gpt-oss-20b hardware requirements
About the model
- Parameters
- 20.9B total · 3.6B active (MoE)
- Attention
- Sliding-window attention
- Max context
- 131,072 tokens
- Released
- 2025-08-05
- Model card
- gpt-oss-20b on Hugging Face
GGUF files
| Quant | File size | Quality | Published by |
|---|---|---|---|
| MXFP4baseline | 12.11 GB | Near-lossless | llama.cpp team · ggml-org |
Memory needed by quant and context
| Quant | 4k | 8k | 16k | 32k | 64k | 128k |
|---|---|---|---|---|---|---|
| MXFP4 | 12.7 | 12.9 | 13.2 | 13.7 | 14.8 | 17.0 |
Which GPUs can run gpt-oss-20b?
How to read the verdicts
- Runs great
- Fully on the GPU at 20 tok/s or more
- Runs well
- Fully on the GPU at 8–20 tok/s; MoE experts in system RAM at 20 tok/s or more; or at least 90% on the GPU at 8 tok/s or more
- Runs slowly
- 2–8 tok/s; CPU-only; less than 90% on the GPU; or MoE experts in system RAM below 20 tok/s
- Won't run
- Does not fit, or under 2 tok/s
Scroll sideways to see every column.
| Hardware | Verdict | Speed | Quant | Memory | Runs as | Context | Notes | Price |
|---|---|---|---|---|---|---|---|---|
| GeForce RTX 5090 | Runs greatDetails | 282.3 tok/s8k estimate 235.0 tok/s (188.0–282.0, calibrated estimate ±20%)measured (1 run, 2k context) | MXFP4 | 13.5 / 32.0 GB | Full GPU | up to 128k | — | $4,200 street (as of 2026-08-09) |
| GeForce RTX 4090 | Runs greatDetails | 225.2 tok/s8k estimate 198.3 tok/s (158.7–238.0, calibrated estimate ±20%)measured (1 run, 2k context) | MXFP4 | 13.5 / 24.0 GB | Full GPU | up to 128k | — | $2,755 street (as of 2026-08-09) |
| Radeon RX 7900 XTX | Runs great | est. 209.9 tok/s167.9–251.8calibrated estimate ±20% | MXFP4 | 13.5 / 24.0 GB | Full GPU | up to 128k | — | $999 launch MSRP |
| GeForce RTX 5080 | Runs great | 204.9 tok/s8k estimate 188.9 tok/s (151.1–226.6, calibrated estimate ±20%)measured (1 run, 2k context) | MXFP4 | 13.5 / 16.0 GB | Full GPU | up to 64k | — | $1,256 street (as of 2026-08-09) |
| GeForce RTX 3090 Ti | Runs great | est. 198.3 tok/s158.7–238.0calibrated estimate ±20% | MXFP4 | 13.5 / 24.0 GB | Full GPU | up to 128k | — | $1,999 launch MSRP |
| GeForce RTX 5070 Ti | Runs great | 189.5 tok/s8k estimate 176.3 tok/s (141.0–211.5, calibrated estimate ±20%)measured (1 run, 2k context) | MXFP4 | 13.5 / 16.0 GB | Full GPU | up to 64k | — | $949 street (as of 2026-08-09) |
| GeForce RTX 4080 Super | Runs great | 186.4 tok/s8k estimate 144.8 tok/s (115.8–173.8, calibrated estimate ±20%)measured (1 run, 2k context) | MXFP4 | 13.5 / 16.0 GB | Full GPU | up to 64k | — | $999 launch MSRP |
| GeForce RTX 5080 Laptop | Runs great | est. 176.3 tok/s141.0–211.5calibrated estimate ±20% | MXFP4 | 13.5 / 16.0 GB | Full GPU | up to 64k | — | — |
