---
title: "Using local LLMs vs always going to the hosted models"
url: https://daily.dev/posts/using-local-llms-vs-always-going-to-the-hosted-models-3c75zx6m2
source_url: https://www.youtube.com/shorts/ghNB70oJBDQ
type: video:youtube
source: "We Are .NET"
published: 2026-05-29T18:38:52.791Z
updated: 2026-05-29T18:39:08.202Z
tags: ["ai", "llm"]
reading_time: 2
upvotes: 1
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.

# Using local LLMs vs always going to the hosted models

**[We Are .NET](https://daily.dev/sources/wearedotnet)** · 2 min read · 1 upvotes · 0 comments

## Summary

A discussion on the trade-offs between running open-weight LLMs locally versus using hosted frontier models. The key insight is a hybrid approach: use local models (like Gemma) for trivial or planning tasks, and reserve expensive hosted models (Claude Sonnet/Opus, Gemini) for complex, large-scale code generation. The conversation touches on specialized hardware (Apple Silicon, Windows AI PCs) enabling efficient local inference, and the vision of AI coding agents that intelligently route tasks between local and remote models based on complexity and cost.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/shorts/ghNB70oJBDQ>

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---

Tags: [#ai](https://daily.dev/tags/ai), [#llm](https://daily.dev/tags/llm)

[View this post on daily.dev](https://daily.dev/posts/using-local-llms-vs-always-going-to-the-hosted-models-3c75zx6m2)