M5 Pro MacBook Pro 48 GB

The MacBook Pro bin where MoE 35B-A3B fits without tweaks.

48 GB unified at 307 GB/s — 44% more bandwidth than M4 Pro, enough to run Qwen 3.5 35B-A3B MoE at 70–90 tok/s on battery, in a laptop. The honest step-up from the Mac mini M4 Pro 24 GB without going to the $4,499 M5 Max 64 GB.

The decision in five lines

The call: Buy — The MacBook Pro bin where MoE 35B-A3B fits without tweaks.
Best for: Portable pro
Runs well: Qwen3-Coder-30B-A3B (MoE, fits 24GB) · Qwen 3.5 35B-A3B (MoE, fits 24GB) · Gemma 4 31B (256K context)
Watch out: M5 Pro has roughly half the M5 Max's bandwidth (307 vs 614 GB/s). 70B Q4 technically fits but runs bandwidth-bound at 6–10 tok/s. Not a 70B dense machine.
Evidence: Estimated · last verified June 2026

48: GB UNIFIED
307: GB/S BANDWIDTH
14"–16": FORM FACTOR
$2,699: 14" 48GB BASE

What fits at this tier

48 GB unified with macOS 0.67 default factor = ~32 GB effective. Fits 35B-A3B MoE Q4 cleanly (~70–90 tok/s), 27B 6-bit MLX (~18–22 tok/s), 14B Q4 (~30–40 tok/s). 70B dense Q4 fits technically (~40 GB) with the sysctl tweak but bandwidth caps it at ~6–10 tok/s — M5 Max 64 GB or DGX Spark are the honest 70B picks.

CODING

Qwen3-Coder-30B-A3B (MoE, fits 24GB) 3B-active MoE — benchmark champion for local coding at this tier.

CHAT / GENERAL

Qwen 3.5 35B-A3B (MoE, fits 24GB) 3B active MoE — 30B quality at 3B inference speed.

DOCS & RETRIEVAL

Gemma 4 31B (256K context) 31B dense with 256K context; Gemma commercial-permissive terms; Arena top 5.

IMAGE

HiDream-O1-Image (8B, MIT) May 8, 2026 release. Pixel-space (no VAE, no disjoint text encoder) — debuted top-10 on Artificial Analysis T2I Arena. MIT-licensed 8B; one model handles T2I + edit + subject-driven personalization at up to 2,048².

AGENTS

Qwen 3.5 35B-A3B (MoE, fits 24GB) MoE with native tool use; fits 24GB at Q4; Apache 2.0.

VOICE

VoxCPM2 (2B, Apache 2.0) 30 languages, 48 kHz, tokenizer-free diffusion AR; voice design from text. April 2026 release.

The call

Buy it if you're a developer who needs local AI on a laptop that leaves the desk, and 35B-A3B MoE is your target. Amazon has run the 16" 48 GB config at $2,899 — that's the price to wait for.
Skip it if you'll always be at a desk — a Mac Studio M4 Max 64 GB ($3,199) gives you 64 GB + 546 GB/s for the same-ish money, and doesn't lose battery for inference. Also skip if you need 70B dense comfortably; that's the M5 Max 64 GB MBP ($4,499) or DGX Spark ($4,699) tier.

Watchouts

M5 Pro has roughly half the M5 Max's bandwidth (307 vs 614 GB/s). 70B Q4 technically fits but runs bandwidth-bound at 6–10 tok/s. Not a 70B dense machine.
Sustained 35B-A3B on battery will spin the fan and consume battery fast — 30–45 minute sessions are realistic before plug-in.
Ollama 0.21+ MLX backend lights up fully here (48 GB > 32 GB minimum). Expect ~1.6× prefill and ~2× TG gains over the Metal path on larger models.
`sudo sysctl iogpu.wired_limit_mb=40960` is load-bearing for 70B Q4 attempts and for tight-context 35B-A3B runs.

Local vs cloud at this tier

● LOCAL WINS

35B-A3B MoE on battery, in a laptop, silent at idle. Private development loops that don't need the cloud. The best portable local-AI experience in June 2026.

● CLOUD WINS

Frontier reasoning (Opus 4.8, GPT-5.4) and anything beyond 35B-A3B capability. Cloud also wins on sustained all-day battery for non-AI work — inference drains fast.

The 48 GB unified tier is the real MoE-portable unlock. Worth it only if portability is a hard requirement; a Mac Studio + an iPad for travel is often the smarter bundle.

Next step

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