| GeForce RTX 5090 Laptop | Runs great | est. 176.3 tok/s141.0–211.5calibrated estimate ±20% | MXFP4 | 13.5 / 24.0 GB | Full GPU | up to 128k | — | — |
| GeForce RTX 3090 | Runs greatDetails | 162.0 tok/s8k estimate 184.2 tok/s (147.3–221.0, calibrated estimate ±20%)measured (1 run, 2k context) | MXFP4 | 13.5 / 24.0 GB | Full GPU | up to 128k | — | $1,050 street (as of 2026-08-09) |
| GeForce RTX 4080 | Runs great | est. 141.1 tok/s112.9–169.3calibrated estimate ±20% | MXFP4 | 13.5 / 16.0 GB | Full GPU | up to 64k | — | $1,199 launch MSRP |
| Radeon RX 9070 | Runs great | est. 141.0 tok/s112.8–169.2calibrated estimate ±20% | MXFP4 | 13.5 / 16.0 GB | Full GPU | up to 64k | — | $639 street (as of 2026-08-09) |
| Radeon RX 9070 XT | Runs great | est. 141.0 tok/s112.8–169.2calibrated estimate ±20% | MXFP4 | 13.5 / 16.0 GB | Full GPU | up to 64k | — | $689 street (as of 2026-08-09) |
| Radeon RX 7800 XT | Runs great | est. 136.4 tok/s109.1–163.7calibrated estimate ±20% | MXFP4 | 13.5 / 16.0 GB | Full GPU | up to 64k | — | $499 launch MSRP |
| GeForce RTX 4070 Ti Super | Runs great | est. 132.2 tok/s105.8–158.7calibrated estimate ±20% | MXFP4 | 13.5 / 16.0 GB | Full GPU | up to 64k | — | $799 launch MSRP |
| Apple M3 Ultra · 96 GB | Runs great | 115.5 tok/s8k estimate 103.8 tok/s (83.1–124.6, calibrated estimate ±20%)measured (1 run, 2k context) | MXFP4 | 12.9 / 67.2 GB | Unified memory | up to 128k | — | — |
| GeForce RTX 4090 Laptop | Runs great | est. 113.3 tok/s90.7–136.0calibrated estimate ±20% | MXFP4 | 13.5 / 16.0 GB | Full GPU | up to 64k | — | — |
| GeForce RTX 5060 Ti 16GB | Runs greatDetails | 111.6 tok/s8k estimate 88.1 tok/s (70.5–105.8, calibrated estimate ±20%)measured (1 run, 2k context) | MXFP4 | 13.5 / 16.0 GB | Full GPU | up to 64k | — | $569 street (as of 2026-08-09) |
| Radeon RX 7900 XT | Runs great | 101.9 tok/s8k estimate 174.9 tok/s (139.9–209.9, calibrated estimate ±20%)measured (1 run, 2k context) | MXFP4 | 13.5 / 20.0 GB | Full GPU | up to 128k | — | $899 launch MSRP |
| Apple M2 Ultra · 64 GB | Runs great | est. 101.4 tok/s81.1–121.7calibrated estimate ±20% | MXFP4 | 12.9 / 44.8 GB | Unified memory | up to 128k | — | — |
| Apple M4 Max (40-core GPU) · 48 GB | Runs great | 92.4 tok/s8k estimate 71.6 tok/s (57.3–85.9, calibrated estimate ±20%)measured (1 run, 2k context) | MXFP4 | 12.9 / 33.6 GB | Unified memory | up to 128k | — | — |
| Apple M5 Max (40-core GPU) · 48 GB | Runs great | est. 80.5 tok/s64.4–96.6calibrated estimate ±20% | MXFP4 | 12.9 / 33.6 GB | Unified memory | up to 128k | — | — |
| Radeon RX 9060 XT 16GB | Runs great | est. 70.4 tok/s56.3–84.5calibrated estimate ±20% | MXFP4 | 13.5 / 16.0 GB | Full GPU | up to 64k | — | $449 street (as of 2026-08-09) |
