LLM Token 计数器
使用真实的 BPE 分词器为 OpenAI 模型精确计算 token，并为 Claude、Gemini 等其他模型提供明确标注的估算值。
Enter some text to see the count.
使用方法
- Paste the text you want to count.
- Pick a model. GPT-4o family and GPT-4/3.5 are counted exactly with the real tokenizer.
- Claude, Gemini, Llama and Mistral show an estimate, always labeled as one, with the heuristic stated.
注意事项
Exact counts run entirely in your browser with gpt-tokenizer (o200k_base / cl100k_base); your text is never sent to a server. Other providers do not publish a browser tokenizer, so this page offers only a character-based estimate for them and never presents it as exact.
常见问题
- How far off can the estimates be?
- For English prose, often within 10–20%, but code, long numbers and CJK text can be far off. Keep a margin when budgeting from an estimate.
- Why does Japanese cost more tokens?
- BPE tokenizers are trained mostly on English, so a Japanese character typically becomes about one token (sometimes more). You can verify this with the exact GPT counters on this page.