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Can the Apple M3 Pro (36GB) run DeepSeek V4 Pro 1.6T-A49B?

Apple M3 Pro (36GB) × DeepSeek V4 Pro 1.6T-A49B8K context
NoDoes not fit in memory
Memory at Q4_K_M971.2 GB of 24.1 GB
Weights 970 GBKV cache 0.6 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, DeepSeek V4 Pro 1.6T-A49B needs about 971.2 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.

Try other context lengths

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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 quality3201.2 GBToo big—
Q8_0Near-lossless1701.2 GBToo big—
Q6_KExcellent1313.2 GBToo big—
Q5_K_MVery good1139.2 GBToo big—
Q4_K_MGood, most popular971.2 GBToo big—
Q3_K_MNoticeably degraded783.2 GBToo big—
Q2_KHeavily degraded601.2 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 DeepSeek V4 Pro 1.6T-A49B 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 DeepSeek V4 Pro 1.6T-A49B 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

Models that run well on the Apple M3 Pro (36GB)

Frequently asked questions

Can Apple M3 Pro (36GB) run DeepSeek V4 Pro 1.6T-A49B?

No. Even at Q4_K_M, DeepSeek V4 Pro 1.6T-A49B needs about 971.2 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 DeepSeek V4 Pro 1.6T-A49B need?

About 971.2 GB at Q4_K_M with 8,192 tokens of context, and about 3201.2 GB at full FP16 precision.

How fast is DeepSeek V4 Pro 1.6T-A49B 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.