HARDWARE BENCHMARK & VRAM ENVELOPE โ€ข APPLE SILICON236 GB VRAM โ€ข 890 GB/s

What Models Can Run on Apple Mac Studio M5 Ultra (256GB Unified Memory)?

236 GB VRAM890 GB/s Bandwidth210W TDPMSRP: $5,999Cloud: $1.89/hr on RunPod

Apple Mac Studio M5 Ultra (256GB Unified Memory) provides 236 GB of usable memory with 890 GB/s memory bandwidth at 210W TDP. Massive MoE models (DeepSeek V4.1 Q3/Q4) & 70B FP16 workstation.

โœ… Runs 100% in GPU VRAM (Optimal Headroom)21.93 GB (9%)~33 t/s

Model & Target Hardware

interactive
Agentic Coding, Terminal Workflows & Multi-File Refactoring
Qwen 3.8 27B Instruct on Apple Mac Studio M5 Ultra (256GB Unified Memory)

โœ“ Fits Comfortably in VRAM

โœ“ FITS IN VRAM
Required VRAM
21.93 GB
9% of hardware capacity (236 GB)
Est. Decode Speed
~33 tok/s
Dense model @ 890 GB/s
Available Headroom
+214.07 GB
Safe for OS display & full context
Memory Allocation & Headroom
21.93 GB allocated of 236 GB capacity
9% utilized
Weights: 16.32 GB
KV: (32K): 4.29 GB
Overhead: 1.32 GB
Free Headroom: +214.07 GB
โšก Architecture & Throughput Transparency: Single-user decode speed (~33 tok/s) is memory-bandwidth bound at batch size = 1 on Apple Mac Studio M5 Ultra (256GB Unified Memory) (890 GB/s). Prompt prefill / TTFT (~479 tok/s) is compute-bound and utilizes GPU Tensor cores. Actual latency varies with FlashAttention-2 and runtime engine (Ollama/vLLM/llama.cpp).
OLLAMA_FLASH_ATTENTION=1 OLLAMA_KV_CACHE_TYPE=q8_0 ollama run qwen3.8:27b

Quantization Precision Matrix

32K ctx โ€ข KV: Q8_0
QuantizationWeightsKV CacheTotal VRAMEst. SpeedFit Status
FP1616 bpw54.4 GB4.29 GB61.34 GB (26%)~10 t/sFITS
Q8_08.5 bpw28.83 GB4.29 GB34.88 GB (15%)~19 t/sFITS
Q6_K6.56 bpw22.3 GB4.29 GB28.12 GB (12%)~24 t/sFITS
Q5_K_M5.68 bpw19.31 GB4.29 GB25.03 GB (11%)~28 t/sFITS
Q4_K_M4.8 bpw16.32 GB4.29 GB21.93 GB (9%)~33 t/sFITS
FP44.25 bpw14.42 GB4.29 GB19.96 GB (8%)~37 t/sFITS
IQ3_XS3.3 bpw11.15 GB4.29 GB16.58 GB (7%)~47 t/sFITS

Export Full Architecture & Infrastructure Spec

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All Open-Weights Models Tested on Apple Mac Studio M5 Ultra (256GB Unified Memory) (Q4_K_M @ 32K Context)

Standard Q4_K_M precision with 32K context window and Q8_0 KV cache

12 Models Benchmarked
ModelArchitectureTotal VRAM NeededHeadroomEst. Decode SpeedCompatibilityDetailed Config
Qwen 3.8 27B Instruct
Alibaba Cloud
27.2B Dense21.93 GB(9%)+214.07 GB~33 tok/sโœ“ FITSConfigure CLI โ†’
Qwen 3.6 35B-A3B MoE
Alibaba Cloud
35B MoE24.1 GB(10%)+211.9 GB~259 tok/sโœ“ FITSConfigure CLI โ†’
DeepSeek-V4.1-Flash (552B Engram MoE)
DeepSeek
552B MoE345.59 GB(146%)-109.59 GB0 (OOM)โœ• OOMConfigure CLI โ†’
Meta Muse Spark Open (816B-A42B MoE)
Meta AI
816B MoE512.86 GB(217%)-276.86 GB0 (OOM)โœ• OOMConfigure CLI โ†’
Google Gemma 4 26B MoE
Google
26.4B MoE20.23 GB(9%)+215.77 GB~173 tok/sโœ“ FITSConfigure CLI โ†’
Google Gemma 4 E4B (Edge 4B)
Google
4.1B Dense4.24 GB(2%)+231.76 GB~211 tok/sโœ“ FITSConfigure CLI โ†’
DeepSeek-R1 Distill Qwen 32B
DeepSeek
32.8B Dense25.41 GB(11%)+210.59 GB~28 tok/sโœ“ FITSConfigure CLI โ†’
DeepSeek-R1 Distill Qwen 14B
DeepSeek
14.8B Dense13.16 GB(6%)+222.84 GB~59 tok/sโœ“ FITSConfigure CLI โ†’
Meta Llama 4 Scout (109B-A17B MoE)
Meta AI
109B MoE71.66 GB(30%)+164.34 GB~52 tok/sโœ“ FITSConfigure CLI โ†’
Meta Llama 3.3 70B Instruct
Meta AI
70.6B Dense49.96 GB(21%)+186.04 GB~13 tok/sโœ“ FITSConfigure CLI โ†’
Meta Llama 3.1 8B Instruct
Meta AI
8B Dense7.87 GB(3%)+228.13 GB~107 tok/sโœ“ FITSConfigure CLI โ†’
Microsoft Phi-4 Mini 3.8B
Microsoft
3.8B Dense3.92 GB(2%)+232.08 GB~229 tok/sโœ“ FITSConfigure CLI โ†’