Can the Apple M3 Pro (36GB) run Qwen3.8 Flash Next?

Apple M3 Pro (36GB) × Qwen3.8 Flash Next8K context
NoDoes not fit in memory
Memory at Q4_K_M109.9 GB of 24.1 GB
Weights 109.1 GBKV cache 0.2 GBRuntime 0.6 GB
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

No. Even at Q4_K_M, Qwen3.8 Flash Next needs about 109.9 GB, but the Apple M3 Pro (36GB) has 24.1 GB usable. You could offload some layers to system RAM, but it will be very slow.

Run it in the cloud

Too big for the Apple M3 Pro (36GB)? Run Qwen3.8 Flash Next on a rented GPU instead.

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Memory needed by quantization

At 8,192 tokens of context. The black line marks the 24.1 GB the Apple M3 Pro (36GB) can use. macOS lets the GPU use about 24.1 GB of the 36 GB unified memory by default.

QuantQualityMemoryFits?Speed
FP16Full quality360.8 GBToo big—
Q8_0Near-lossless192.1 GBToo big—
Q6_KExcellent148.4 GBToo big—
Q5_K_MVery good128.8 GBToo big—
Q4_K_MGood, most popular109.9 GBToo big—
Q3_K_MNoticeably degraded88.8 GBToo big—
Q2_KHeavily degraded68.3 GBToo big—

Measured speed from real Apple M3 Pro (36GB) owners

Tokens per second that people measured on their own Apple M3 Pro (36GB), next to our estimate.

No one has measured Qwen3.8 Flash Next on the Apple M3 Pro (36GB) yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an Apple M3 Pro (36GB)? Add your real speed

One command times Qwen3.8 Flash Next 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

Windows (PowerShell)

irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

Frequently asked questions

Can Apple M3 Pro (36GB) run Qwen3.8 Flash Next?

No. Even at Q4_K_M, Qwen3.8 Flash Next needs about 109.9 GB, but the Apple M3 Pro (36GB) has 24.1 GB usable. You could offload some layers to system RAM, but it will be very slow.

How much VRAM does Qwen3.8 Flash Next need?

About 109.9 GB at Q4_K_M with 8,192 tokens of context, and about 360.8 GB at full FP16 precision.

How fast is Qwen3.8 Flash Next on the Apple M3 Pro (36GB)?

It does not fit in the Apple M3 Pro (36GB)'s memory, so most layers would run from system RAM and generation would be very slow.