Home / Can I run it? / gpt-oss-20b / gpt-oss-20b on an RTX 4070 Ti Super

Yes, but it is tight. gpt-oss-20b at Q4_K_M needs about 15.6 GB, and the GeForce RTX 4070 Ti Super has 16.0 GB usable at a ~4k context.

Can I run gpt-oss-20b on an RTX 4070 Ti Super?

gpt-oss-20b at Q4_K_M needs about 15.6 GB, and the GeForce RTX 4070 Ti Super has 16.0 GB usable. That figure is 16 GB of VRAM on the spec sheet, of which 16.0 GB is usable for weights and cache, at 672 GB/s memory bandwidth. OpenAI’s open 20B-class gpt-oss model. Only a few billion parameters are active per token, so decode can be quicker than a dense 20B. These are estimates from our formula, not measured benchmarks.

Quant that fits

Q4_K_M Fits, short context only

Memory needed

15.6 GB at Q4_K_M, ~4k context

Usable VRAM

16.0 GB of 16 GB VRAM

Est. tokens/sec

up to 262 estimate

gpt-oss-20b · GeForce RTX 4070 Ti Super · Everything this machine runs · Q4 vs Q8 vs FP16

Memory at each quant

Estimated tokens per second

Estimate: up to 262 tokens/sec at Q4_K_M (upper bound: this is a Mixture-of-Experts, and only the active weights are counted). This is a bandwidth-derived range, not a bench. Efficiency is a 60–85% GPU band from How we calculate.

Context headroom

At Q4_K_M, this machine has headroom out to about 16k tokens under our KV estimate. Longer chats need more memory for the cache. Figures assume an FP16 KV cache.

From the model’s config. Try other sizes in the VRAM calculator or see the context length guide.

What to do instead

• Run R1 Distill 14B instead (11.3 GB at Q4). It is a different model, not a drop-in, but it does fit this machine.
• Q8_0 needs 26.6 GB and does not fit here. The GeForce RTX 5090 has 32.0 GB usable, enough for Q8.
• See the best GPU for this model family and the gpt-oss-20b model page.

Other hardware for gpt-oss-20b

• gpt-oss-20b on an RTX 3060 12GBWon’t fit
• gpt-oss-20b on an RTX 3070 TiWon’t fit
• gpt-oss-20b on an RTX 3080Won’t fit
• gpt-oss-20b on an RTX 3090Fits
• gpt-oss-20b on an RTX 4060 Ti 16GBTight
• gpt-oss-20b on an RTX 4090Fits

Other models on an RTX 4070 Ti Super

• Qwen3-32B on an RTX 4070 Ti SuperWon’t fit
• Qwen3-30B-A3B on an RTX 4070 Ti SuperWon’t fit
• Qwen3.8-27B on an RTX 4070 Ti SuperWon’t fit
• Gemma 3 27B on an RTX 4070 Ti SuperWon’t fit
• Gemma 4 31B on an RTX 4070 Ti SuperWon’t fit
• Mistral Small 24B on an RTX 4070 Ti SuperWon’t fit