Models › gpt-oss 120B
gpt-oss 120B: VRAM needs and speed by GPU
At Q4_K_M, gpt-oss 120B needs about 66.0 GB of VRAM. We have 11 measured speed results for it.
116.83B parameters (mixture-of-experts, ~5.1B active) · license: apache-2.0 · 131,072-token context · GGUF published Aug 5, 2025 · GGUF files on Hugging Face
Measured speeds
| Hardware | Generate tok/s | Prompt tok/s | Quant | Backend | Test | Source |
|---|---|---|---|---|---|---|
| NVIDIA RTX PRO 6000 Blackwell | 196 | 5,518 | MXFP4 | CUDA FA on | tg128 | llama.cpp #15396 details |
| NVIDIA RTX PRO 6000 Blackwell Max-Q | 184 | 5,449 | MXFP4 | CUDA FA on | tg128 · n=2 | llama.cpp #15396 llama.cpp #15396 details |
| Apple M2 Ultra | 85.6 | 1,649 | MXFP4 | Metal FA on | tg32 | llama.cpp benches details |
| Apple M2 Ultra (76-core GPU) | 79.7 | 1,245 | MXFP4 | Metal FA on | tg128 | llama.cpp #15396 details |
| NVIDIA DGX Spark (GB10) | 62.4 | 2,444 | Q4_K_M | CUDA FA on | tg32 | llama.cpp #16578 details |
| NVIDIA DGX Spark (GB10) | 58.0 | 2,130 | MXFP4 | CUDA FA on | tg32 · n=2 | llama.cpp benches llama.cpp #15396 details |
| AMD Radeon 780M | 19.4 | 219 | MXFP4 | ROCm FA on | tg16 | llama.cpp #15396 details |
| NVIDIA RTX 4060 | 18.9 | 333 | MXFP4 | CUDA FA on | tg128 · part CPU | llama.cpp #15396 details |
| NVIDIA RTX 4060 | 17.4 | 201 | F16 | CUDA FA on | tg128 · part CPU | llama.cpp #15396 details |
Memory needed per quantization
| Quant | File size | Needs (estimate) | Smallest card it fits |
|---|---|---|---|
| Q4_K_M | 63.0 GB | 66.0 GB | 96 GB cards |
| MXFP4 | 63.4 GB | 66.4 GB | 96 GB cards |
| F16 | 65.4 GB | 68.4 GB | 96 GB cards |
Expected speed on popular hardware
| Hardware | Best quant that fits | Expected tok/s |
|---|---|---|
| NVIDIA RTX 3060 | Does not fit | |
| NVIDIA RTX 4060 Ti | Does not fit | |
| NVIDIA RTX 3090 | Does not fit | |
| NVIDIA RTX 4090 | Does not fit | |
| NVIDIA RTX 5090 | Does not fit | |
| AMD Radeon RX 7900 XTX | Does not fit | |
| Apple M4 Pro (20-core GPU) | Does not fit | |
| Apple M3 Max (40-core GPU) | Does not fit | |
| AMD Ryzen AI Max+ 395 (Radeon 8060S) | Q4_K_M | 37.8 estimate |
Too big for your card?
Run gpt-oss 120B on a rented 24-80 GB GPU by the hour.
Rent a bigger GPU on RunPodAffiliate link: if you sign up, RigBench may earn a referral credit. It never affects rankings or numbers.