Best hardware for GPT-OSS 20B
What runs GPT-OSS 20B well, from the NVIDIA GeForce RTX 4060 Ti up: every tracked GPU and five current Macs graded with engine-estimated speeds and one clear answer per memory size.
GPT-OSS 20B on every tracked GPU
Speeds are engine estimates. Smallest tracked card that fits: NVIDIA GeForce RTX 4060 Ti (16 GB).
GPT-OSS 20B on current Macs (M5/M6)
| Mac | Memory | Verdict | Est. speed | |
|---|---|---|---|---|
| Mac Mini M6 16GB | 16 GB unified memory | Tight | ~20 tok/s | |
| MacBook Air M5 24GB | 24 GB unified memory | Runs well | ~25 tok/s | |
| MacBook Pro M5 Pro 48GB | 48 GB unified memory | Runs well | ~48 tok/s | |
| MacBook Pro M5 Max 128GB | 128 GB unified memory | Runs well | ~82 tok/s | |
| Mac Studio M5 Ultra 256GB | 256 GB unified memory | Runs well | ~120 tok/s |
Unified memory: the RAM budget (~70-85%) is the limit, not a VRAM wall. Current-gen configs only.
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Frequently asked questions
What is the smallest GPU that runs GPT-OSS 20B well?
The NVIDIA GeForce RTX 4060 Ti (16 GB) is the smallest tracked card where GPT-OSS 20B (MXFP4) runs comfortably, with ~29 tok/s estimated.
Does GPT-OSS 20B run on a Mac?
Yes. GPT-OSS 20B runs from the MacBook Air M5 24GB (~25 tok/s est.) up; unified memory means the RAM budget, not a VRAM wall, is the limit. Apple Silicon is often the cheapest path to large models.
What is the fastest way to run GPT-OSS 20B?
The fastest tracked machine for GPT-OSS 20B is the NVIDIA GeForce RTX 5090 at ~122 tok/s estimated. Speed is memory-bandwidth-bound, so high-bandwidth cards win.
Cite this page
ModelFit: Best hardware for GPT-OSS 20B (21B, MXFP4). https://modelfit.io/best-hardware-for/gpt-oss-20b/ (dataset updated 2026-10-13, CC BY 4.0).