---
title: "I Ran QWEN 3.6 vs Gemma 4 Locally on M5 Max — The 6X Gap Is Embarrassing"
url: https://daily.dev/posts/i-ran-qwen-3-6-vs-gemma-4-locally-on-m5-max-the-6x-gap-is-embarrassing-ydewka0ds
source_url: https://www.youtube.com/watch?v=fqaE-Hfwwe8
type: video:youtube
source: "Execute Automation"
published: 2026-05-31T07:48:16.386Z
updated: 2026-06-18T02:15:08.136Z
tags: ["gemma", "lm-studio", "local-ai", "qwen"]
reading_time: 15
upvotes: 0
comments: 0
language: en
---

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# I Ran QWEN 3.6 vs Gemma 4 Locally on M5 Max — The 6X Gap Is Embarrassing

**[Execute Automation](https://daily.dev/sources/executeautomation)** · 15 min read · 0 upvotes · 0 comments

## Summary

A hands-on comparison of Qwen 3.6 (35B MoE) vs Gemma 4 (31B) running locally on an Apple M5 Max with 128GB RAM using LM Studio. Tests include SVG image generation and a browser-based snake game. Qwen 3.6 consistently outperforms Gemma 4 in inference speed (~110 tokens/sec vs ~16 tokens/sec), thinking time (under 1 second vs 25-105 seconds), and output quality. Both models are vision-capable, but Qwen 3.6 produced more complete and functional code outputs.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=fqaE-Hfwwe8>

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---

Tags: [#gemma](https://daily.dev/tags/gemma), [#lm-studio](https://daily.dev/tags/lm-studio), [#local-ai](https://daily.dev/tags/local-ai), [#qwen](https://daily.dev/tags/qwen)

[View this post on daily.dev](https://daily.dev/posts/i-ran-qwen-3-6-vs-gemma-4-locally-on-m5-max-the-6x-gap-is-embarrassing-ydewka0ds)
