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AI Token & API Cost Estimator

Estimate API costs for GPT-4, Claude 3, and Gemini. Calculate token usage based on text length and compare pricing models for your AI projects.

Est. Tokens: 0

Chars: 0

Average summary: 150-300 tokens. Detailed article: 800-2000 tokens.

Estimated Cost / Request

$ 0.0000

For 1,000 Users

$0.00

For 1M Users

$0.00

Cost Breakdown

Input Tokens $0.0000
Output Tokens $0.0000

What is the AI Token & API Cost Estimator?

The AI Token & API Cost Estimator is a specialized utility for developers, product managers, and startups building on top of Large Language Models (LLMs). As AI providers like OpenAI, Anthropic, and Google adopt complex usage-based pricing with differing rates for input and output, calculating the real ROI of an AI feature can become a spreadsheet nightmare.

This tool provides a transparent, side-by-side comparison of the most popular models. By analyzing your actual prompts and expected completion lengths, it gives you an immediate breakdown of token usage and API costs, allowing you to plan your project's budget with precision before writing a single line of code.

How to Estimate Your LLM Expenses

1

Choose Your Foundation

Select a model from the list to load verified pricing for GPT-4o, Claude 3, or Gemini 1.5.

2

Analyze Real Prompts

Paste your prompt. The tool uses a standard 4 characters per token heuristic to estimate the input size accurately.

3

Set Completion Length

Define how many tokens the AI will likely generate. Summaries are usually short, while analysis or code can be quite large.

4

Scale Your Projection

Look at the total cost per user and the cost for 1 million requests to understand your burn rate at scale.

Input vs. Output Tokens

Most modern AI APIs charge significantly more for Output Tokens (the text generated by the model) than for Input Tokens (your prompt and context). This is because generation is computationally more expensive than processing. For example, GPT-4o currently charges 3x more for completion than for prompts. This calculator ensures you account for this imbalance to prevent unexpected billing surprises.

Frequently Asked Questions

How are tokens calculated?

Tokens are the basic units of text processed by LLMs. As a rule of thumb, 1000 tokens is approximately 750 words. Our tool uses standard tokenization heuristics to provide an accurate estimate for most English text.

Which AI models are supported?

We support current models from OpenAI (GPT-4, GPT-3.5), Anthropic (Claude 3 Opus/Sonnet/Haiku), Google (Gemini Pro/Flash), and common Open Source models via providers like Groq or Anyscale.

Does the calculator account for input and output pricing?

Yes. Most providers charge different rates for input (prompt) and output (completion) tokens. Our calculator allows you to specify both to get a precise total cost estimate.

Is this tool updated with the latest pricing?

We manually update model pricing regularly. However, because providers change rates frequently, we recommend checking official documentation for the most critical financial planning.

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