| Apple M5 Max (32-core GPU) · 36 GB | Runs great | est. 60.3 tok/s48.3–72.4calibrated estimate ±20% | MXFP4 | 12.9 / 25.2 GB | Unified memory | up to 64k | — | — |
| Ryzen AI Max+ 395 (Strix Halo) · 32 GB | Runs great | est. 59.3 tok/s47.5–71.2calibrated estimate ±20% | MXFP4 | 12.9 / 22.4 GB | Unified memory | up to 64k | — | $1,999 launch MSRP |
| GeForce RTX 4060 Ti 16GB | Runs great | est. 56.7 tok/s45.3–68.0calibrated estimate ±20% | MXFP4 | 13.5 / 16.0 GB | Full GPU | up to 64k | — | $499 launch MSRP |
| Apple M4 Max (32-core GPU) · 36 GB | Runs great | est. 53.8 tok/s43.0–64.5calibrated estimate ±20% | MXFP4 | 12.9 / 25.2 GB | Unified memory | up to 64k | — | — |
| NVIDIA DGX Spark · 128 GB | Runs great | est. 47.7 tok/s38.2–57.3calibrated estimate ±20% | MXFP4 | 12.9 / 89.6 GB | Unified memory | up to 32k | — | $3,999 launch MSRP |
| Apple M5 Pro · 24 GB | Runs great | est. 40.3 tok/s32.2–48.3calibrated estimate ±20% | MXFP4 | 12.9 / 16.8 GB | Unified memory | up to 32k | — | — |
| Apple M4 Pro · 24 GB | Runs greatDetails | est. 35.8 tok/s28.6–43.0calibrated estimate ±20% | MXFP4 | 12.9 / 16.8 GB | Unified memory | up to 16k | — | — |
| Apple M5 · 24 GB | Runs well | est. 20.1 tok/s16.1–24.2calibrated estimate ±20% | MXFP4 | 12.9 / 16.8 GB | Unified memory | up to 64k | — | — |
| Apple M4 · 24 GB | Runs wellDetails | est. 15.7 tok/s12.6–18.9calibrated estimate ±20% | MXFP4 | 12.9 / 16.8 GB | Unified memory | up to 32k | — | — |
| Intel Arc B580 | Runs slowly | est. 18.5 tok/s12.9–24.0theoretical estimate ±30% | MXFP4 | 2.0 / 12.0 GB + 11.5 GB RAM | MoE experts in RAM | up to 128k |
| $290 street (as of 2026-08-09) |
| GeForce GTX 1080 Ti | Runs slowly | est. 18.5 tok/s12.9–24.0theoretical estimate ±30% | MXFP4 | 2.0 / 11.0 GB + 11.5 GB RAM | MoE experts in RAM | up to 128k |
| $699 launch MSRP |
| GeForce RTX 2080 Ti | Runs slowly | est. 18.5 tok/s12.9–24.0theoretical estimate ±30% | MXFP4 | 2.0 / 11.0 GB + 11.5 GB RAM | MoE experts in RAM | up to 128k |
| $999 launch MSRP |
| GeForce RTX 3050 8GB | Runs slowly | est. 18.5 tok/s12.9–24.0theoretical estimate ±30% | MXFP4 | 2.0 / 8.0 GB + 11.5 GB RAM | MoE experts in RAM | up to 128k |
| $249 launch MSRP |
| GeForce RTX 3060 12GB | Runs slowlyDetails | est. 18.5 tok/s12.9–24.0theoretical estimate ±30% | MXFP4 | 2.0 / 12.0 GB + 11.5 GB RAM | MoE experts in RAM | up to 128k |
| $250 street (as of 2026-08-09) |
| GeForce RTX 3070 | Runs slowly | est. 18.5 tok/s12.9–24.0theoretical estimate ±30% | MXFP4 | 2.0 / 8.0 GB + 11.5 GB RAM | MoE experts in RAM | up to 128k |
| $499 launch MSRP |
| GeForce RTX 3080 10GB | Runs slowly | est. 18.5 tok/s12.9–24.0theoretical estimate ±30% | MXFP4 | 2.0 / 10.0 GB + 11.5 GB RAM | MoE experts in RAM | up to 128k |
| $699 launch MSRP |
