This article explains how to accurately calculate token usage for large language models before sending requests, which is crucial for managing costs. It details three methods using `tiktoken`, `anthropic-tokenizer`, and the Gemini SDK, along with formulas for estimating costs in rubles. The piece highlights that token density varies significantly between languages, with Russian being less dense than English, making Russian prompts more expensive. AI
IMPACT Provides practical methods for developers to estimate and control LLM API costs, crucial for optimizing operational expenses.
RANK_REASON The article details technical methods and formulas for calculating LLM token usage, which is a form of research into optimizing LLM operations. [lever_c_demoted from research: ic=1 ai=1.0]
Read on dev.to — Anthropic tag →
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