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Can the Apple M1 Max (64GB) run gpt-oss 20B?

Apple M1 Max (64GB) × gpt-oss 20B8K context
YesRuns fully on the GPU
Memory at FP1642.6 GB of 48 GB
Weights 41.8 GBKV cache 0.2 GBRuntime 0.6 GB
QuantFP16Full quality
Speed~33tokens per second
Max context128Kthe 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

Yes. The Apple M1 Max (64GB) can run gpt-oss 20B fully in unified memory at FP16 (full quality), using about 42.6 GB of the 48 GB available, at roughly 33 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts gpt-oss 20B:

ollama run gpt-oss:20b

Ollama's default download is Q4_K_M (about 13.5 GB here). You have room for FP16, which is full quality: pick that GGUF in LM Studio or from Hugging Face.

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

Run it in the cloud

No Apple M1 Max (64GB)? Run gpt-oss 20B in the cloud.

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

Rent a GPU on RunPodRent a GPU on Vast.ai

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 quality42.6 GBFits~33 tok/s
Q8_0Near-lossless23 GBFits~63 tok/s
Q6_KExcellent17.9 GBFits~81 tok/s
Q5_K_MVery good15.7 GBFits~94 tok/s
Q4_K_MGood, most popular13.5 GBFits~110 tok/s
Q3_K_MNoticeably degraded11 GBFits~136 tok/s
Q2_KHeavily degraded8.6 GBFits~178 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 gpt-oss 20B 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 gpt-oss 20B 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 -- gpt-oss:20b

Windows (PowerShell)

$env:GPUFIT_MODEL="gpt-oss:20b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run gpt-oss 20B comfortably

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

Frequently asked questions

Can Apple M1 Max (64GB) run gpt-oss 20B?

Yes. The Apple M1 Max (64GB) can run gpt-oss 20B fully in unified memory at FP16 (full quality), using about 42.6 GB of the 48 GB available, at roughly 33 tokens/second.

How much VRAM does gpt-oss 20B need?

About 13.5 GB at Q4_K_M with 8,192 tokens of context, and about 42.6 GB at full FP16 precision.

How fast is gpt-oss 20B on the Apple M1 Max (64GB)?

Roughly 33 tokens per second at FP16, estimated from the Apple M1 Max (64GB)'s 400 GB/s memory bandwidth.