LLM Token Estimator
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Link to open source: https://github.com/OnyekwereTrust/AI-Token-Calculator-API
Link to Live Project: https://llm-tally.lovable.app/
The LLM Token Estimator helps developers, researchers, and teams understand and predict the cost of using large language models (LLMs) before they run their prompts. Tokens are the unit of measurement that providers like OpenAI, Anthropic, and Meta use for pricing, but calculating them manually can be confusing and time-consuming.
This tool makes it easy by letting users input their system prompts, user prompts, tools, and expected output size to instantly see:
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Input and output token counts
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Estimated costs based on the selected model’s pricing
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Context usage percentage (so they don’t hit model limits)
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RAG/embedding costs when using retrieval-based setups
It’s useful for anyone building with LLMs because it helps with budget planning, prompt optimization, and cost transparency. Instead of guessing or being surprised by API bills, teams can forecast costs upfront and make informed decisions about which model to use.
