Quick start
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Paste text
Multi-line prompts, code blocks, mixed languages.
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View stats
See chars, words, and CJK counts at a glance.
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Check model budget
Use GPT / Claude estimate columns for context planning.
Token Estimator
Paste prompts or articles for live token estimates; stay within model context limits. Mixed CJK and English supported.
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Paste your prompt or text
Live stats for chars, words, and token estimates，useful for LLM context budgeting.
Output
Characters
81
Words
10
Lines
1
CJK characters
17
GPT est. tokens
31
Claude est. tokens
30
Notes
About token estimates
Heuristic counts，they may differ slightly from official tiktoken tools, but are fine for context budgeting and prompt planning. ~31 GPT tokens estimated.
Paste prompts or articles for live token estimates; stay within model context limits. Mixed CJK and English supported.
What is a token
LLMs split text into tokens for billing and limits. English is ~4 chars per token; CJK varies by tokenizer.
How accurate is this
Heuristic formulas; may differ slightly from official tiktoken, but fine for budgeting and trimming.
Typical Workflow
When crafting LLM prompts, paste your text here to monitor token usage in real-time. The tool highlights warnings when approaching model limits (e.g., GPT-4's 8k context). Trim redundancies or split prompts at this stage to ensure full message delivery.
For long texts like technical translations, use paragraph mode for section-by-section review. Prioritize headings and key paragraphs, leaving 20% token headroom for responses. Note Chinese characters consume ~1.5 tokens each in mixed-language texts.
Examples
Short prompt
Input
Summarize this article in 3 bullet points.
A short English line is roughly a dozen tokens.
FAQ
Match ChatGPT counts?
Not always identical, but same ballpark; good for pre-flight checks.
How about code?
Character heuristics; symbol-heavy code may skew high.
Why does token count vary drastically for texts with similar word counts?
Tokenization differs by language: English uses words/subwords while Chinese uses characters/words. For example, '深度学习' may split into 2-4 tokens. The tool uses OpenAI's tiktoken library for API-consistent billing.