Can the Apple M4 Pro (48GB) run Qwen3 Coder Next 80B-A3B?

Apple M4 Pro (48GB) × Qwen3 Coder Next 80B-A3B8K context
Yes, with heavy quantizationFits only at a low-quality quant
Memory at Q2_K30.7 GB of 36 GB
Weights 29.9 GBKV cache 0.2 GBRuntime 0.6 GB
QuantQ2_KHeavily degraded
Speed~146tokens per second
Max context218Ktokens that fit at Q2_K
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

Only just. Qwen3 Coder Next 80B-A3B fits on the Apple M4 Pro (48GB) at Q2_K, which costs noticeable quality. Expect about 146 tokens/second. A card with more memory is a better experience.

Run it with Ollama

Ollama's default qwen3-coder-next download is Q4_K_M, which needs about 49.1 GB, more than the 36 GB available. Download the Q2_K GGUF instead (LM Studio lists quants per model), or try a smaller context length.

New to this? Step-by-step setup for the Apple M4 Pro (48GB)

Run it in the cloud

Want full quality? Run Qwen3 Coder Next 80B-A3B on a bigger rented GPU.

Rent a cloud GPU by the hour. No upfront cost, stop any time. Not sure whether to rent or buy? Compare the cost.

Memory needed by quantization

At 8,192 tokens of context. The black line marks the 36 GB the Apple M4 Pro (48GB) can use. macOS lets the GPU use about 36 GB of the 48 GB unified memory by default.

QuantQualityMemoryFits?Speed
FP16Full quality160.2 GBToo big—
Q8_0Near-lossless85.5 GBToo big—
Q6_KExcellent66.2 GBToo big—
Q5_K_MVery good57.5 GBToo big—
Q4_K_MGood, most popular49.1 GBToo big—
Q3_K_MNoticeably degraded39.8 GBToo big—
Q2_KHeavily degraded30.7 GBFits~146 tok/s

Measured speed from real Apple M4 Pro (48GB) owners

Tokens per second that people measured on their own Apple M4 Pro (48GB), next to our estimate.

No one has measured Qwen3 Coder Next 80B-A3B on the Apple M4 Pro (48GB) yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an Apple M4 Pro (48GB)? Add your real speed

One command times Qwen3 Coder Next 80B-A3B in your own Ollama, shows you exactly what it would send, and asks before sending anything. No sign-up, no personal data.

macOS and Linux

curl -fsSL https://gpufit.dev/bench.sh | sh -s -- qwen3-coder-next

Windows (PowerShell)

$env:GPUFIT_MODEL="qwen3-coder-next"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

Frequently asked questions

Can Apple M4 Pro (48GB) run Qwen3 Coder Next 80B-A3B?

Only just. Qwen3 Coder Next 80B-A3B fits on the Apple M4 Pro (48GB) at Q2_K, which costs noticeable quality. Expect about 146 tokens/second. A card with more memory is a better experience.

How much VRAM does Qwen3 Coder Next 80B-A3B need?

About 49.1 GB at Q4_K_M with 8,192 tokens of context, and about 160.2 GB at full FP16 precision.

How fast is Qwen3 Coder Next 80B-A3B on the Apple M4 Pro (48GB)?

Roughly 146 tokens per second at Q2_K, estimated from the Apple M4 Pro (48GB)'s 273 GB/s memory bandwidth.