---
title: "Tokens Are Not What You Think"
url: https://daily.dev/posts/tokens-are-not-what-you-think-ovptltml4
source_url: https://www.youtube.com/watch?v=08tL8ekwwM0
type: video:youtube
source: "ByteMonk"
published: 2026-06-05T03:51:27.588Z
updated: 2026-06-05T03:51:47.198Z
tags: ["llm", "nlp", "prompt-engineering"]
reading_time: 18
upvotes: 0
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Tokens Are Not What You Think

**[ByteMonk](https://daily.dev/sources/bytemonk)** · 18 min read · 0 upvotes · 0 comments

## Summary

A deep dive into how LLM tokenization actually works and why it matters for cost and latency. Covers what tokens are (vs words/characters), how byte-pair encoding determines token boundaries, why UUIDs and code are token-expensive, and the full inference pipeline (prefill vs decode). Explains why output tokens cost 3-5x more than input tokens, and presents four cost-reduction levers: trimming prompts, prefix caching, model tiering, and shopping inference providers. Includes a live demo using OpenRouter to compare token counts and costs across Claude, GPT-4o, DeepSeek, and Llama.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=08tL8ekwwM0>

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---

Tags: [#llm](https://daily.dev/tags/llm), [#nlp](https://daily.dev/tags/nlp), [#prompt-engineering](https://daily.dev/tags/prompt-engineering)

[View this post on daily.dev](https://daily.dev/posts/tokens-are-not-what-you-think-ovptltml4)
