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Can the Apple M1 Max (64GB) run Qwen3 Coder Next 80B-A3B?

Apple M1 Max (64GB) × Qwen3 Coder Next 80B-A3B8K context
Yes, with heavy quantizationFits only at a low-quality quant
Memory at Q3_K_M39.8 GB of 48 GB
Weights 39 GBKV cache 0.2 GBRuntime 0.6 GB
QuantQ3_K_MNoticeably degraded
Speed~164tokens per second
Max context256Kthe model's full window
  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 M1 Max (64GB) at Q3_K_M, which costs noticeable quality. Expect about 164 tokens/second. A card with more memory is a better experience.

Try other context lengths

Run it with Ollama

Ollama's default qwen3-coder-next download is Q4_K_M, which needs about 49.1 GB, more than the 48 GB available. Download the Q3_K_M GGUF instead (LM Studio lists quants per model), or try a smaller context length.

New to this? Step-by-step setup for the Apple M1 Max (64GB)

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.

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Memory needed by quantization

At 8,192 tokens of context. The black line marks the 48 GB the Apple M1 Max (64GB) can use. macOS lets the GPU use about 48 GB of the 64 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 GBFits~164 tok/s
Q2_KHeavily degraded30.7 GBFits~213 tok/s

Measured speed from real Apple M1 Max (64GB) owners

Tokens per second that people measured on their own Apple M1 Max (64GB), next to our estimate.

No one has measured Qwen3 Coder Next 80B-A3B on the Apple M1 Max (64GB) yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an Apple M1 Max (64GB)? 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

GPUs that run Qwen3 Coder Next 80B-A3B comfortably

Check RTX PRO 6000 Blackwell prices

Models that run well on the Apple M1 Max (64GB)

Frequently asked questions

Can Apple M1 Max (64GB) run Qwen3 Coder Next 80B-A3B?

Only just. Qwen3 Coder Next 80B-A3B fits on the Apple M1 Max (64GB) at Q3_K_M, which costs noticeable quality. Expect about 164 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 M1 Max (64GB)?

Roughly 164 tokens per second at Q3_K_M, estimated from the Apple M1 Max (64GB)'s 400 GB/s memory bandwidth.