COMPARISON · 2026-09-22.local-ai-v1
Rent a Mac for local AI
Private local inference on Apple Silicon — Ollama, MLX, Core ML — without buying a high-memory Mac. This page is separate from the main directory table: a hardware shortlist from live dedicated offers, plus a dated model ladder and buy/API reference anchors. Latest catalog evidence Sep 24, 2026.
This is not a CUDA GPU cloud and not ML-certified hosting. We shortlist dedicated Macs by published chip, unified memory, and modeled rent. We do not claim tokens/s or preinstalled AI stacks.
Five models people run on M4/M5 Macs
Editorial ladder for 2026 Mac-local use (quantized Q4 / MLX 4-bit class), not lifetime Ollama download leaders. Refresh when community defaults shift.
Qwen3.5 9B
Entry all-rounder · qwen3.5:9b
~16 GB unified memory. Common first useful local chat model on base M4 Macs (Q4 / MLX 4-bit class).
Gemma 4 12B
Everyday 24 GB step-up · gemma4:12b
~24 GB unified memory. Multimodal / tools-friendly step up without filling a 24 GB machine.
Qwen3.6 35B-A3B
Default serious Mac AI (MoE) · qwen3.6:35b
~32–48 GB unified memory. 2026 Mac-local default for quality + speed; MoE keeps active params low while weights need RAM.
Qwen3.6 27B
Coding / agent dense · qwen3.6:27b
~32–64 GB unified memory. Dense coding-leaning workhorse people pull alongside the MoE default.
Gemma 4 26B
Upper-tier multimodal · gemma4:26b
~48–128 GB unified memory. Higher-quality Gemma 4 tier when renting 48 GB+; 31B dense needs still more headroom.
Top value dedicated cloud Macs
Live shortlist for 720 continuous hours (one month at 30-day calendar). Screen: dedicated offers with enough memory for local models (32 GB+, or 16 GB+ on Pro/Max/Ultra). One offering per provider, ranked by value score then modeled bill. 22 listings matched the screen.
| Provider / offering | Chip · memory | Modeled rent | Min commitment | Model ladder fit |
|---|---|---|---|---|
| Mac Mini Vault — M4 Pro 1TBScore 56/100Source · Sep 24, 2026 | M4 Pro 64 GB | Est. $274.99 / 720 hours | See listing | Fits model ladder through Gemma 4 26B |
| MacStadium — S2.M Mac StudioScore 55/100Source · Sep 24, 2026 | M2 Ultra 64 GB | Est. $369 / 720 hours | See listing | Fits model ladder through Gemma 4 26B |
| Virtualized.gg — Mac Studio M4 Max 36GBScore 50/100Source · Sep 24, 2026 | M4 Max 36 GB | Est. $299.99 / 720 hours | See listing | Fits model ladder through Qwen3.6 27B |
| AWS EC2 Mac — mac-m4pro.metalScore 20/100Source · Sep 24, 2026 | M4 Pro 48 GB | Est. $1,418.4 / 720 hours | 24-hour minimum | Fits model ladder through Gemma 4 26B |
Open dedicated directory · 32 GB+ filter · Markdown mirror · Query via MCP
Buy a Mac (dated Apple list anchors)
Not live Apple Store availability. Manual US list-price anchors for break-even thinking — verify configure-to-order options on Apple before buying.
- Mac mini M4
~16 GB · $599 list · observed 2026-09-22
US list for a base configuration; configure-to-order memory/storage costs more. Tax and Apple financing excluded.
- Mac mini M4 Pro (48 GB class)
~48 GB · $1,999 list · observed 2026-09-22
Editorial US configure price band for ~48 GB unified memory; verify current Apple Store options for your region.
- Mac Studio (128 GB Ultra class)
~128 GB · $3,999 list · observed 2026-09-22
Order-of-magnitude US list for a high-memory Studio-class machine; exact SKU and chip generation change. Confirm on Apple.
When rent, buy, or API wins
- Rent a dedicated Mac when you want always-on private weights, try high-RAM silicon before CapEx, or need a shared team box without a desk Mac.
- Buy from Apple when the machine is full-time, multi-year, and often offline — rent rarely beats ownership after many months of continuous use.
- Use a hosted API for bursty chat, no private-model requirement, and no Apple-native stack (Core ML / Metal). API list rates below are orientation only.
API rate orientation
Public list prices for a rough sense of cloud chat cost — not a per-model savings table. Token volume, caching, and batch tiers dominate real bills.
- OpenAI GPT-4o-class (public list)
~$2.5 input / $10 output per 1M tokens · observed 2026-09-22
Blended mid-tier chat API orientation. Verify current OpenAI pricing; tiers and discounts change.
- Anthropic Claude Sonnet-class (public list)
~$3 input / $15 output per 1M tokens · observed 2026-09-22
Sonnet-class list orientation only. Confirm live Anthropic rates and regions.
Watch-outs
- Brand names with “AI” are not evidence of MLX, Ollama, or GPU passthrough.
- Virtualized Macs may not expose full Metal / Neural Engine behavior — prefer dedicated when local inference is the job.
- Billing minimums (hours or months) often dominate a short experiment; read the commitment column.
- Unified memory guidance assumes quantized weights plus OS and context headroom — long context still blows past the band.
- This site does not convert currencies or invent tokens/s.
Dedicated Macs directory · Dedicated vs VM billing · Value methodology