Can I Run Qwen3-Coder on Mac Studio (M4 Max, 64 GB)?
Written by Jakub Rusinowski · Last updated September 29, 2026
Yes — comfortably
Yes, comfortably — Qwen3-Coder 30B-A3B (MoE) at Q8_0 needs about 34 GB of the 48 GB usable on Mac Studio (M4 Max, 64 GB), leaving ~14 GB spare and running at ~62.3 tok/s (estimated), with room for about 131,072 tokens of context.
Confidence: high · Recommended quantization: Q8_0 · Estimated speed: ~62.3 tok/s
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Mac Studio (M4 Max, 64 GB) — what it gives a model
| Usable memory for models | 48 GB |
| Memory bandwidth | 546 GB/s |
| Form factor | Desktop |
| Operating system | macOS |
| Memory upgradeable | No — soldered |
Qwen3-Coder on Mac Studio (M4 Max, 64 GB): memory by quantization
| Quant | Memory needed | Fits 48 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 62.6 GB | ✗ No | — | — | 61 GB |
| Q8_0 | 34 GB | ✓ Yes | 128K | ~62.3 tok/s | 32.4 GB |
| Q6_K | 26.6 GB | ✓ Yes | 128K | ~74.7 tok/s | 25 GB |
| Q5_K_M | 23.2 GB | ✓ Yes | 128K | ~82.2 tok/s | 21.6 GB |
| Q4_K_M | 20 GB | ✓ Yes | 256K | ~90.9 tok/s | 18.4 GB |
| Q3_K_M | 14.6 GB | ✓ Yes | 256K | ~110.5 tok/s | 13 GB |
| Q2_K | 11.6 GB | ✓ Yes | 256K | ~125.5 tok/s | 10 GB |
Which Qwen3-Coder sizes fit
| Variant | Needs at Q4_K_M | Fits? | Est. speed |
|---|---|---|---|
| Qwen3-Coder 480B-A35B (MoE) | 291.6 GB | ✗ Too large | — |
| Qwen3-Coder-Next (80B-A3B MoE) | 51.6 GB | ✗ Too large | — |
| Qwen3-Coder 30B-A3B (MoE) | 20 GB | ✓ Fits | ~90.9 tok/s |
| Qwen3-Coder 8B | 6.8 GB | ✓ Fits | ~47.5 tok/s |
What to watch out for
- 2 larger variants of Qwen3-Coder do not fit and would need CPU offload or different hardware.
- Memory on this machine is not upgradeable, so the configuration you buy is the ceiling for every model you will ever run on it.
Mac Studio M4 Max 64 GB limitations
- Memory is soldered; the configuration chosen at purchase is permanent.
Recommended setup
Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput
How these numbers are calculated
- Memory need = quantized weights + KV cache at 8,192 tokens (f16) + 0.8 GB runtime overhead.
- 64 GB unified memory at 546 GB/s, shared between CPU and GPU.
- macOS reserves a share of unified memory for the system, so not all of it is available to a model.
- Throughput is a memory-bandwidth roofline estimate, not a measurement. It is labelled "estimated" everywhere it appears.
- KV cache is computed from this model's published attention configuration.
FAQ
Can I run Qwen3-Coder on Mac Studio (M4 Max, 64 GB)?
Yes, comfortably — Qwen3-Coder 30B-A3B (MoE) at Q8_0 needs about 34 GB of the 48 GB usable on Mac Studio (M4 Max, 64 GB), leaving ~14 GB spare and running at ~62.3 tok/s (estimated), with room for about 131,072 tokens of context.
Which quantization of Qwen3-Coder should I use on Mac Studio (M4 Max, 64 GB)?
Q8_0 — it needs about 34 GB of the 48 GB available, downloads as roughly 32.4 GB, and runs at an estimated 62.3 tokens/sec with up to 128K of context.
What limits Qwen3-Coder on Mac Studio (M4 Max, 64 GB)?
Nothing binding — the model fits with headroom and generates at a usable speed on this hardware.
Which runtime should I use?
Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput
Other Computers
Other Models on Mac Studio (M4 Max, 64 GB)
- SmolLM2 on Mac Studio (M4 Max, 64 GB)
- SmolLM3 on Mac Studio (M4 Max, 64 GB)
- StarCoder 2 on Mac Studio (M4 Max, 64 GB)
- Aya 3B (Tiny Aya) on Mac Studio (M4 Max, 64 GB)
- VibeThinker on Mac Studio (M4 Max, 64 GB)
Qwen3-Coder on GPUs
- Qwen3-Coder on NVIDIA GeForce RTX 5070
- Qwen3-Coder on NVIDIA GeForce RTX 5060 Ti 8GB
- Qwen3-Coder on NVIDIA GeForce RTX 5060
- Qwen3-Coder on NVIDIA GeForce RTX 4070 Ti
What This Model Is Good At
Model & Tools
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