AIトークンカウンター — GPT、Claude、Gemini

GPT-4、Claude、Gemini等のAIモデルのトークン数をカウントしAPIコストを見積もります。無料で登録不要。

Tokens

Characters

Words

Lines

Enter your text

Cost Estimate by Model

Model	Context	Input Cost	Output Cost
GPT-4o	128K	$0.000000	$0.000000
GPT-4o mini	128K	$0.000000	$0.000000
GPT-4 Turbo	128K	$0.000000	$0.000000
Claude 3.5 Sonnet	200K	$0.000000	$0.000000
Claude 3 Haiku	200K	$0.000000	$0.000000
Claude 3 Opus	200K	$0.000000	$0.000000
Gemini 1.5 Pro	1M	$0.000000	$0.000000
Gemini 1.5 Flash	1M	$0.000000	$0.000000
Llama 3.1 70B	128K	$0.000000	$0.000000
Mistral Large	128K	$0.000000	$0.000000

* Token count is an approximation (~4 characters per token for English). Actual tokenization varies by model. Prices are estimates based on published API pricing.

About AI Token Counter

Tokens are the basic units that AI language models use to process text. This tool estimates the token count for your text across popular models like GPT-4, Claude, Gemini, and Llama. It also calculates the approximate API cost for each model. Useful for optimizing prompts, estimating API costs, and staying within context window limits.

𝕏 Twitter in LinkedIn

💬 User Feedback

このツールを評価

4.5 / 5 · 176 件の評価

その他のツール

123文字カウンター AzCharacter Counter

How to Use AI Token Counter

Paste or type your text (prompt, system message, or document) into the input field
View the estimated token count, character count, word count, and line count instantly
Check the cost estimate table to see API pricing across GPT-4, Claude, Gemini, and other models
Optimize your prompt to reduce token usage and lower API costs
Compare input vs output costs to budget your AI API usage

Common Use Cases

Estimating API costs before sending prompts to GPT-4, Claude, or Gemini
Checking if text fits within a model's context window limit
Optimizing prompt length to reduce token usage and save costs
Comparing token counts across different AI models for cost efficiency
Budgeting AI API expenses for production applications

Frequently Asked Questions

What are tokens in AI language models?

Tokens are the basic units that LLMs use to process text. A token can be a word, part of a word, or a punctuation mark. In English, one token is roughly 4 characters or 0.75 words. For example, 'chatbot' is one token, while 'understanding' might be split into 'under' + 'standing'.

How many tokens can GPT-4 and Claude handle?

GPT-4o supports up to 128K tokens context window. Claude 3.5 Sonnet supports 200K tokens. GPT-4 Turbo supports 128K tokens. These limits include both input (prompt) and output (response) tokens combined.

How are AI API costs calculated based on tokens?

AI APIs charge per token, usually priced per 1 million tokens. Input tokens (your prompt) and output tokens (the response) are priced differently, with output tokens typically costing 3-5x more. This tool shows both input and output costs for each model.

Is the token count exact for all models?

The count is an approximation based on the average of ~4 characters per token for English text. Each model uses its own tokenizer (GPT uses tiktoken, Claude uses its own BPE tokenizer), so exact counts may vary slightly. The estimate is accurate enough for cost planning.

How can I reduce token usage to lower API costs?

Remove unnecessary whitespace and verbose instructions. Use concise prompts. Avoid repeating context. Use system messages efficiently. Consider shorter model responses by setting max_tokens. For large documents, use chunking or summarization before sending to the API.

Do different languages use different amounts of tokens?

Yes. English is the most token-efficient language for most LLMs. Chinese, Japanese, Korean, and other non-Latin languages typically require 2-3x more tokens per word because the tokenizers were primarily trained on English text. This significantly affects API costs for non-English use.

What is a context window in AI models?

The context window is the maximum number of tokens an AI model can process in a single request, including both the input prompt and the generated output. If your text exceeds the context window, it will be truncated or the API will return an error.

Does this tool send my text to any AI service?

No. Token counting is performed entirely in your browser using a local approximation algorithm. Your text is never sent to OpenAI, Anthropic, Google, or any other service.