Is hosting an SLM cheaper than using APIs with 20$ cost per user?

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s6r8ro/why_the_pricing_is_so_uneven_like_for_very_small/"> <img alt="Why the pricing is so uneven? like for

<!-- SC_OFF --><div class="md"><p>Been noticing that once you use LLMs for real dev work, the cost conversation gets messy fast. It is not just raw API spend. It is retries, long

<!-- SC_OFF --><div class="md"><p>Just a theoretical question --</p> <p>say you have access to the implementation, including all the weights, of a frontier model like GPT 5.5 or

&#32; submitted by &#32; <a href="https://www.reddit.com/user/mpuchala"> /u/mpuchala </a> <br /> <span><a

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1t47qbw/deepseek_v4_pro_matches_gpt52_on_foodtruck_bench/"> <img alt="DeepSeek V4 Pro matches GPT-5.2 on

<!-- SC_OFF --><div class="md"><p>I recently came across platforms like Yingtu that are offering access to “Nano Banana Pro / Gemini image models” at around $0.02–$0.05 per image,

<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>I have Azure H100 quota (NC40ads_H100_v5 - 80GB HBM3) across a couple of regions that I'm not fully utilizing. Rather than let it sit idle,