AI Token Counter & Tokenizer
Count tokens across OpenAI, Claude, Gemini, DeepSeek, Qwen, and Llama models. This tool works like a tiktoken counter in your browser, with no code or setup required. Paste your prompt, pick a model, and see the token count and estimated cost instantly.
Prompt Token Counter
Check your prompt's token count and estimated costs instantly for any AI model.
Models
Compare token counts across models.
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Why Token Counting Matters
Every time you send a prompt to OpenAI, Claude, Gemini, DeepSeek, Qwen, or Llama, you pay for tokens, not characters or words. A single prompt can use hundreds or thousands of tokens depending on how it's structured. Different AI models count tokens differently too. If you're building with AI APIs or trying to stay under your monthly budget, you need to know exactly what you're spending before you hit send. Our token cost calculator estimates the cost for each model instantly, so there are no surprises when the bill comes.
Token costs vary wildly, so whether you need a tiktoken tokenizer for OpenAI or a Claude token counter for Anthropic, knowing your cost per call matters. OpenAI's GPT-5.4 charges $2.50 per million input tokens and $15 per million output tokens. Claude Sonnet 4.6 runs $3 per million input tokens and $15 per million output tokens. Gemini 3.1 Pro charges $2.00-$4.00 per million input tokens and $12.00-$18.00 per million output tokens. DeepSeek comes in cheaper at $0.28 per million input tokens. Qwen Plus uses tiered pricing: $0.40 per million input tokens for prompts up to 256K tokens, and $0.50 per million for prompts between 256K and 1M tokens. Llama 4 Maverick is one of the most affordable options, with Meta estimating a cost of around $0.19 per million tokens for distributed inference. When you're running hundreds or thousands of API calls, these differences add up fast.
AI token limits matter too. Most models max out between 128K and 1M tokens. Go over that limit and your prompt gets rejected. Our tokenizer lets you check token counts and estimated costs across all major AI models in real-time. Paste your prompt, pick your model, and see exactly how many tokens you're using. It's free and works instantly.
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Frequently Asked Questions
Tokens are chunks of text that AI models use to process language. They're not the same as words. A token can be a whole word, part of a word, or punctuation. "Happy" is one token, but "unexpectedly" might split into two or three.
No. Tokens are usually smaller than words. A rough rule is 1 token equals about 0.75 words in English. "Hello world" is 2 words but 2 tokens. "Artificial intelligence" is 2 words but could be 3-4 tokens depending on the model. On average, one token equals about 0.75 words, or roughly 4 characters.
Each provider uses its own tokenizer with different splitting rules. OpenAI might count 15 tokens for a sentence while Claude counts 17 for the same text. Always check counts for your specific model.
Input tokens are what you send to the model. Output tokens are what the model generates back. Most providers charge different rates for each. For example, OpenAI GPT-5.4 charges $2.50 per million input tokens but $15 per million output tokens.
Costs vary by model. As a rough guide per million input tokens: OpenAI GPT-5.4 costs $2.50, Claude Sonnet 4.6 runs $3, Gemini 3.1 Pro ranges from $2.00-$4.00, and budget options like DeepSeek, Qwen Plus, and Llama 4 Maverick come in well under $1. Full pricing details are covered above.
Our token cost calculator uses current pricing from each provider's official documentation. Costs are estimates based on standard input/output rates. Actual costs may vary slightly if you use cached tokens or special pricing tiers.
Most models support 128K to 1M tokens. Claude Sonnet 4.6 handles 200K tokens. Gemini 3.1 Pro supports up to 1M tokens. OpenAI GPT-5.4 supports up to 1M tokens. DeepSeek maxes out at 128K tokens. Exceeding these limits causes your API call to fail.
Remove filler words and be direct. Cut phrases like "please" and "I would like you to". Use abbreviations where appropriate. Test prompts with our tokenizer to find where you can trim before sending to the API.
Tiktoken is OpenAI's open-source Python library for counting tokens locally. Developers typically install it via pip and run it in their codebase to check token counts before API calls. This tool does the same thing in your browser with no installation needed. It also supports Claude, Gemini, DeepSeek, Qwen, and Llama, which tiktoken doesn't cover.
About 150,000 words. The exact number depends on the language and content type, but a reliable estimate for English text is 0.75 words per token. So 128K tokens is roughly 96,000 words, and 200K tokens is about 150,000 words.