Can Apple Mac Studio M4 Max 36GB run Llama, Qwen & DeepSeek? 384 models that fit
384 of the 493 models in the Spanvero catalog fit Apple Mac Studio M4 Max 36GB's 36 GB unified memory (at a sensible quant, 16k context). For each: run it locally ($0 compute + electricity), rent an equivalent GPU ($0 markup, as of 2026-07-09), or pay per-token via your own API key (as of 2026-08-17).
Three honest ways to run each model on Apple Mac Studio M4 Max 36GB
Run it locally: $0 in compute — you pay only electricity (~85 W under load on this Mac). Local is real money, never a fake "$0".
Rent an equivalent GPU: from a $0-markup vendor rate (as of 2026-07-09) — you rent on your own account and pay the vendor directly; we never resell compute.
Skip the box: run the same model through your own API key, paying per million tokens (prices as of 2026-08-17).
What fits Apple Mac Studio M4 Max 36GB (36 GB unified memory)
384 of the 493 notable models in the Spanvero catalog fit Apple Mac Studio M4 Max 36GB at a sensible quant (context capped at 16k for the estimate). Most capable first:
Mixtral 8x7B Instruct (Mistral AI, 46.7B) — needs ~34 GB at Q4_K_M: run it locally for $0 compute + ~$0.2605/1M in electricity, rent 4× NVIDIA RTX 3060 12GB from $0.24/hr ($0 markup), or ~$0.24/1M via your own API key (last-known).
NVIDIA Nemotron Labs 3 Puzzle 75B A9B NVFP4 (nvidia, 44.5B) — needs ~33 GB at Q4_K_M: run it locally for $0 compute + ~$0.2507/1M in electricity, rent 4× NVIDIA RTX 3060 12GB from $0.24/hr ($0 markup), or ~$0.46/1M via your own API key (size estimate).
Phi 3.5 MoE instruct (microsoft, 41.9B) — needs ~31 GB at Q4_K_M: run it locally for $0 compute + ~$0.2389/1M in electricity, rent 3× NVIDIA RTX 3060 12GB from $0.18/hr ($0 markup), or ~$0.44/1M via your own API key (size estimate).
Karnak 40B v1.0 (Applied-Innovation-Center, 40.7B) — needs ~29 GB at Q4_K_M: run it locally for $0 compute + ~$0.2334/1M in electricity, rent 3× NVIDIA RTX 3060 12GB from $0.18/hr ($0 markup), or ~$0.43/1M via your own API key (size estimate).
Seed OSS 36B Instruct (ByteDance-Seed, 36.2B) — needs ~27 GB at Q4_K_M: run it locally for $0 compute + ~$0.2125/1M in electricity, rent 3× NVIDIA RTX 3060 12GB from $0.18/hr ($0 markup), or ~$0.39/1M via your own API key (size estimate).
Hermes 4.3 36B (NousResearch, 36.2B) — needs ~27 GB at Q4_K_M: run it locally for $0 compute + ~$0.2125/1M in electricity, rent 3× NVIDIA RTX 3060 12GB from $0.18/hr ($0 markup), or ~$0.39/1M via your own API key (size estimate).
Yi-1.5-34B-Chat (01.AI, 34.4B) — needs ~25 GB at Q4_K_M: run it locally for $0 compute + ~$0.204/1M in electricity, rent 3× NVIDIA RTX 3060 12GB from $0.18/hr ($0 markup), or ~$0.38/1M via your own API key (size estimate).
Laguna XS.2 (poolside, 33.4B) — needs ~24 GB at Q4_K_M: run it locally for $0 compute + ~$0.1992/1M in electricity, rent 3× NVIDIA RTX 3060 12GB from $0.18/hr ($0 markup), or ~$0.15/1M via your own API key (last-known).
Laguna XS 2.1 NVFP4 (poolside, 33.4B) — needs ~24 GB at Q4_K_M: run it locally for $0 compute + ~$0.1992/1M in electricity, rent 3× NVIDIA RTX 3060 12GB from $0.18/hr ($0 markup), or ~$0.37/1M via your own API key (size estimate).
Laguna XS 2.1 (poolside, 33.4B) — needs ~24 GB at Q4_K_M: run it locally for $0 compute + ~$0.1992/1M in electricity, rent 3× NVIDIA RTX 3060 12GB from $0.18/hr ($0 markup), or ~$0.09/1M via your own API key.
Qwen3-32B (Alibaba, 32.8B) — needs ~25 GB at Q4_K_M: run it locally for $0 compute + ~$0.1964/1M in electricity, rent 3× NVIDIA RTX 3060 12GB from $0.18/hr ($0 markup), or ~$0.18/1M via your own API key.
Qwen2.5 32B Instruct (Qwen, 32.8B) — needs ~27 GB at Q4_K_M: run it locally for $0 compute + ~$0.1964/1M in electricity, rent 3× NVIDIA RTX 3060 12GB from $0.18/hr ($0 markup), or ~$0.36/1M via your own API key (size estimate).
cogito v1 preview qwen 32B (deepcogito, 32.8B) — needs ~27 GB at Q4_K_M: run it locally for $0 compute + ~$0.1964/1M in electricity, rent 3× NVIDIA RTX 3060 12GB from $0.18/hr ($0 markup), or ~$0.36/1M via your own API key (size estimate).
