OpenAI · 117B · MoE
Can you run gpt-oss-120b locally?
gpt-oss-120b is a mixture-of-experts model with 117B parameters, 5.1B active per token. At 4-bit or better it runs on 26 of the 120 hardware configurations listed here; the smallest is the RTX PRO 6000 Blackwell (96 GB). On a 128 GB DGX Spark it runs at MXFP4, at roughly 61 tokens per second (reported).
Data as of 2 November 2026
Fastest machines for gpt-oss-120b
Every machine that runs it, fastest first. Filter by type; your machine is marked. Compare machines running it side by side
- 1RTX PRO 6000 BlackwellGraphics card · 96 GB~229 tok/s ModelFit est.MXFP4 · 68 of 95 GB
- 22x RTX PRO 6000 BlackwellGraphics card · 192 GB~215 tok/s ModelFit est.MXFP4 · 68 of 190 GB
- 3M5 UltraMac · 96–512 GB · 5 variants~146 tok/s ModelFit est.MXFP4 · 68 GB
- 4M3 UltraMac · 96–512 GB · 5 variants~101 tok/s ModelFit est.MXFP4 · 68 GB
- 5M5 Max · 128 GB · 40cMac · 128 GB~92 tok/s ModelFit est.MXFP4 · 68 of 96 GB
- 6M2 UltraMac · 96–192 GB · 5 variants~90 tok/s ModelFit est.MXFP4 · 68 GB
- 7M1 UltraMac · 128 GB · 2 variants~81 tok/s ModelFit est.MXFP4 · 68 GB
- 8M4 Max · 128 GB · 40cMac · 128 GB~77 tok/s ModelFit est.MXFP4 · 68 of 96 GB
- 9DGX Spark (GB10)AI mini PC · 128 GB~61 tok/s reportedMXFP4 · 68 of 122 GB
- 10M3 Max · 128 GB · 40cMac · 128 GB~60 tok/s ModelFit est.MXFP4 · 68 of 96 GB
- 11M2 Max · 96 GB · 38cMac · 96 GB~57 tok/s ModelFit est.MXFP4 · 68 of 72 GB
- 12M3 Max · 96 GB · 30cMac · 96 GB~46 tok/s ModelFit est.MXFP4 · 68 of 72 GB
- 13Ryzen AI Max+ 395 · 128 GBAI mini PC · 128 GB~36 tok/s ModelFit est.MXFP4 · 68 of 96 GB
Too big for 94 machines
2x RTX 5090, Ryzen AI Max+ 395 · 64 GB, M2 Ultra · 64 GB · 76c, M2 Ultra · 64 GB · 60c, M1 Ultra · 64 GB · 64c, M1 Ultra · 64 GB · 48c, M5 Max · 64 GB · 40c, M4 Max · 64 GB · 40c, M3 Max · 64 GB · 40c, M2 Max · 64 GB · 38c, M2 Max · 64 GB · 30c, M1 Max · 64 GB · 32c, M1 Max · 64 GB · 24c, M5 Pro · 64 GB · 20c, M5 Pro · 64 GB · 16c, M4 Pro · 64 GB · 20c, M4 Pro · 64 GB · 16c, 2x RTX 4090, 2x RTX 3090 Ti, 2x RTX 3090, 2x RX 7900 XTX, M5 Max · 48 GB · 40c, M4 Max · 48 GB · 40c, M3 Max · 48 GB · 40c, M5 Pro · 48 GB · 20c, M5 Pro · 48 GB · 16c, M4 Pro · 48 GB · 20c, M4 Pro · 48 GB · 16c, RTX 5090, M5 Max · 36 GB · 32c, M4 Max · 36 GB · 32c, M3 Max · 36 GB · 30c, M3 Pro · 36 GB, RTX 4090, RTX 3090 Ti, RTX 3090, RX 7900 XTX, M2 Max · 32 GB · 38c, M2 Max · 32 GB · 30c, M1 Max · 32 GB · 32c, M1 Max · 32 GB · 24c, M2 Pro · 32 GB, M1 Pro · 32 GB, M6 · 32 GB · 12c, M5 · 32 GB · 10c, M5 · 32 GB · 8c, M4 · 32 GB, RX 7900 XT, M5 Pro · 24 GB · 20c, M5 Pro · 24 GB · 16c, M4 Pro · 24 GB · 20c, M4 Pro · 24 GB · 16c, M6 · 24 GB · 12c, M6 · 24 GB · 10c, M5 · 24 GB · 10c, M5 · 24 GB · 8c, M4 · 24 GB, M3 · 24 GB, M2 · 24 GB, RTX 5080, RTX 5070 Ti, RTX 5060 Ti, RTX 4080 SUPER, RTX 4080, RTX 4070 Ti SUPER, RTX 4060 Ti, Tesla T4, Tesla P100, RX 9070 XT, RX 9060 XT, M3 Pro · 18 GB, RTX 5070, RTX 4070 Ti, RTX 4070 SUPER, RTX 4070, RTX 3060, M2 Pro · 16 GB, M1 Pro · 16 GB, M6 · 16 GB · 12c, M6 · 16 GB · 10c, M5 · 16 GB · 10c, M5 · 16 GB · 8c, M4 · 16 GB, M3 · 16 GB, M2 · 16 GB, M1 · 16 GB, RTX 5060, RTX 4060, RTX 3070, RTX 3060 Ti, RTX 2070, M3 · 8 GB, M2 · 8 GB, M1 · 8 GB. gpt-oss-120b needs about 68 GB at its smallest build.
Speeds are single-user decode estimates, not measurements. "ModelFit est." comes from ModelFit's model fitted on published runs (CC BY 4.0); "our est." is memory bandwidth divided by bytes read per token, times 0.55. Memory is what the best build needs, against what the machine can give a model. Method
DGX Spark, reported
60.5 tok/s
decode, one Spark, published measurement. Source and setup in the GPUwerk guide
About the model
- Parameters
- 117B
- Active per token
- 5.1B
- Type
- Mixture of experts
- Good for
- General chat and reasoning
- Model card
- Hugging Face
- Hugging Face count
- 116.83B (agrees)
Builds and how to run them
| Quantization | Load | Min. RAM | Command |
|---|---|---|---|
| MXFP4 | 65 GB | 96 GB | ollama run gpt-oss:120b |
Load, minimum RAM and Ollama commands: ModelFit, CC BY 4.0. Load is memory with the model loaded, before long contexts.
Questions
Can I run gpt-oss-120b on a Mac?
Yes on a Mac with enough memory: the smallest Apple configuration listed here that runs it at 4-bit or better is the M5 Ultra · 96 GB · 80c.
How much memory does gpt-oss-120b need?
About 68 GB at the smallest build in our data, including a margin for the runtime and an 8K-token context. Longer contexts need more.
Does gpt-oss-120b run on a DGX Spark?
Yes, at MXFP4. The Spark has 128 GB of unified memory, about 121.6 GB usable.