MB Pro M5, 24GB/32GB difference?

Reddit r/LocalLLaMA / 4/17/2026

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The post discusses whether upgrading a MacBook Pro M5 from 24GB RAM to 32GB would meaningfully improve local LLM use for a coding-assistant workflow in VS Code GitHub Copilot expansion.
The user tested Gemma 4 26B via Ollama with a 16k context window and found performance acceptable, but memory usage is very high and memory pressure frequently reaches yellow.
The core question is whether the 24GB vs 32GB difference will reduce memory pressure and improve stability/performance for running these large models locally.
The situation highlights practical capacity planning for local LLMs, where context length and model size can drive memory demands beyond expectations.

Hi, I got new MB Pro 24GB/1TB. I've test Gemma 4 26B with ollama, 16k context. I am using it for coding assistant via VS code github copilot expansion.

It works better than I expect, but it consume most of my memory and memory pressure always goes to yellow.

Should I return 24GB and get 32GB for this combination? Or there is no real difference between this memory size?

submitted by /u/dit6118
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