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Developer builds free client-side LLM token counter for prompt cost estimation

By PulseAugur Editorial · Summary by gemini-2.5-flash-lite from 2 sources

A developer created a free, client-side tool called LLM Token Counter to help users estimate the cost of their LLM prompts. The tool allows users to paste text and see token counts and estimated costs for various models like GPT-4o, GPT-3.5 Turbo, Claude 3 Haiku, and Gemini 1.5 Flash. It utilizes a WASM port of OpenAI's tokenizer for accurate GPT counts and an approximation for other models, ensuring user privacy by running entirely in the browser. AI

Summary written by gemini-2.5-flash-lite from 2 sources. How we write summaries →

IMPACT Helps developers manage and predict costs associated with using various LLM APIs, potentially influencing model choice and application design.

RANK_REASON The cluster describes the creation and release of a client-side utility tool for developers.

Read on dev.to — LLM tag →

COVERAGE [2]

  1. dev.to — LLM tag TIER_1 · Weston G ·

    I built a client-side LLM token counter because I kept guessing at prompt costs

    <p><em>Estimated read time: 4 minutes</em></p> <p>I was building a RAG pipeline last month. Standard stuff — system prompt, some retrieved chunks, user message. Somewhere around the third iteration of tweaking the system prompt I realized I had absolutely no idea what I was spend…

  2. dev.to — LLM tag TIER_1 · Weston G ·

    LLM Token Costs: Why Your Prompt Might Cost 10x More Than You Think

    <h1> LLM Token Costs: Why Your Prompt Might Cost 10x More Than You Think </h1> <p>If you're building with LLM APIs, you've probably wondered: <em>how many tokens is this prompt actually using?</em></p> <p>I built a free tool to answer that: <strong><a href="https://code-two-delta…

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