AI Token Calculator

Token Count & Cost Calculator for ChatGPT, Claude, Gemini

Accurately calculate token counts for AI models (GPT-4, Claude, Gemini, etc.). Simply input text to instantly compute token count, character count, and estimated API costs. Perfect for prompt optimization and cost management.

How to Use

Calculate token counts in just 3 simple steps:

Step 1: Select AI Model
Choose your AI model: GPT-4, GPT-3.5, Claude 3, Gemini Pro, etc. Pricing per token varies by model.
Step 2: Enter Text
Input the text you want to analyze (prompts, documents, code, etc.). Results update in real-time as you type.
Step 3: View Results
Token count, character count, word count, and estimated API costs (input/output) are displayed instantly.

Privacy Protection: All calculations are performed in your browser. Input text is never transmitted to any server.

AI Token Calculator Tool

AI Model

Text Input

Results

* Costs are estimates. Check official API documentation for accurate pricing.

Use Cases

AI Token Calculator is useful in various scenarios:

1. Prompt Optimization

"This prompt is 5000 tokens at $0.15, but can be reduced to 3000 tokens at $0.09" - optimize long prompts to reduce costs effectively.

2. API Cost Estimation

"Analyzing 10,000 customer reviews costs $50 with GPT-4 vs $5 with GPT-3.5" - compare models to select the most cost-effective option for budget management.

3. Token Limit Verification

Check instantly: "Is this text within the 4096 token limit for ChatGPT plugins?" or "Can Claude handle this 100K token document?"

4. Multilingual Text Comparison

"1000 English characters = 250 tokens, 1000 Japanese characters = 650 tokens" - discover that Japanese consumes 2-3x more tokens than English.

5. Code Generation Cost Calculation

"Generating this code (1500 tokens) with GPT-4 costs $0.09" - accurately estimate budgets for large-scale code generation projects.

6. Batch Processing Design

"Sending an 8000-token document at once: $0.24 vs splitting into 2000 tokens × 4 times: $0.24 (same cost)" - compare to determine optimal processing strategy.

What are AI Tokens?

AI tokens are the smallest unit used by Large Language Models (LLMs) to process text. Unlike character count, token counting varies by language and model.

Token Definition

Tokens are units of words, parts of words, punctuation, or symbols. In English, "Hello" = 1 token; in Japanese, "こんにちは" = 2-3 tokens typically. Spaces and line breaks also count as tokens.

Difference Between Tokens and Characters

English: ~4 characters = 1 token, Japanese: ~1.5-2 characters = 1 token, Code: varies by syntax. Example: "Hello World" (11 characters) = 2 tokens, "こんにちは世界" (7 characters) = 4-5 tokens.

Why Token Count Matters

AI API pricing is based on token count (e.g., GPT-4: $0.03 per 1000 tokens). Each model has token limits (GPT-4 8K = 8192 tokens), and exceeding them causes errors. Understanding token counts is essential for efficient prompt design.

Token Limits by Major AI Models

GPT-4 (8K): 8,192 tokens, GPT-4 (32K): 32,768 tokens, GPT-4 Turbo: 128,000 tokens, GPT-3.5 Turbo: 16,385 tokens, Claude 3: 200,000 tokens, Gemini Pro: 32,768 tokens, Gemini Ultra: 100,000 tokens (planned).

Pricing Comparison by Major AI Models

GPT-4: input $0.03/1K, output $0.06/1K, GPT-4 Turbo: input $0.01/1K, output $0.03/1K, GPT-3.5 Turbo: input $0.0005/1K, output $0.0015/1K, Claude 3 Opus: input $0.015/1K, output $0.075/1K, Claude 3 Sonnet: input $0.003/1K, output $0.015/1K, Gemini Pro: free tier available (see official docs).

How Tokenization Works

AI models split text into tokens using algorithms like BPE (Byte Pair Encoding) or WordPiece. Common words become 1 token; rare words split into multiple tokens. Emojis and special characters can be multiple tokens per character.

