LLM Token Calculator
Never get hit with an unexpected API bill again. Paste your massive data payloads below to instantly estimate token counts and calculate exact input costs for OpenAI, Anthropic, and Google APIs.
1. Input Data Payload
2. Cost Estimation
Why token counting matters
When you integrate AI into your software applications using APIs (Application Programming Interfaces), you are billed on a "pay-as-you-go" structure. You are charged a fraction of a cent for every token you send to the AI, and every token the AI sends back to you. If you are feeding a 50-page PDF document into an AI to summarize it, it is critical to calculate the input tokens beforehand to ensure your software remains profitable and within budget.
The Token Math Explained
A token is not exactly one word. AI models break text down into syllables and common letter groupings. As a universal standard published by OpenAI, you can calculate rough token limits using these rules:
1 Token
≈ 4 Characters
100 Tokens
≈ 75 Words
1 Page of Text
≈ 800 Tokens
Frequently Asked Questions
What exactly is a 'Token' in AI?
AI models do not read text word-by-word like humans do. Instead, they break words down into smaller chunks called 'tokens'. A token can be an entire word, a single character, or a syllable. As a general rule of thumb for English text, 1 token is approximately equal to 4 characters or 0.75 words.
How does this token calculator work?
Because running a full byte-pair encoding (BPE) tokenizer requires massive server resources, this tool uses the industry-standard heuristic (Characters ÷ 4) combined with word-boundary analysis to provide a highly accurate, instant estimation directly in your browser.
Are API costs calculated for Input or Output?
This calculator specifically estimates the 'Input' (Prompt) cost. When you send data to an API, you are billed for the text you send (Input) and the text the AI generates (Output). Input costs are generally much cheaper than Output costs.
Is my proprietary data safe here?
Yes. Token estimation and pricing calculations run locally in your browser via client-side JavaScript. Proprietary codebases, API payloads, and private documents remain strictly in your device's memory and are never transmitted to our servers.