Openai Gpt Oss 20B speed on Apple M3 Pro and quantization-level VRAM fit.
Apple M3 Pro meets the minimum VRAM requirement for Q4 inference of Openai Gpt Oss 20B. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
Apple M3 Pro can run Openai Gpt Oss 20B with Q4 quantization. At approximately 11 tokens/second, you can expect Basic speed - best for non-interactive tasks.
You have 26GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 10GB | 36GB | 11.08 tok/s | ✅ Fits comfortably |
| Q8 | 20GB | 36GB | 7.75 tok/s | ✅ Fits comfortably |
| FP16 | 40GB | 36GB | 4.21 tok/s | ❌ Not recommended |
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Apple M3 Pro can run Openai Gpt Oss 20B at Q4 with an estimated 11 tok/s.
Q4 inference is estimated to need about 10GB VRAM on this page, while Apple M3 Pro has 36GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.