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Mac Studio M4 Max 128GB Price & Used Prices: Which Local LLMs Can It Run?

The Mac Studio M4 Max 128GB (Apple, 2025) runs the 176B Qwen3.8 Flash Next at 4-bit at about 71 tokens/s. With long documents, the first word is slow.

eBay

Mac Studio M4 Max 128GB price history

Current$5,8000.00%
eBay
Price updated
$7,334$6,741$6,147$5,553$4,960
Low $5,299High $6,499
Sep 8Sep 29Oct 21

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Full Mac Studio M4 Max 128GB specifications

  • Memory128 GB · LPDDR5X-8533 · unified memory
  • Bandwidth546 GB/s
Chip
Apple M4 Max
CPU
16-core
GPU
40-core
Storage
512 GB / 1 TB / 2 TB / 4 TB / 8 TB
Ecosystem
Metal
Power
480 W
Weight
2.74 kg
Model identifier
Mac16,9
Type
Unified memory
Launch date
Mar 12, 2025

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What LLMs can a single Mac Studio M4 Max 128GB run?

One M4 Max 128GB is best with Qwen3.8 Flash Next at 4-bit; 300B-class MoE fits only at 2-bit. Above about 96GB, raise the macOS GPU memory limit.

ModelSizeRuns?Speed t/sMax context
Gemma 4 31B30.7B18.3 GBRuns21.3256K
Qwen3.6 35B A3B36B (3B active)22.1 GBRuns107.5256K
Qwen3.8 Flash Next176B (6B active)111.3 GBRuns71.4256K
DeepSeek V4 Flash284B (13B active)155.1 GBToo big——
Hy3295B (21B active)182.2 GBToo big——
GLM 5.3 Flash320B (18B active)199.7 GBToo big——

RunsFits fully in VRAM; speed is estimated from VRAM bandwidth.

Too bigWon’t fit on one card at this quantization, even with RAM offload.

Full calculation rules are on the Methodology page.

Who it suits

Good fit

  1. You mainly run 30B-class MoE models like Qwen3.6 35B A3B

    About 108 tokens/s at 4-bit, with the full 256K of context

  2. You want to run Qwen3.8 Flash Next on one machine

    At 4-bit (111.3 GB) it does about 71 tokens/s, once you raise the GPU memory limit

  3. You want a local model server that stays on year-round

    The system's maximum continuous power is 480W, and unlike a laptop, it isn't held back by an adapter's power rating

Not a good fit

  1. You often do RAG or feed it long documents

    Prompt processing is slow, under a third of the DGX Spark's in community tests

  2. You want DeepSeek V4 Flash or GLM 5.3 Flash at 4-bit

    They need 155 to 200 GB, so you have to drop to 2-bit

  3. You depend on vLLM, SGLang or CUDA-based fine-tuning tools

    On the Mac, it's mainly MLX and llama.cpp

Before you buy

  1. Only the 40-core GPU version has 128GB

    The M4 Max comes with a 32-core or 40-core GPU, and 128GB is only available with the 40-core GPU version, which has 546 GB/s of bandwidth. The 32-core version has only 410 GB/s and generates about 25% slower. Used listings often say just “M4 Max”, so check the GPU core count and memory in System Information before buying.

  2. Raise the GPU memory limit

    By default, macOS lets the GPU use only about 96 GB, so models over 100 GB won't fit if you just run them. Raise the limit in Terminal with a command like sudo sysctl iogpu.wired_limit_mb=122880; on a 128GB machine, you generally leave 8 to 16 GB for the system. The setting resets to default after a reboot, so you need to set it again.

  3. Two routes: MLX and GGUF

    There are two main engines for running models on a Mac: llama.cpp (which reads GGUF files) and Apple's MLX. LM Studio includes both and lets you switch per model. Ollama also added an MLX engine on Apple silicon starting with version 0.19 (March 2026) and has since extended it to more models; models that don't use MLX still run on llama.cpp.

  4. This generation is discontinued

    Since August 2026, the Mac Studio's configurations have switched to the M5 Max and M5 Ultra, and the M4 Max version is now mainly available used or as remaining stock. The new model also tops out at 128GB but processes prompts much faster; see the comparison below.

Compared with similar machines

Mac Studio M4 Max 128GB vs Mac Studio M5 Max 128GB, DGX Spark 128GB, and Ryzen AI Max+ 395 128GB: price, memory, bandwidth, compute and local LLM speed compared.

SpecMac Studio M4 Max 128GBMac Studio M5 Max 128GBDGX Spark 128GBRyzen AI Max+ 395 128GB
Memory
128 GB
128 GBSame
128 GBSame
128 GBSame
Bandwidth
546 GB/s
614 GB/s12% higher
273 GB/s50% lower
256 GB/s53% lower
BF16 / FP16 compute
—
—
125 TFLOPS
59 TFLOPS
INT8 compute
—
—
250 TOPS
59 TOPS
Qwen3.8 27B speed (2-bit)
39.3 t/s
43.9 t/s12% faster
20.2 t/s49% slower
19 t/s52% slower
Largest dense model (4-bit)
222B
222BSame
222BSame
222BSame
Power
480 W
480 WSame
240 W50% lower
120 W75% lower
Released
2025-03
2026-08
2025-10
2025-03
eBay median

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Other markets

Amazon.jp · Japan
N/A
No listings
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Xianyu · Mainland China
$5,201
5 listings
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