Can I Run GPT-OSS on NVIDIA GeForce RTX 5070?

Written by Jakub Rusinowski · Last updated August 15, 2026

Yes, but it's tight — GPT-OSS 20B at MXFP4 needs 10.625 GB of the NVIDIA GeForce RTX 5070's 12 GB, leaving only ~1.4 GB, ~47 tok/s (est.).

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NVIDIA GeForce RTX 5070 12GB
Launch MSRP: $549
2026 prices are volatile — check the current listing.
Check price on Amazon

NVIDIA GeForce RTX 5070 Specs

VRAM12 GB
Memory Bandwidth672 GB/s

GPT-OSS 20B on the NVIDIA GeForce RTX 5070: VRAM by quantization

QuantVRAM neededFits 12 GB?Max context
F1641 GB✗ No
Q8_022.3 GB✗ No
Q6_K17.4 GB✗ No
Q5_K_M15.2 GB✗ No
Q4_K_M13.1 GB✗ No
Q3_K_M9.5 GB✓ Yes32K
Q2_K7.6 GB✓ Yes64K

VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 12 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.

GPT-OSS Sizes That Fit the NVIDIA GeForce RTX 5070

GPT-OSS 20BMXFP4 · 10.625 GB · ~47 tok/s (est.)
Buy vs. rent GPT-OSS
Buy the GPU
~$549
NVIDIA GeForce RTX 5070 · MSRP
Rent by the hour
from $0.34/hr
RTX 4090 (24 GB) class

At 2 hrs/day, buying (~$549) beats renting at $0.34/hr after about 2.2 years.

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RunPod $0.34/hr
Rent on RunPod →
Vast.ai $0.35/hr · typical low · varies
Rent on Vast.ai →

Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.

FAQ

Does the NVIDIA GeForce RTX 5070 have enough VRAM for GPT-OSS?

Yes, but it's tight — GPT-OSS 20B at MXFP4 needs 10.625 GB of the NVIDIA GeForce RTX 5070's 12 GB, leaving only ~1.4 GB, ~47 tok/s (est.).

Which quantization of GPT-OSS should I use on the NVIDIA GeForce RTX 5070?

GPT-OSS 20B at MXFP4 quantization (10.625 GB), estimated ~47 tokens/sec.

GPT-OSS on Other GPUs

Popular Models on the NVIDIA GeForce RTX 5070

VRAM Tier

Troubleshooting

Buying Guide

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