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ZeroLimitAI
Free Tool

Token Counter

Estimate the number of tokens in your text — compatible with GPT-4, Claude, and Gemini tokenizers. Useful for prompt engineering and cost estimation.

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Estimated cost for this prompt

GPT-4o (OpenAI)$0.0000
Claude Sonnet 4.6$0.0000
Gemini 2.5 Flash$0.0000
ZeroLimitAIFree ✓

* Prices are per-token input rates as of March 2026. Token count is an approximation based on cl100k_base tokenizer rules (±5% accuracy).

What is a token?

Tokens are chunks of text that AI models process. In English, ~1 token ≈ 4 characters or ¾ of a word. "ChatGPT" = 2 tokens. Common words are usually 1 token.

Why does it matter?

Most AI APIs charge per token. Context windows also have limits — GPT-4o supports 128K tokens, Gemini 2.5 up to 1M. Long prompts cost more and may be truncated.

ZeroLimitAI is free

With ZeroLimitAI, you never pay per token. Our ZeroOptimize™ engine routes your messages to the best free model automatically — no cost, no limits.

Stop worrying about token costs. Use ZeroLimitAI for free.

Frequently asked questions

How many tokens is 1000 words?

Approximately 750–800 tokens for English text. AI models tokenize roughly 1 token per 4 characters or 0.75 tokens per word. A 1,000-word document is typically 750–800 tokens.

How many tokens does GPT-4o support?

GPT-4o supports a 128,000 token context window, equivalent to roughly 96,000 words or a 300-page book in a single prompt.

How do I count tokens for Claude Sonnet?

Paste your text into the token counter above. Claude Sonnet uses a similar tokenizer to GPT models — approximately 1 token per 4 characters. Claude Sonnet 3.7 supports a 200,000 token context window.

How much does it cost per token with GPT-4o vs Gemini 2.5 Flash?

GPT-4o costs ~$2.50 per million input tokens. Gemini 2.5 Flash costs ~$0.15 per million tokens — 16× cheaper. ZeroLimitAI's ZeroOptimize™ automatically routes messages to the most cost-effective model for your task.

Is this token counter accurate for all AI models?

This tool provides an estimation based on the most common tokenization pattern (approximately 1 token per 4 characters or 0.75 tokens per word). Exact counts vary slightly between models — OpenAI's tiktoken library gives exact counts for GPT models, and Anthropic provides exact counts for Claude models.

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