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Price Per Token

Xai Token Counter & Cost Estimator

Count tokens and estimate costs for Xai's newest models including Grok-2-1212, Grok-2-Vision-1212, Grok-3, Grok-3-Mini, Grok-4 and more. Enter your prompt to get token counts and cost estimates using our interactive tokenizer.

How to Use the Token Counter & Cost Estimator

Step-by-Step Guide

1

Enter Your Prompt

Type or paste your AI prompt into the text area. The token count will update automatically as you type.

2

Review Token Count & Costs

See the estimated token count and real-time cost calculations for your prompt across different AI models:

  • Token Count: Estimated number of tokens your prompt will use
  • Input Cost: Cost to send your prompt to each model
  • Model Comparison: Compare pricing across different providers and models
3

Optimize Your Prompt

Use the insights to optimize your AI usage:

  • Cost Comparison: Find the most cost-effective model for your prompt
  • Token Optimization: Edit your prompt to reduce token count and costs
  • Budget Planning: Estimate costs for your AI projects and workflows
💡 Token Counter Example:

Let's say you're planning to send 100 customer service prompts per day. Each prompt is about 50 tokens. You want to find the most cost-effective model.

Prompt Length: ~50 tokens per prompt

Daily Volume: 100 prompts × 50 tokens = 5,000 tokens/day

Monthly Volume: 5,000 × 30 = 150,000 tokens/month

Enter your prompt in the tool above and instantly see which model offers the best value for your specific use case and volume.

Understanding Token Counting

What are Tokens?

Tokens are the basic units that AI models use to process text. They can be words, parts of words, or punctuation marks. On average, 1 token ≈ 4 characters or ≈ 0.75 words in English.

Token Examples

• "Hello" = 1 token
• "ChatGPT" = 2 tokens (Chat + GPT)
• "Hello, world!" = 4 tokens (Hello, ,, world, !)

Why Token Count Matters

AI models charge based on token usage. Longer prompts use more tokens and cost more. Understanding token count helps you optimize prompts for both performance and cost.

Token Optimization Tips

✂️

Concise Prompts

Remove unnecessary words while keeping instructions clear and specific

🎯

Specific Instructions

Clear, direct instructions often work better than lengthy explanations

📊

Test & Compare

Try different prompt variations to find the optimal balance of length and effectiveness

💰

Budget Awareness

Use the cost calculator to stay within budget for high-volume applications

💡

Pro Tips

Token counts are estimates - actual counts may vary slightly between models

Shorter prompts aren't always better - clarity and specificity matter more

Use this tool to estimate costs before deploying AI features in production

Different models may tokenize the same text differently, affecting costs

Frequently Asked Questions

Everything you need to know about AI pricing and tokens

A token is the basic unit that AI models use to process text. Think of tokens as "chunks" of text that the AI reads and writes. 1,000 tokens equals approximately 750 words of English text. One token equals roughly 4 characters on average. Tokens can be whole words, parts of words, or punctuation. Different languages may use different numbers of tokens. For example, "Hello world" equals 2 tokens. "AI" equals 1 token. "ChatGPT" equals 2 tokens (Chat + GPT). A typical email contains 200-400 tokens. A blog post contains 1,000-3,000 tokens.
An execution or API call is each time you send a request to an AI model and get a response back. Each call is charged separately. The text you send is counted as input tokens and the text you get back is counted as output tokens
A prompt is the input text you send to an AI model - essentially your question, instruction, or request. You can tailor your prompt to get a certain style of response. For examole you could say "You are a friendly customer service agent, respond to the user's request" followed by the question from the user.
Choosing the right AI model depends on your specific needs, budget, and quality requirements. For simple tasks like summaries or basic questions, use cheaper models like GPT-4o-mini or Claude Haiku. For complex reasoning, use premium models like GPT-4o or Claude Sonnet. For specialized tasks, look for models trained for your specific use case. Test with a few models on your actual use case. Premium models often need fewer retries. Sometimes a cheaper model with a better prompt works just as well. Budget models like GPT-4o-mini and Claude Haiku cost $0.15-0.30 per 1M tokens. Balanced models like GPT-4o and Claude Sonnet cost $3-15 per 1M tokens. Premium models like GPT-4 Turbo and Claude Opus cost $15-75 per 1M tokens.

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