ML Engineering Tools
LLM Token Count & Cost Estimator
Enter text character count and monthly request volume to estimate token count and API cost across GPT-4, Claude 3, and open-source models.
No data is transmitted — everything runs locallyTool
Example — Representative default scenario — characters 1800 · chars per token 4.
Tokens per request
1,250
5000 chars ÷ 4 chars/token
Cost per request
$0.0375
GPT-4 pricing
Monthly cost
$3,750
100,000 requests
Cost per 1K reqs
$37.50
About this tool
LLM Token Count & Cost Estimator
The LLM Token Count & Cost Estimator computes token count from character length and monthly API cost from request volume across major LLM providers.
• Estimate monthly OpenAI API cost before launch
• Compare GPT-4o vs Claude 3.5 Sonnet cost
• Calculate context window cost for a RAG pipeline
• Model LLM cost at different usage tiers
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FAQ
What does this tool tell you?
The LLM Token Count & Cost Estimator computes token count from character length and monthly API cost from request volume across major LLM providers.
What affects the result most?
~4 chars/token for English prose, ~2-3 chars/token for code, ~1-2 chars/token for whitespace-heavy text. GPT-4o: $5/M input, $15/M output; GPT-4 Turbo: $10/M input, $30/M output. Claude 3.5 Sonnet: $3/M input, $15/M output; Claude 3 Opus: $15/M input, $75/M output.
How should I use the result?
The calculation is deterministic — the same inputs always produce the same output — so the most useful workflow is to vary one input at a time and see which factor moves the result most. That tells you where to focus your attention before committing to a decision.