Tiktokenizer counts and visualizes AI text tokens in your browser, estimates input and output API cost, and compares source-linked pricing across GPT, Claude, Gemini, and DeepSeek models. Use the tokenizer for prompt structure, then carry the result into the token cost calculator for per-request, monthly, and annual workload estimates.
Provider API usage records remain the final source of truth for billing.
Tiktokenizer can estimate a second workload without changing the token data source. Enter normal input, cached input, output, and traffic assumptions below.
This estimate uses published text-token rates. It excludes tool calls, media, storage, taxes, regional pricing, platform fees, and provider-side token differences.
Each answer stands on its own, then routes to a calculator or a more detailed guide.
An AI tokenizer converts input into token IDs a model can process. Tokens may represent complete words, word fragments, punctuation, whitespace, or byte sequences. Tiktokenizer makes compatible boundaries visible so you can inspect the request rather than relying on a word-count ratio.
Read what a token meansTokens are counted by applying a model encoding or a labeled compatible estimate to the exact text. Language, punctuation, code, numbers, and formatting all affect the total. Use the AI token counter for text and chat-message modes.
1,000 tokens is approximately 750 words for typical English prose. This is an estimate rather than an exact conversion because a token can be a word, a fragment, punctuation, or whitespace. Check other values in the tokens to words calculator.
1,000 English words is approximately 1,333 tokens using the common 0.75-words-per-token estimate. Exact results vary by tokenizer and text shape. Use the 1,000-word token guide before counting the actual text.
Multiply normal input, eligible cached input, and output tokens by their current per-token rates, then add the three amounts. Multiply cost per request by traffic for daily and monthly estimates. Tiktokenizer keeps the formula and official price date visible.
Calculate a workloadModel families can use different tokenizer vocabularies, encodings, message formatting, and multimodal accounting. Tiktokenizer labels GPT text Compatible and Claude, Gemini, and DeepSeek Estimate so the comparison does not imply identical billing tokenization.
Inspect GPT tokenizationPaste representative text or separate chat messages. Tiktokenizer shows token count, characters, words, context share, compatible token IDs, and an input-cost estimate without sending the prompt to a provider.
Move to the cost calculator after the prompt is realistic. Enter expected output, cached input, requests per day, and active days. Run typical, long-output, and retry scenarios.
Review LLM API pricing or calculate GPT vs Claude API cost. “Lowest estimated cost” applies to the selected workload, not model quality.
Open the official source before funding an account or publishing a budget. Tiktokenizer centralizes mutable rates and verified dates, while provider usage records remain final for billing.
Tiktokenizer measured plain text, Unicode, Chinese, code, line breaks, chat messages, token IDs, and cost formulas in the current browser build. Its main limitation is provider scope: OpenAI-family text is Compatible, while Anthropic Claude, Google Gemini, and DeepSeek counts remain estimates rather than billing records. OpenAI token guide. Last verified: .
| Evidence | Observed result or boundary |
|---|---|
| Browser measurement | Local token count, first-and-last long-input preview, message overhead, and cost outputs. |
| Provider boundary | OpenAI Compatible; Anthropic Claude, Google Gemini, and DeepSeek Estimate. |
Tiktokenizer questions
Tiktokenizer is an independent browser-based AI tokenizer and token cost calculator. It counts compatible text locally, labels estimates for other providers, and applies dated official list prices to workload scenarios.
No. Tiktokenizer analyzes language-model tokens. It is not a TikTok video or analytics tool and has no affiliation with TikTok.
The current Tiktokenizer tool keeps prompt text in the browser tab. It has no prompt-processing API route and does not send the entered text to a model provider.
No. GPT text uses a compatible encoding. Claude, Gemini, and DeepSeek are marked Estimate. Provider token-counting and usage records remain authoritative for billing.
Start with the token cost calculator for your workload, then open LLM API pricing or the GPT vs Claude comparison. Every mutable price links to an official source and verified date.
Tiktokenizer is suitable for prompt editing, context planning, and source-linked cost scenarios. It is not for producing an invoice; replace local estimates with measured provider tokens, real output length, cache hits, retries, and traffic.