| GeForce RTX 3080 12GB | Runs slowly | est. 18.5 tok/s12.9–24.0theoretical estimate ±30% | MXFP4 | 2.0 / 12.0 GB + 11.5 GB RAM | MoE experts in RAM | up to 128k |
| $799 launch MSRP |
| GeForce RTX 4060 | Runs slowlyDetails | est. 18.5 tok/s12.9–24.0theoretical estimate ±30% | MXFP4 | 2.0 / 8.0 GB + 11.5 GB RAM | MoE experts in RAM | up to 128k |
| $299 launch MSRP |
| GeForce RTX 4060 Laptop | Runs slowly | est. 18.5 tok/s12.9–24.0theoretical estimate ±30% | MXFP4 | 2.0 / 8.0 GB + 11.5 GB RAM | MoE experts in RAM | up to 128k |
| — |
| GeForce RTX 4060 Ti 8GB | Runs slowly | est. 18.5 tok/s12.9–24.0theoretical estimate ±30% | MXFP4 | 2.0 / 8.0 GB + 11.5 GB RAM | MoE experts in RAM | up to 128k |
| $399 launch MSRP |
| GeForce RTX 4070 | Runs slowlyDetails | est. 18.5 tok/s12.9–24.0theoretical estimate ±30% | MXFP4 | 2.0 / 12.0 GB + 11.5 GB RAM | MoE experts in RAM | up to 128k |
| $599 launch MSRP |
| GeForce RTX 4070 Laptop | Runs slowly | est. 18.5 tok/s12.9–24.0theoretical estimate ±30% | MXFP4 | 2.0 / 8.0 GB + 11.5 GB RAM | MoE experts in RAM | up to 128k |
| — |
| GeForce RTX 4070 Super | Runs slowly | est. 18.5 tok/s12.9–24.0theoretical estimate ±30% | MXFP4 | 2.0 / 12.0 GB + 11.5 GB RAM | MoE experts in RAM | up to 128k |
| $599 launch MSRP |
| GeForce RTX 4080 Laptop | Runs slowly | est. 18.5 tok/s12.9–24.0theoretical estimate ±30% | MXFP4 | 2.0 / 12.0 GB + 11.5 GB RAM | MoE experts in RAM | up to 128k |
| — |
| GeForce RTX 5060 | Runs slowly | est. 18.5 tok/s12.9–24.0theoretical estimate ±30% | MXFP4 | 2.0 / 8.0 GB + 11.5 GB RAM | MoE experts in RAM | up to 128k |
| $339 street (as of 2026-08-09) |
| GeForce RTX 5060 Ti 8GB | Runs slowly | est. 18.5 tok/s12.9–24.0theoretical estimate ±30% | MXFP4 | 2.0 / 8.0 GB + 11.5 GB RAM | MoE experts in RAM | up to 128k |
| $429 street (as of 2026-08-09) |
| GeForce RTX 5070 | Runs slowlyDetails | est. 18.5 tok/s12.9–24.0theoretical estimate ±30% | MXFP4 | 2.0 / 12.0 GB + 11.5 GB RAM | MoE experts in RAM | up to 128k |
| $629 street (as of 2026-08-09) |
| GeForce RTX 5070 Ti Laptop | Runs slowly | est. 18.5 tok/s12.9–24.0theoretical estimate ±30% | MXFP4 | 2.0 / 12.0 GB + 11.5 GB RAM | MoE experts in RAM | up to 128k |
| — |
| DDR5-6000 dual-channel CPU · 32 GB | Runs slowly | est. 18.0 tok/s14.4–21.7calibrated estimate ±20% | MXFP4 | 12.3 GB RAM | CPU only | up to 128k |
| — |
| DDR5-5600 dual-channel CPU · 32 GB | Runs slowly | est. 16.8 tok/s13.5–20.2calibrated estimate ±20% | MXFP4 | 12.3 GB RAM | CPU only | up to 128k |
| — |
| DDR4-3200 dual-channel CPU · 32 GB | Runs slowly | est. 9.6 tok/s7.7–11.6calibrated estimate ±20% | MXFP4 | 12.3 GB RAM | CPU only | up to 128k | — | — |
Reasoning models spend extra tokens thinking, so their speed thresholds are 1.5× stricter (30 / 12 / 3 tok/s).
