What is a token in AI?

A token is the basic unit of text that AI language models process. Tokens are subword pieces — common words like 'the' are one token, while longer words like 'extraordinary' might be 3-4 tokens. On average, 1 token ≈ 0.75 English words, or about 4 characters. Our AI token calculator converts your word count to approximate tokens.

How many tokens per word?

For English text, the average is about 1.33 tokens per word (or 0.75 words per token). However, this varies: simple common words are often 1 token, technical jargon or uncommon words may be 2-4 tokens, and code typically uses more tokens per character. Our tokens to words calculator handles this conversion automatically.

How much does GPT-4o cost per token?

GPT-4o costs $2.50 per 1 million input tokens and $10.00 per 1 million output tokens. That's $0.0000025 per input token and $0.000010 per output token. A typical 1,000-word prompt with a 500-word response costs about $0.01. Our OpenAI token cost calculator shows exact pricing for all models.

How do I reduce AI token costs?

Key strategies: 1) Use smaller models for simple tasks (GPT-4o Mini instead of GPT-4o). 2) Keep system prompts short — they're sent with every call. 3) Limit max output tokens. 4) Use prompt caching where available. 5) Batch requests for 50% savings. 6) Use streaming to stop generation early when you have enough.

What's the difference between input and output tokens?

Input tokens are everything you send to the model — your system prompt, user message, and any context. Output tokens are what the model generates in response. Output tokens typically cost 3-5x more because they require more computation. Our token calculator separates input and output for accurate cost estimation.

How do Claude and GPT-4o compare on pricing?

Claude Sonnet 4 ($3/$15 per 1M tokens) and GPT-4o ($2.50/$10) are similar in price for flagship models. For budget options, Claude Haiku ($0.80/$4) and GPT-4o Mini ($0.15/$0.60) offer significant savings. The best choice depends on your use case — our calculator lets you compare costs across all models.

How do I count tokens in my prompt?

The most accurate way is using the model's tokenizer (like OpenAI's tiktoken library). For quick estimates, divide your word count by 0.75 (or multiply by 1.33). Our AI token calculator does this automatically — just enter your text length or paste your prompt to get an accurate token count and cost estimate.

AI Token Calculator

Our AI token calculator helps developers and businesses estimate how many tokens their prompts and completions use, what it costs per API call, and how different models compare on pricing. Whether you're building a chatbot, processing documents, or fine-tuning your LLM usage, this calculator converts text to approximate token counts and multiplies by current model pricing to give you accurate cost estimates.

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calendar_today Updated: April 2026

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How to Use This Calculator

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Select AI Model

Choose your AI model from the dropdown or set custom pricing. Prices are automatically loaded for popular models.

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Enter Text Length

Input your prompt word count and expected response length. The calculator converts words to tokens automatically.

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Set Volume

Enter how many API calls you make per day to see monthly cost projections.

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Compare & Optimize

Switch between models to compare costs. Use the model comparison table to find the best value for your use case.

The Formula

AI models process text as tokens — subword units that average about 0.75 words per token (or ~1.33 tokens per word) for English. Pricing is per million tokens, with output tokens typically costing 3-5x more than input tokens. Total API cost is the sum of input and output token costs.

Cost = (Input Tokens × Input Price / 1M) + (Output Tokens × Output Price / 1M)

lightbulb Variables Explained

Input Tokens Number of tokens in your prompt (≈ words × 1.33 for English text)
Output Tokens Number of tokens in the AI response/completion
Input Price Cost per 1 million input tokens for the selected model
Output Price Cost per 1 million output tokens for the selected model

tips_and_updates Pro Tips

1 token ≈ 0.75 words in English — a 750-word article is roughly 1,000 tokens

Output tokens cost 3-5x more than input tokens for most models — keep responses concise

Claude 3.5 Haiku and GPT-4o Mini are the best value for high-volume tasks

System prompts count as input tokens on every API call — keep them short

Batch API calls (where available) can save 50% on costs

Token counts vary by language — CJK characters use more tokens than English

Cache frequently used prompts to avoid re-tokenizing the same content

Calculate AI Token Cost & Usage

Our free AI token calculator estimates token count, cost per API call, and monthly spending for OpenAI GPT, Anthropic Claude, Google Gemini, and other LLMs. Compare pricing across models and optimize your AI budget.

AI Token Cost Calculator

How much does it cost to use AI APIs? Our token cost calculator multiplies your input and output token counts by the model's per-token pricing. GPT-4o costs $2.50/$10 per million tokens (input/output), while Claude Sonnet 4 costs $3/$15. Enter your text length and see exact costs instantly.

Words to Tokens Converter

How many tokens is my text? English text averages 1.33 tokens per word. A 1,000-word prompt is about 1,333 tokens. Code and non-English text may use more tokens. Our calculator converts words to tokens automatically and shows the cost for any AI model.

Compare LLM Pricing

Which AI model gives the best value? Compare GPT-4o, GPT-4o Mini, Claude Opus, Claude Sonnet, Claude Haiku, and Gemini side by side. Our LLM pricing calculator shows cost per call and monthly estimates so you can choose the right model for your budget and quality needs.

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