Can I Run Qwen3-Coder on MacBook Pro 14" (M4 Pro, 24 GB)?
Autor: Jakub Rusinowski · Ostatnia aktualizacja: 29 września 2026
Yes
Yes — Qwen3-Coder 30B-A3B (MoE) at Q3_K_M needs about 14.6 GB of the 18 GB usable on MacBook Pro 14" (M4 Pro, 24 GB) (~3.4 GB spare), at ~66.3 tok/s (estimated), with room for about 32,768 tokens of context.
Confidence: high · Recommended quantization: Q3_K_M · Estimated speed: ~66.3 tok/s
See what else this hardware can run →
lub porównaj w Vast.ai od $0.35/godz. (typical low · varies)
Jako partner Amazon zarabiamy na kwalifikujących się zakupach. Linki do chmurowych GPU są linkami polecającymi — możemy otrzymać prowizję bez dodatkowych kosztów dla Ciebie.
MacBook Pro 14" (M4 Pro, 24 GB) — what it gives a model
| Usable memory for models | 18 GB |
| Memory bandwidth | 273 GB/s |
| Form factor | Laptop |
| Operating system | macOS |
| Memory upgradeable | No — soldered |
| Price | $1,999 (lib/data/laptops.ts (street price), checked 2026-07-06) |
Qwen3-Coder on MacBook Pro 14" (M4 Pro, 24 GB): memory by quantization
| Quant | Memory needed | Fits 18 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 62.6 GB | ✗ No | — | — | 61 GB |
| Q8_0 | 34 GB | ✗ No | — | — | 32.4 GB |
| Q6_K | 26.6 GB | ✗ No | — | — | 25 GB |
| Q5_K_M | 23.2 GB | ✗ No | — | — | 21.6 GB |
| Q4_K_M | 20 GB | ✗ No | — | — | 18.4 GB |
| Q3_K_M | 14.6 GB | ✓ Yes | 32K | ~66.3 tok/s | 13 GB |
| Q2_K | 11.6 GB | ✓ Yes | 64K | ~77.3 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) | 49.4 GB | ✗ Too large | — |
| Qwen3-Coder 30B-A3B (MoE) | 20 GB | ✗ Too large | — |
What to watch out for
- Q3_K_M is the only quantization that fits, and it is a heavily degraded one — expect noticeably worse output than the same model at Q4_K_M. A smaller model at Q4 is usually the better trade.
- 3 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 Pro 24 GB limitations
- Unified memory is soldered and cannot be upgraded after purchase.
- 24 GB is the practical ceiling for a single mid-size model plus a long context.
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.
- 24 GB unified memory at 273 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 14" (M4 Pro, 24 GB)?
Yes — Qwen3-Coder 30B-A3B (MoE) at Q3_K_M needs about 14.6 GB of the 18 GB usable on MacBook Pro 14" (M4 Pro, 24 GB) (~3.4 GB spare), at ~66.3 tok/s (estimated), with room for about 32,768 tokens of context.
Which quantization of Qwen3-Coder should I use on MacBook Pro 14" (M4 Pro, 24 GB)?
Q3_K_M — it needs about 14.6 GB of the 18 GB available, downloads as roughly 13 GB, and runs at an estimated 66.3 tokens/sec with up to 32K of context.
What limits Qwen3-Coder on MacBook Pro 14" (M4 Pro, 24 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 Max 48 GB
- Qwen3-Coder on MacBook Air M4 16 GB
Other Models on MacBook Pro 14" (M4 Pro, 24 GB)
- SmolLM2 on MacBook Pro 14" (M4 Pro, 24 GB)
- SmolLM3 on MacBook Pro 14" (M4 Pro, 24 GB)
- StarCoder 2 on MacBook Pro 14" (M4 Pro, 24 GB)
- Aya 3B (Tiny Aya) on MacBook Pro 14" (M4 Pro, 24 GB)
- VibeThinker on MacBook Pro 14" (M4 Pro, 24 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
← Can I Run It? | Qwen3-Coder model page | Check your hardware