Qwen2.5 32B (Qwen, 32.8B) — needs ~27 GB at Q4_K_M: run it locally for $0 compute + ~$0.1964/1M in electricity, rent 3× NVIDIA RTX 3060 12GB from $0.18/hr ($0 markup), or ~$0.36/1M via your own API key (size estimate).
QwQ 32B (Qwen, 32.8B) — needs ~27 GB at Q4_K_M: run it locally for $0 compute + ~$0.1964/1M in electricity, rent 3× NVIDIA RTX 3060 12GB from $0.18/hr ($0 markup), or ~$0.36/1M via your own API key (size estimate).
DeepSeek-R1-Distill-Qwen-32B (DeepSeek, 32.5B) — needs ~27 GB at Q4_K_M: run it locally for $0 compute + ~$0.1949/1M in electricity, rent 3× NVIDIA RTX 3060 12GB from $0.18/hr ($0 markup), or ~$0.36/1M via your own API key (size estimate).
granite 4.0 h small (ibm-granite, 32.2B) — needs ~25 GB at Q4_K_M: run it locally for $0 compute + ~$0.1935/1M in electricity, rent 3× NVIDIA RTX 3060 12GB from $0.18/hr ($0 markup), or ~$0.36/1M via your own API key (size estimate).
Olmo 3 1125 32B (allenai, 32.2B) — needs ~26 GB at Q4_K_M: run it locally for $0 compute + ~$0.1935/1M in electricity, rent 3× NVIDIA RTX 3060 12GB from $0.18/hr ($0 markup), or ~$0.36/1M via your own API key (size estimate).
sarvam 30b (sarvamai, 32.2B) — needs ~22 GB at Q4_K_M: run it locally for $0 compute + ~$0.1935/1M in electricity, rent 3× NVIDIA RTX 3060 12GB from $0.18/hr ($0 markup), or ~$0.36/1M via your own API key (size estimate).
OTel 2.0 LLM 31B IT (farbodtavakkoli, 32.1B) — needs ~33 GB at Q4_K_M: run it locally for $0 compute + ~$0.193/1M in electricity, rent 4× NVIDIA RTX 3060 12GB from $0.24/hr ($0 markup), or ~$0.36/1M via your own API key (size estimate).
The honest cost of owning Apple Mac Studio M4 Max 36GB
Street price $2,499.00 (as of 2026-07-09; Apple US store, verified 2026-07-09 — $2,499 base Mac Studio M4 Max 14-core/32-core, 36GB/512GB after the 2026-06-25 DRAM-shortage hike ($1,999 -> $2,499; MacRumors + CNN + apple.com buy-page config); 85W = measured peak wall draw under sustained Q4 inference (CraftRigs M4 Max LLM test, 2026)) — amortized over 3 years that's ~$2.2822/day whether or not you're generating.
Electricity: ~85 W under sustained inference at $0.1883/kWh (EIA Electric Power Monthly Table 5.6.A — U.S. residential average, Apr 2026, as of 2026-07-02) — the per-1M-token figures above already include this at each model's speed.
Straight talk: for the small models a 36 GB unified memory box runs, hosted APIs are often cheaper per token. Own local for privacy, offline use, and unlimited runs — not to save money on tokens.
Too big for Apple Mac Studio M4 Max 36GB — rent or use an API instead
These need more than the 36 GB unified memory on this Mac. Closest first — you can still run them on a rented GPU ($0 markup) or via your own API key:
Kimi Linear 48B A3B Instruct (moonshotai, 49.1B) — needs ~36 GB; rent 4× NVIDIA RTX 3060 12GB from $0.24/hr, or ~$0.49/1M via your own API key (size estimate).
Nemotron 3 Nano 30B A3B (unsloth, 31.6B) — needs ~37 GB; rent 4× NVIDIA RTX 3060 12GB from $0.24/hr, or ~$0.35/1M via your own API key (size estimate).
NVIDIA Nemotron 3 Nano 30B A3B Base BF16 (nvidia, 31.6B) — needs ~37 GB; rent 4× NVIDIA RTX 3060 12GB from $0.24/hr, or ~$0.35/1M via your own API key (size estimate).
gemma 4 31B it NVFP4 turbo (LilaRest, 32.5B) — needs ~38 GB; rent 4× NVIDIA RTX 3060 12GB from $0.24/hr, or ~$0.36/1M via your own API key (size estimate).
HyperCLOVAX SEED Think 32B (naver-hyperclovax, 33.3B) — needs ~39 GB; rent 4× NVIDIA RTX 3060 12GB from $0.24/hr, or ~$0.37/1M via your own API key (size estimate).
automotive (flywheel-ai, 34.7B) — needs ~40 GB; rent 4× NVIDIA RTX 3060 12GB from $0.24/hr, or ~$0.38/1M via your own API key (size estimate).
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