Cheapest GPUs that run it
- Runs greatRadeon RX 9060 XT 16GB$449 street (as of 2026-08-09), est. 70.4 tok/s (56.3–84.5, calibrated estimate ±20%).
Measured results for gpt-oss-20b
Public benchmarks we calibrate against. Their conditions (context, backend, flags) can differ from the estimates above.
| Hardware | Quant | Backend | Context | Prompt (tok/s) | Generation (tok/s) | Flags | Source | Measured |
|---|---|---|---|---|---|---|---|---|
| GeForce RTX 5090 | MXFP4 | llama.cpp | 2k | 9,841.0 | 282.3 | — | github.com | 2025-08-15 |
| GeForce RTX 4090 | MXFP4 | llama.cpp | 2k | 8,078.0 | 225.2 | — | github.com | 2025-08-15 |
| GeForce RTX 5080 | MXFP4 | llama.cpp | 2k | 7,469.0 | 204.9 | — | github.com | 2025-08-15 |
| GeForce RTX 5070 Ti | MXFP4 | llama.cpp | 2k | 6,326.0 | 189.5 | — | github.com | 2025-08-15 |
| GeForce RTX 4080 Super | MXFP4 | llama.cpp | 2k | 8,111.0 | 186.4 | — | github.com | 2025-08-15 |
| GeForce RTX 3090 | MXFP4 | llama.cpp | 2k | 5,143.0 | 162.0 | — | github.com | 2025-08-15 |
| GeForce RTX 5060 Ti 16GB | MXFP4 | llama.cpp | 2k | 3,821.0 | 111.6 | — | github.com | 2025-08-15 |
| Radeon RX 7900 XT | MXFP4 | llama.cpp | 2k | 4,252.0 | 101.9 | ROCm | github.com | 2025-08-15 |
| Apple M3 Ultra | MXFP4 | llama.cpp | 2k | 2,816.0 | 115.5 | — | github.com | 2025-08-15 |
| Apple M4 Max (40-core GPU) | MXFP4 | llama.cpp | 2k | 1,277.0 | 92.4 | — | github.com | 2025-08-15 |
Frequently asked questions
How much VRAM does gpt-oss-20b need?
At MXFP4 the weights are 12.11 GB; with 8k context the total is about 12.9 GB (KV cache 0.2 GB, compute buffer 0.6 GB).
What is the cheapest GPU that runs gpt-oss-20b well?
Cheapest that runs it great: Radeon RX 9060 XT 16GB at $449 (street price as of 2026-08-09), est. 70.4 tok/s (56.3–84.5, calibrated estimate ±20%).
Can gpt-oss-20b run on an 8 GB, 16 GB or 24 GB GPU?
At MXFP4 with 8k context: GeForce RTX 4060 — Runs slowly, est. 18.5 tok/s (12.9–24.0, theoretical estimate ±30%); GeForce RTX 5060 Ti 16GB — Runs great, 111.6 tok/s measured at 2k context (1 run; 8k estimate 88.1 tok/s, 70.5–105.8, calibrated estimate ±20%); GeForce RTX 3090 — Runs great, 162.0 tok/s measured at 2k context (1 run; 8k estimate 184.2 tok/s, 147.3–221.0, calibrated estimate ±20%).
Speeds are estimates from memory bandwidth, calibrated against public benchmarks, and each one comes with an error band and a confidence label. Real results vary with drivers, backend, context length and thermals.