OpenAI uses 10 X the tokens for the same prompt. why?

<!-- SC_OFF --><div class="md"><p>I need to create an analysis of how many tokens it takes for various type of agents - single to multi agent, simple to complex ones. Is there any

<!-- SC_OFF --><div class="md"><p>I often hear FANG employees discussing LLM budgets and token usage.</p> <p>So, a token is like a payment, right? Why don't they just say

<!-- SC_OFF --><div class="md"><p>When chat gpt was first becoming popular I remember I tried it and could use it for like, days, and no limit was ever hit. I tried again recently

<p>GPT-5.4 shipped on March 5. Seven weeks later, on April 23, 2026, OpenAI released GPT-5.5 — and the pace alone tells you something about where this race is headed. This isn't

<!-- SC_OFF --><div class="md"><p>Ok I run a a few SaaS platforms and My GPT Mini 40 (or whatever its called) ran over and the cap was set at a certain limit.</p> <p>Well the Ai

<!-- SC_OFF --><div class="md"><p><a href="https://youtu.be/-0HRzXk8vlk?si=mLADk5b_dT9yxNiv">https://youtu.be/-0HRzXk8vlk?si=mLADk5b_dT9yxNiv</a></p> </div><!-- SC_ON --> &#32;

<!-- SC_OFF --><div class="md"><p>I think they're saying that because they silently nerfed token usage limits on the subscription plans by 5x-10x less tokens, I have two Plus

<!-- SC_OFF --><div class="md"><p>We're obsessed with raw tokens per second. Every hardware post leads with it. Every quantization comparison is ranked by it. It's the one number