenizers.
The accuracy badge is part of the answer: Compatible and Estimate are different evidence levels. Read what an AI token represents before interpreting boundaries; the AI token counter never labels all providers Exact.
When should an AI token counter lead to cost planning?
Use the AI token counter first, then calculate cost after the input shape is realistic and you have an expected output range. Input alone can be a small part of the request when responses are long, retries occur, or repeated context qualifies for cached pricing.
Continue from the AI token counter to the AI token cost calculator, then compare current rates in LLM API pricing.