Input Tokens vs Output Tokens

AI APIs charge differently for input (prompts) and output (generated text). Output tokens are typically more expensive (e.g., GPT-4 output costs 2x input). For cost optimization, limit output tokens using the max_tokens parameter.

Accuracy of This Tool

This tool simulates official tokenizers for each model but doesn't guarantee perfect accuracy. For precise token counts, use official tools (OpenAI's tiktoken, Anthropic's Claude Tokenizer, etc.). It provides sufficient accuracy for estimation purposes.

Benefits of This Tool

AI Token Calculator offers these advantages:

Support for 9 Major Models: Compatible with 9 leading AI models: GPT-4 (3 variants), GPT-3.5, Claude 3 (3 variants), Gemini (2 variants). Compare multiple models easily.
Real-Time Calculation: Token counts and costs update instantly as you type. Optimize prompts in real-time while editing.
Automatic Cost Calculation: Calculates not only token counts but also input cost, output cost, and total cost automatically. Simplifies budget management.
Privacy Protection: All calculations happen in your browser. Input text is never sent externally, so you can safely calculate with confidential information.
Completely Free & No Installation: Use instantly in your browser with no app installation or API key registration required. All features are completely free.

What's the difference between token count and character count?

Character count is simply the number of characters, while token count is the processing unit used by AI models. As a rule of thumb: English ~4 characters = 1 token, Japanese ~1.5-2 characters = 1 token. Example: "Hello World" (11 characters) = 2 tokens, "こんにちは世界" (7 characters) = 4-5 tokens. Varies by language and model.

Why does Japanese use more tokens than English?

Most AI models (GPT-4, Claude, etc.) are primarily trained on English, where common words fit in 1 token. Japanese characters (kanji, hiragana, katakana) are multi-byte and can require multiple tokens per character. As a result, the same content in Japanese consumes 2-3x more tokens than in English.

How accurate is this tool's calculation?

This tool simulates official tokenizers for each model but doesn't guarantee perfect accuracy. It provides sufficient accuracy for estimation, but for precise token counts, use official tools (OpenAI's tiktoken, Anthropic's Claude Tokenizer, etc.). Discrepancies may occur especially with special characters and emojis.

Tips for shortening prompts?

①Remove redundant expressions ("able to do" → "can"), ②Consolidate duplicate instructions, ③Minimize examples, ④Use structure (bullet points, tables) to reduce tokens, ⑤Omit unnecessary politeness and conjunctions, ⑥Remove comments from code. Example: "Please follow these steps to execute the process" (18 tokens) → "Execute steps" (3 tokens).

What's the difference between input and output tokens?

Input tokens are in your submitted prompt; output tokens are in the AI's generated response. They're billed separately, with output tokens typically more expensive (GPT-4 output costs 2x input). To reduce costs, limit output tokens using the max_tokens parameter.

Are there any free AI models?

Gemini Pro has a free tier (monthly limits apply, see official docs). ChatGPT Free (GPT-3.5 based) is available free on the web, though API access is paid. Claude 3 Haiku and GPT-3.5 Turbo are low-cost (~$0.0005-0.003 per 1000 tokens), nearly free for small-scale use.

What happens if I exceed token limits?

You'll receive an error and processing will stop (e.g., exceeding 8192 tokens on GPT-4 8K). Solutions: ①Split text into multiple submissions, ②Summarize to shorten, ③Switch to long-context models (GPT-4 Turbo 128K, Claude 3 200K), ④Delete unnecessary parts. Use this tool to check beforehand and avoid errors.

Can I trust the cost calculation?

This tool calculates based on official pricing tables (as of 2024), but prices may change. Actual costs may vary by API plan or volume discounts. Always verify current pricing in official documentation (OpenAI Pricing, Anthropic Pricing, etc.). Use estimates as reference only.