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

Written by Jakub Rusinowski · Last updated August 15, 2026

Yes, comfortably — GPT-OSS 20B at MXFP4 needs 12.3 GB at 8K context (11.1 GB weights + 1.2 GB KV cache/overhead), leaving ~3.7 GB of the NVIDIA GeForce RTX 5070 Ti's 16 GB, at ~199 tok/s (est.).

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NVIDIA GeForce RTX 5070 Ti 16GB
16 GB VRAM · 300 W board power
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NVIDIA GeForce RTX 5070 Ti Specs

VRAM16 GB
Memory Bandwidth896 GB/s

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

QuantVRAM neededFits 16 GB?Max contextWhole PC
F1643 GB✗ No——
Q8_023.4 GB✗ No——
Q6_K18.3 GB✗ No——
Q5_K_M16 GB✗ No——
Q4_K_M13.8 GB✓ Yes32K—
Q3_K_M10.1 GB✓ Yes64K—
Q2_K8.1 GB✓ Yes128K—

Assumes an 8K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 16 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.

Context costs VRAM too. At MXFP4 on the NVIDIA GeForce RTX 5070 Ti: 8K 12.3 GB · 32K 13.5 GB · 128K 18.3 GB ✗. Past 128K it no longer fits 16 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.

No compatible GPU? GPT-OSS 20B on 16 GB of system RAM, CPU only: runs.

GPT-OSS Sizes That Fit the NVIDIA GeForce RTX 5070 Ti (at 8K context)

GPT-OSS 20BMXFP4 · 12.3 GB at 8K context · ~199 tok/s (est.)
Buy vs. rent GPT-OSS
Buy the GPU
~$749
NVIDIA GeForce RTX 5070 Ti · MSRP
Rent by the hour
from $0.34/hr
RTX 4090 (24 GB) class

At 2 hrs/day, buying (~$749) beats renting at $0.34/hr after about 3.1 years.

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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

Will GPT-OSS run on the NVIDIA GeForce RTX 5070 Ti?

Yes, comfortably — GPT-OSS 20B at MXFP4 needs 12.3 GB at 8K context (11.1 GB weights + 1.2 GB KV cache/overhead), leaving ~3.7 GB of the NVIDIA GeForce RTX 5070 Ti's 16 GB, at ~199 tok/s (est.).

Which GPT-OSS variant fits best on the NVIDIA GeForce RTX 5070 Ti?

GPT-OSS 20B at MXFP4 quantization needs 12.3 GB at 8K context (11.1 GB weights + 1.2 GB KV cache/overhead), estimated ~199 tokens/sec.

Every GPT-OSS size on the NVIDIA GeForce RTX 5070 Ti

SizeVRAM at 8KVerdictSpeed
GPT-OSS 120B71.9 GBDoes not fit—
GPT-OSS 20B12.3 GBRuns~199 tok/s

GPT-OSS on Other GPUs

Popular Models on the NVIDIA GeForce RTX 5070 Ti

VRAM Tier

Troubleshooting

Buying Guide

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