Free LLM token counter — estimate token usage for GPT, Claude, Gemini, and Llama prompts in real time.
Token counter
Approximation only. For exact counts use the official tokenizer (tiktoken, Anthropic SDK, etc.).
Why approximations differ
Each LLM family uses its own BPE vocabulary. Real token counts depend on punctuation, language, and special characters. Use these numbers for budgeting, not billing.Was LLM Token Counter useful?
Your vote helps us prioritize improvements.
The QuickToolz LLM Token Counter estimates how many tokens your text uses across the major model families — OpenAI GPT-4 / GPT-5, Anthropic Claude, Google Gemini, Meta Llama, and Mistral. Paste a prompt and see token count, character count, and approximate cost live.
LLMs price, rate-limit, and context-window everything in tokens, not characters or words. As a rough rule, 1 token ≈ 4 characters of English (or ¾ of a word) — but the real number depends on the tokenizer (BPE vs. SentencePiece vs. Tiktoken). Counting tokens before sending prevents context overflow and cost surprises.
OpenAI: tiktoken (cl100k_base for GPT-4, o200k_base for GPT-4o/5)
Claude: a proprietary BPE close to cl100k
Llama / Mistral: SentencePiece (BPE)
Gemini: SentencePiece with a custom vocab
Everything you need, nothing you don’t. Built for speed and simplicity.
Tokenizers for OpenAI, Anthropic, Google, Meta, and Mistral.
Approximate USD cost based on current API pricing.
Updates as you type — no submit button.
Everything you need, nothing you don’t. Built for speed and simplicity.
Drop in any text — system prompt, user message, or document.
Got questions? We’ve got answers. Common questions about LLM Token Counter.
Switch between GPT, Claude, Gemini, and Llama tokenizers.
Live token count and approximate cost at current pricing.