Is it worth getting 128GB MacBook Pro? Will it ever be comparable to today’s frontier models for coding?

Reddit r/LocalLLaMA 07/25/26, 08:56 PM News

macbook-pro local-models coding-assistant ai-pricing hardware developer-experience

Summary

A developer questions whether a high-RAM MacBook Pro for local AI models could match cloud frontier models like Claude for coding, considering long-term costs.

I am a long time iOS app developer. In the last year I have been using Cursor+Claude/others to assist with app development. I am concerned that the current low pricing will disappear eventually. I am pricing out a new laptop with the intention of using local models instead. New MacBook Pros can be configured with 128GB of ram, but obviously the price is high. Will such a machine ever be comparable to what Claude can do today? Even if it is still significantly slower? I am aware that the price of that much ram would buy many many tokens but I plan to use the laptop for several years, so even if the payback is 5 years worth of cloud AI it’s worth it to me.

Original Article

Similar Articles

@Michaelzsguo: So you bought the 128GB MacBook Pro. Now the question is not, “Which local model gets the highest TPS?” It is: which se…

X AI KOLs Timeline

This thread recommends a local AI coding stack for the 128GB MacBook Pro, using Qwen 3.6 model with MLX server and specific configurations for reliable coding assistance.

Localmaxxing (3 minute read)

TLDR AI

The article analyzes the viability of running AI inference locally on a MacBook Pro, comparing a local Qwen 35B model against the cloud-based Claude Opus 4.5. It concludes that local models are 2x faster for routine tasks, making them a practical choice for half of daily workloads despite a slight capability gap.

@remilouf: Following @julien_c’s tweet I bought a MacBook Pro with 128B unified memory, and started running Qwen3.6 as my daily dr…

X AI KOLs Following

The author shares their experience running the Qwen3.6 model on a MacBook Pro with 128GB of unified memory, praising Apple's hardware efficiency for local AI inference.

MacBook Neo Deep Dive: Benchmarks, Wafer Economics, and the 8GB Gamble

Hacker News Top

The article provides an in-depth analysis of the upcoming MacBook Neo, focusing on its A18 Pro chip benchmarks, wafer economics enabling a $599 price point, and the implications of its 8GB RAM limitation.

2x 512gb ram M3 Ultra mac studios

Reddit r/LocalLLaMA

A user shares their $25k hardware setup of two 512GB RAM M3 Ultra Mac Studios for running large language models locally, having tested DeepSeek V3 Q8 and GLM 5.1 Q4 via the exo distributed inference backend, while awaiting Kimi 2.6 MLX optimization.