How fast will GPT-OSS 20B feel on the H100 80GB (cloud)?

GPT-OSS 20B on the H100 80GB (cloud)

GPT-OSS 20B is a 20.91B-parameter mixture-of-experts model (3.6B active per token). At MXFP4 it needs about 12.9 GB of memory. The H100 80GB (cloud) has 74 GB usable, so it fits entirely in memory. Expect about 648 tokens/sec (235–1060), with the first token after 0.3 s for a short prompt. This estimate is interpolated from benchmarks of similar setups.

Speed by quantization

QuantizationFile sizeMemoryGenerationFirst tokenSource
MXFP412.1 GBFits648 tok/s0.3 sDerived

GPT-OSS 20B on other hardware

Other models on the H100 80GB (cloud)

All models on the H100 80GB (cloud) · GPT-OSS 20B on all hardware

Estimates for a short prompt on a single device. Measured numbers come from community benchmarks (r/LocalLLaMA, localscore.ai and more); others are derived from similar setups or projected from specs. Open source on GitHub.