Token Calculator

Paste any text and get a quick token estimate—great for budgeting prompts and staying within limits.

Model / Tokenizer

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Tokens

Words

Characters

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11 tokens is roughly 0.0110× of 1M tokens. At gpt-5.4 pricing ($2.50/1M input tokens), this prompt costs approximately $0.000028.

How tokenization works

LLMs don't process words — they process tokens. A token is roughly 4 characters or ¾ of a word in English. Common words like "the" are single tokens; less common words may be split into multiple tokens.

Chinese, Japanese and Korean characters typically use 1.5–2 tokens per character, making CJK text more expensive to process than equivalent English text.

FAQ

Frequently asked questions

Detailed answers below are in English for technical accuracy.

What is a token in AI?▼

A token is the basic unit of text that large language models (LLMs) process. In English, 1 token equals approximately 4 characters or 3/4 of a word. Common words like 'the' are a single token, while longer or uncommon words may be split into multiple tokens.

How many tokens is 1000 words?▼

Approximately 1,000 words in English equals 1,300–1,400 tokens. The exact count depends on word length and the model's tokenizer. Use our token calculator above to get precise counts for your text.

How do I calculate tokens for GPT-5 or GPT-4o?▼

OpenAI chat models (e.g. gpt-5.4, GPT-4o) use tokenizer schemes in the tiktoken family; exact IDs differ by endpoint. Rule of thumb: ~4 characters or ~0.75 English words per token. Our calculator uses family-level heuristics for OpenAI, Anthropic Claude, Gemini, DeepSeek, and CJK text.

Why do tokens cost money in LLM APIs?▼

LLM APIs like OpenAI and Anthropic charge per token because tokens represent the compute required to process your request. Both input tokens (your prompt) and output tokens (the model's response) are billed, with output tokens typically costing 3–4× more.

How many tokens fit in GPT-4's context window?▼

GPT-4o supports up to 128,000 tokens per request. GPT-4.1 and Gemini 2.5 Flash can reach 1,000,000 tokens. Claude Sonnet 4.6 and Opus 4.6 support up to 1,000,000 tokens on the Anthropic API. OpenAI gpt-5.4 lists a 272,000-token context on the standard tier.

Do Chinese characters use more tokens than English?▼

Yes. Chinese, Japanese, and Korean (CJK) characters typically require 1.5–2 tokens per character, compared to English where 1 token covers ~4 characters. This means processing CJK text with LLMs costs significantly more per word.