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Author trains own LLM from scratch, finds costs prohibitive for most use cases

A developer detailed the true costs of training a custom Large Language Model (LLM) from scratch in 2025, contrasting it with a popular tutorial. While training a small 10M parameter model for educational purposes is inexpensive at $0.34, scaling to a 1B parameter model requires significant resources. Such a scaled model would take approximately 694 hours on an RTX 4090, costing around $305, and this estimate doesn't account for potential interruptions. AI

IMPACT Training LLMs from scratch is prohibitively expensive for most, reinforcing the value of existing foundational models for practical applications.

RANK_REASON Developer's personal experience and cost analysis of training an LLM from scratch, presented as a blog post.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Author trains own LLM from scratch, finds costs prohibitive for most use cases

COVERAGE [2]

  1. dev.to — LLM tag TIER_1 English(EN) · Juan Torchia ·

    I Trained My Own LLM from Scratch in 2025: What That Viral HN Tutorial Doesn't Tell You About the Real Cost

    <h1> I Trained My Own LLM from Scratch in 2025: What That Viral HN Tutorial Doesn't Tell You About the Real Cost </h1> <p>I was scrolling HN on a Tuesday night when I saw the post: <em>"Train Your Own LLM from Scratch"</em>, 241 points, 87 comments, and an energy in the thread I …

  2. dev.to — LLM tag TIER_1 Español(ES) · Juan Torchia ·

    I Trained My Own LLM From Scratch in 2025: What HN's Viral Tutorial Doesn't Tell You About the Real Cost

    <h1> Entrené mi propio LLM desde cero en 2025: lo que el tutorial viral de HN no te dice sobre el costo real </h1> <p>Estaba revisando HN un martes a la noche cuando vi el post: <em>"Train Your Own LLM from Scratch"</em>, 241 puntos, 87 comentarios, y una energía en el hilo que r…