Token Counter Calculator
Free token counter for GPT-4, GPT-3.5, Claude, and Gemini. Count tokens, estimate API costs, and optimize prompts instantly. No signup required.
What is a Token Counter?
A token counter calculates how many tokens your text will use when sent to AI APIs like OpenAI's GPT, Anthropic's Claude, or Google's Gemini. Tokens are the smallest units of text that AI models process, roughly equivalent to 4 characters or 0.75 words.
This free online tool estimates tokens, shows API costs across models, and helps you optimize prompts before spending money. No signup required.
Count Tokens & Estimate Costs
0 characters
How Do Tokens Work?
Token Formula
Approximate: 1 token ≈ 4 characters ≈ 0.75 words
Examples: "hello" = 1 token, "Hello world!" = 3 tokens, an average paragraph = 50–100 tokens
📊 What affects token count?
- Spaces: Each space is counted as a partial token
- Punctuation: Commas, periods, quotes count as tokens
- Numbers: Multi-digit numbers are 1–2 tokens each
- Special characters: Brackets, symbols add tokens
- Formatting: Markdown, HTML, JSON add overhead
💰 Token Cost Examples
At current API pricing (May 2024):
• 100 tokens via GPT-4: ~$0.003
• 100 tokens via GPT-3.5: ~$0.00005
• 100 tokens via Claude 3: ~$0.0003
• 100 tokens via Gemini: ~$0.00005
⚡ Context Windows
Models have maximum token limits for input + output:
• GPT-4: 8K or 32K or 128K tokens
• GPT-3.5: 4K tokens
• Claude 3 Opus: 200K tokens
• Gemini Pro: 32K tokens
How to Reduce Token Usage & Costs
✂️ Edit Text
Remove redundant words, avoid repetition, be concise. Every word saved reduces tokens and costs.
📋 Use Bullet Points
Bullet points are more token-efficient than prose for lists. "• Item 1 • Item 2" uses fewer tokens than full sentences.
💡 Be Specific
Clear, detailed prompts use roughly the same tokens but yield better results. "Detailed" is worth the token cost.
🔀 Choose Cheaper Models
Gemini and GPT-3.5 cost 1/10th of GPT-4. For basic tasks, cheaper models often work fine.
📦 Batch Requests
Send multiple queries at once instead of separately. Reduces token overhead from repeated context setup.
AI Model Comparison (May 2024)
| Model | Input Cost/1M | Output Cost/1M | Context Window | Best For |
|---|---|---|---|---|
| GPT-4 | $3.00 | $6.00 | 128K | Complex reasoning |
| GPT-3.5 | $0.50 | $1.50 | 4K | Fast, affordable |
| Claude 3 Opus | $3.00 | $15.00 | 200K | Long documents |
| Gemini 1 Pro | $0.50 | $1.00 | 32K | Budget-friendly |
References & Resources
- OpenAI Tokenizer: https://platform.openai.com/tokenizer
- OpenAI API Pricing: https://openai.com/pricing
- Anthropic API Pricing: https://www.anthropic.com/pricing
- Google Gemini Pricing: https://ai.google.dev/pricing
- Token Limit Information: https://platform.openai.com/docs/models