Can I Run Qwen3-Coder on MacBook Pro 16" (M4 Max, 48 GB)?
Written by Jakub Rusinowski · Last updated September 29, 2026
Yes, but it is tight
Yes, but it is tight — Qwen3-Coder 30B-A3B (MoE) at Q8_0 needs about 34 GB of the 36 GB usable on MacBook Pro 16" (M4 Max, 48 GB), leaving only ~2 GB before the runtime starts swapping. Expect ~62.3 tok/s (estimated), with room for about 16,384 tokens of context.
Confidence: medium · Recommended quantization: Q8_0 · Estimated speed: ~62.3 tok/s
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MacBook Pro 16" (M4 Max, 48 GB) — what it gives a model
| Usable memory for models | 36 GB |
| Memory bandwidth | 546 GB/s |
| Form factor | Laptop |
| Operating system | macOS |
| Memory upgradeable | No — soldered |
| Price | $3,999 (lib/data/laptops.ts (street price), checked 2026-07-06) |
Qwen3-Coder on MacBook Pro 16" (M4 Max, 48 GB): memory by quantization
| Quant | Memory needed | Fits 36 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 62.6 GB | ✗ No | — | — | 61 GB |
| Q8_0 | 34 GB | ✓ Yes | 16K | ~62.3 tok/s | 32.4 GB |
| Q6_K | 26.6 GB | ✓ Yes | 64K | ~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 | 128K | ~90.9 tok/s | 18.4 GB |
| Q3_K_M | 14.6 GB | ✓ Yes | 128K | ~110.5 tok/s | 13 GB |
| Q2_K | 11.6 GB | ✓ Yes | 128K | ~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.
MacBook Pro M4 Max 48 GB limitations
- Unified memory is soldered and cannot be upgraded after purchase.
- macOS reserves a share of unified memory for the system, so not all 48 GB is available to a model.
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.
- 48 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 MacBook Pro 16" (M4 Max, 48 GB)?
Yes, but it is tight — Qwen3-Coder 30B-A3B (MoE) at Q8_0 needs about 34 GB of the 36 GB usable on MacBook Pro 16" (M4 Max, 48 GB), leaving only ~2 GB before the runtime starts swapping. Expect ~62.3 tok/s (estimated), with room for about 16,384 tokens of context.
Which quantization of Qwen3-Coder should I use on MacBook Pro 16" (M4 Max, 48 GB)?
Q8_0 — it needs about 34 GB of the 36 GB available, downloads as roughly 32.4 GB, and runs at an estimated 62.3 tokens/sec with up to 16K of context.
What limits Qwen3-Coder on MacBook Pro 16" (M4 Max, 48 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
- Qwen3-Coder on MacBook Pro M4 Max 128 GB
- Qwen3-Coder on MacBook Pro M4 Pro 24 GB
- Qwen3-Coder on MacBook Air M4 16 GB
Other Models on MacBook Pro 16" (M4 Max, 48 GB)
- SmolLM2 on MacBook Pro 16" (M4 Max, 48 GB)
- SmolLM3 on MacBook Pro 16" (M4 Max, 48 GB)
- StarCoder 2 on MacBook Pro 16" (M4 Max, 48 GB)
- Aya 3B (Tiny Aya) on MacBook Pro 16" (M4 Max, 48 GB)
- VibeThinker on MacBook Pro 16" (M4 Max, 48 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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