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AI Token Calculator

Estimate API costs for GPT-4, Claude, Gemini, and more

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Cost Estimate — GPT-4o

Input Cost

$0.0025

1,000 tokens

Output Cost

$0.0050

500 tokens

Total Cost

$0.0075

per request

Cost per 1,000 requests: $7.50 |  Cost per 10,000 requests: $75.00

AI Model Pricing Comparison (per 1M tokens)

ModelProviderInput ($/1M)Output ($/1M)Context
GPT-4oOpenAI$2.5$10128K
GPT-4 TurboOpenAI$10$30128K
GPT-3.5 TurboOpenAI$0.5$1.516K
Claude 3.5 SonnetAnthropic$3$15200K
Claude 3 OpusAnthropic$15$75200K
Gemini 1.5 ProGoogle$1.25$51M
Gemini 1.5 FlashGoogle$0.075$0.31M

* Prices are approximate and subject to change. Always verify on official provider pricing pages.

How AI Token Pricing Works

AI language models like GPT-4, Claude, and Gemini charge based on the number of tokens processed — both the text you send (input tokens) and the text the model generates (output tokens). Understanding this pricing model is essential for anyone building AI-powered applications or using AI APIs at scale.

A token is not the same as a word. In English, the average word is about 1.3 tokens. Short common words like "the" or "cat" are typically 1 token each, while longer or less common words may be split into 2–4 tokens. Numbers, punctuation, and special characters also consume tokens.

Output tokens are almost always more expensive than input tokens — often 3–5x more. This is because generating text requires significantly more computation than processing it. For cost optimization, keeping your expected output length short is one of the most effective strategies.

Tips to Reduce AI API Costs

  • →Choose the Right Model: Use GPT-3.5 Turbo or Gemini Flash for simple tasks — they're 10–100x cheaper than premium models with comparable quality for basic use cases.
  • →Compress Your Prompts: Remove unnecessary instructions, examples, and filler text. A 20% shorter prompt means 20% lower input costs at scale.
  • →Set max_tokens Limits: Always specify a maximum output length. Without limits, models may generate far more tokens than needed, inflating costs.
  • →Cache Common Responses: For repeated queries (FAQs, product descriptions), cache the AI response and serve it directly instead of making repeated API calls.
  • →Batch Your Requests: Some providers offer batch processing at discounted rates. OpenAI's Batch API offers 50% cost reduction for non-real-time workloads.

Frequently Asked Questions

A token is the basic unit that AI language models use to process text. Tokens can be whole words, parts of words, punctuation marks, or special characters. On average, 1 token is roughly 4 characters or 0.75 words in English. For example, the word "calculator" is 2 tokens, while "cat" is 1 token.