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Can the Apple M2 Pro (32GB) run Mistral Small 3.2 24B?

Apple M2 Pro (32GB) × Mistral Small 3.2 24B8K context
YesRuns fully on the GPU
Memory at Q5_K_M19 GB of 21.4 GB
Weights 17.1 GBKV cache 1.3 GBRuntime 0.6 GB
QuantQ5_K_MVery good
Speed~7tokens per second
Max context21Ktokens that fit at Q5_K_M
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

Yes. The Apple M2 Pro (32GB) can run Mistral Small 3.2 24B fully in unified memory at Q5_K_M (very good), using about 19 GB of the 21.4 GB available, at roughly 7 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts Mistral Small 3.2 24B:

ollama run mistral-small3.2:24b

Ollama's default download is Q4_K_M (about 16.5 GB here). You have room for Q5_K_M, which is very good: pick that GGUF in LM Studio or from Hugging Face.

New to this? Step-by-step setup for the Apple M2 Pro (32GB)

Run it in the cloud

No Apple M2 Pro (32GB)? Run Mistral Small 3.2 24B in the cloud.

Rent a cloud GPU by the hour. No upfront cost, stop any time.

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Memory needed by quantization

At 8,192 tokens of context. The black line marks the 21.4 GB the Apple M2 Pro (32GB) can use. macOS lets the GPU use about 21.4 GB of the 32 GB unified memory by default.

QuantQualityMemoryFits?Speed
FP16Full quality49.9 GBToo big—
Q8_0Near-lossless27.4 GBToo big—
Q6_KExcellent21.6 GBToo big—
Q5_K_MVery good19 GBFits~7 tok/s
Q4_K_MGood, most popular16.5 GBFits~8 tok/s
Q3_K_MNoticeably degraded13.7 GBFits~10 tok/s
Q2_KHeavily degraded10.9 GBFits~13 tok/s

Measured speed from real Apple M2 Pro (32GB) owners

Tokens per second that people measured on their own Apple M2 Pro (32GB), next to our estimate.

No one has measured Mistral Small 3.2 24B on the Apple M2 Pro (32GB) yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an Apple M2 Pro (32GB)? Add your real speed

One command times Mistral Small 3.2 24B 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 -- mistral-small3.2:24b

Windows (PowerShell)

$env:GPUFIT_MODEL="mistral-small3.2:24b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Mistral Small 3.2 24B comfortably

Models that run well on the Apple M2 Pro (32GB)

Frequently asked questions

Can Apple M2 Pro (32GB) run Mistral Small 3.2 24B?

Yes. The Apple M2 Pro (32GB) can run Mistral Small 3.2 24B fully in unified memory at Q5_K_M (very good), using about 19 GB of the 21.4 GB available, at roughly 7 tokens/second.

How much VRAM does Mistral Small 3.2 24B need?

About 16.5 GB at Q4_K_M with 8,192 tokens of context, and about 49.9 GB at full FP16 precision.

How fast is Mistral Small 3.2 24B on the Apple M2 Pro (32GB)?

Roughly 7 tokens per second at Q5_K_M, estimated from the Apple M2 Pro (32GB)'s 200 GB/s memory bandwidth.