What size LLM fits on a gaming laptop?

An 8 GB mobile GPU runs 7B–8B models at Q4; a 12 GB GPU runs 14B; a 16 GB RTX 5080/5090 laptop handles up to ~24B-class models. Windows laptops cap at 16–24 GB of VRAM.

Is a MacBook better than a gaming laptop for local AI?

Often, yes. A MacBook's unified memory can be 36–128 GB, so a 64 GB MacBook Pro can hold models no laptop Nvidia GPU can fit. It is slower per token but fits far larger models silently and efficiently.

Will running an LLM drain my laptop battery?

Yes — sustained inference is power-hungry on a discrete GPU and will heat up and drain a gaming laptop quickly. Apple Silicon is far more efficient for the same task.

Can I Run a Local LLM on a Laptop? A VRAM Reality Check (2026)

Short answer: yes, and more than you'd think — but a laptop's VRAM ceiling is real and arrives fast. The trick is matching the model to your machine before you buy, not after. Here's the honest reality check.

What fits on a Windows / gaming laptop

Mobile GPUs carry less VRAM than their desktop namesakes, and that VRAM is the wall. A laptop "RTX 5070" is not a desktop 5070. Here's what each tier realistically runs at Q4:

Laptop GPU	VRAM	Comfortable model
RTX 5060 Laptop	8 GB	7B–8B (Llama 3.1 8B, Qwen 3 8B)
RTX 5070 Laptop	12 GB	14B (DeepSeek-R1 14B, Phi-4)
RTX 5080 / 5090 Laptop	16 GB	Up to ~24B at Q4

The catch Windows laptops effectively cap at 16–24 GB of VRAM. That's a hard ceiling: a 32B model gets tight and a 70B simply won't fit on the GPU. For bigger models on the go, the conversation moves to Apple.

Why a MacBook changes the math

Apple Silicon uses unified memory — the CPU and GPU share one big pool. A 64 GB MacBook Pro can devote most of that to a model, so it fits things a 16 GB laptop GPU can't dream of (a 70B at Q4, for instance). It's slower per token than a fast Nvidia GPU, but "slower and fits" beats "fast and won't load." For local AI on a laptop, a high-memory MacBook is often the smarter buy.

Two warnings before you buy

First, battery and heat: sustained inference pins a discrete GPU, so a gaming laptop runs hot and drains fast unplugged. Apple Silicon sips power by comparison. Second, don't trust the model name — always check the actual VRAM (or unified memory) of the exact configuration, because that single number decides what you can run.

Match a model to your laptop

Pick "Laptop" or "Apple Silicon," choose a model, and the calculator tells you whether it fits in your VRAM or unified memory — before you spend a cent.

Open the Local AI Calculator →

FAQ

Can a laptop run a 70B model?

Not on a Windows laptop GPU (they cap at 16–24 GB). A 64 GB+ Apple Silicon MacBook can, using unified memory, at a modest speed.

How much unified memory should a MacBook have for AI?

24 GB handles 8B–14B comfortably; 36–48 GB opens up 32B; 64 GB+ is where 70B becomes practical.

Is an external GPU (eGPU) worth it?

Rarely in 2026 — Thunderbolt bandwidth and driver friction make it a fiddly path. A desktop or a high-memory Mac is usually better value.

We may partner with companies or groups to affiliate hardware products based on user needs, earning a commission from qualifying purchases. VRAM figures are reproducible estimates and vary by runtime and quant format. Data current as of June 2026.