LLM Token Counter
Count tokens, estimate costs for GPT-4, Claude, Gemini, Llama & more
Text Statistics
Cost Estimate (GPT-4o)
Output: $10/1M tokens
LLM Pricing Comparison (per 1M tokens)
| Model | Input | Output | Your Cost (Input) |
|---|---|---|---|
| GPT-4o | $2.50 | $10.00 | $0.000000 |
| GPT-4 Turbo | $10.00 | $30.00 | $0.000000 |
| GPT-4 | $30.00 | $60.00 | $0.000000 |
| GPT-3.5 Turbo | $0.50 | $1.50 | $0.000000 |
| Claude 3.5 Sonnet | $3.00 | $15.00 | $0.000000 |
| Claude 3 Opus | $15.00 | $75.00 | $0.000000 |
| Claude 3 Haiku | $0.25 | $1.25 | $0.000000 |
| Gemini 1.5 Pro | $1.25 | $5.00 | $0.000000 |
| Gemini 1.5 Flash | $0.07 | $0.30 | $0.000000 |
| Llama 3.1 70B | $0.88 | $0.88 | $0.000000 |
| Mistral Large | $3.00 | $9.00 | $0.000000 |
How Token Counting Works
What is a token? Tokens are chunks of text that LLMs process. A token can be a word, part of a word, or punctuation. On average, 1 token ≈ 4 characters or ≈ 0.75 words in English.
Why does this matter? API pricing is based on tokens. Understanding token counts helps you estimate costs and stay within context limits (e.g., GPT-4 Turbo: 128K tokens).
Note: This is an estimate. Actual token counts vary by model tokenizer. Use official tools for exact counts (e.g., OpenAI Tokenizer, Anthropic Token Counter).
Frequently Asked Questions
How many tokens is 1000 words?
Approximately 1,333 tokens. The general rule is 1 word ≈ 1.33 tokens for English text.
What's the difference between GPT-4 and GPT-4 Turbo?
GPT-4 Turbo is faster, cheaper, and has a larger context window (128K vs 8K tokens) compared to standard GPT-4.
Which model is cheapest?
Gemini 1.5 Flash is currently one of the cheapest at $0.075/1M input tokens. Claude 3 Haiku is also very affordable at $0.25/1M.
Do code and non-English text use more tokens?
Yes! Code typically uses more tokens due to special characters. Non-English languages (especially non-Latin scripts) can use 2-3x more tokens.