aliteq.

RTX 5080: 16 GB, what it runs and what it costs

Specs checked · Rental prices from 52m ago · Aliteq Team · How we compute this

The short answer

The NVIDIA GeForce RTX 5080 has 16 GB of VRAM and 960 GB/s of memory bandwidth (2025). At Q4_K_M quality or better with an 8K context it runs 17 of the open models we track; the largest that fits with room to spare is DeepSeek R1 Distill 14B. The cheapest rental right now is $0.140/hr (Vast.ai, interruptible).

VRAM
16 GB
Bandwidth
960 GB/s
Board power
360 W
Launched
2025

Source: NVIDIA specification · bandwidth not yet confirmed by a second source, so we don't estimate speed from it

Buy it or rent it

Buy an RTX 5080

GeForce RTX 5080 16GB cards

New, from Amazon. Check the exact model says 16 GB before you buy.

Best for: The 1440p gaming sweet spot; local models up to about 14B at Q4, more with MoE offload.

Check price on Amazon

Today's price shows on Amazon · Referral link

ProviderTypeFrom, per hourRent
Vast.aiSpot (can be interrupted)$0.140/hrVast.ai
Vast.aiOn demand$0.201/hrVast.ai
LiumOn demand$0.250/hrLium
LiumSpot (can be interrupted)$0.300/hrLium
RunpodOn demand$0.590/hrRunpod

Lowest price per provider in our hourly snapshot (52m ago). Rent buttons are referral links. Every card side by side: cloud GPU prices.

Which AI models run on the RTX 5080

Computed by our VRAM engine for an 8K context: the best quality each model fits at in 16 GB. Speeds are upper-bound estimates from memory bandwidth, not benchmarks.

ModelBest fitVRAM used~tok/s
Gemma 4 26B-A4B (MoE)Q4_K_M16 GB97% · tight—
Mistral Small 24BQ4_K_M15 GB96% · tight—
gpt-oss 20B (MoE)Q5_K_M15 GB94% · tight—
DeepSeek R1 Distill 14BQ6_K14 GB85%—
Qwen2.5-Coder 14BQ6_K14 GB85%—
Qwen3 14BQ6_K13 GB83%—
Phi-4 14BQ6_K14 GB85%—
Gemma 3 12BQ8_013 GB83%—
Gemma 4 12BQ8_013 GB80%—
Qwen3.5 9BQ8_011 GB66%—
Qwen3 8BQ8_010 GB63%—
Gemma 4 E4BF1616 GB99% · tight—

Fits only below Q4 quality: Qwen3.6 35B-A3B (MoE) (Q2_K), Ornith-1.5 35B-A3B (MoE) (Q2_K), Qwen3.5 35B-A3B (MoE) (Q2_K), DeepSeek R1 Distill 32B (Q2_K), Qwen2.5 Coder 32B (Q2_K).

Too big for 16 GB (rent a bigger card instead): what it costs to run Mixtral 8x7B (MoE), what it costs to run DeepSeek R1 Distill 70B, what it costs to run Qwen3-Coder-Next 80B-A3B (MoE), what it costs to run Qwen3-Next 80B-A3B (MoE).

Check a model and context of your own in the VRAM calculator.

AI video on the RTX 5080

Alibaba's Wan 2.2 is an open video model you can run yourself in ComfyUI. With 16 GB the RTX 5080 fits:

  • Wan 2.2 5B, with ComfyUI's native offloading (8 GB and up, per ComfyUI's Wan 2.2 docs)

What each setup needs, the cheapest card to rent and what one clip costs: cloud GPUs for ComfyUI with Flux and Wan 2.2. Against an app or an API: AI video cost per clip, app vs API vs rented GPU. Rather not run a model yourself? Hosted video models such as Seedance, Veo and Hailuo are compared in Kling AI alternatives, priced per clip.

Our guides on the RTX 5080

Cards to compare it with

Every card by VRAM tier: all GPUs for gaming and local AI.

RTX 5080: common questions

How much VRAM does the RTX 5080 have?
16 GB, with 960 GB/s of memory bandwidth, per the maker's specification.
What is the biggest AI model the RTX 5080 can run?
Of the open models we track, DeepSeek R1 Distill 14B is the largest that fits at Q4_K_M or better with an 8K context and room to spare (about 14 GB of 16 GB). Gemma 4 26B-A4B (MoE) also squeezes in, but with almost no memory left for longer context. Bigger models only fit at lower-quality quants or need more memory.
How much does it cost to rent an RTX 5080?
From $0.140/hr on Vast.ai (spot, can be interrupted), the lowest price in our hourly snapshot of Nov 7, 2026. Prices move every hour.
Is 16 GB enough?
The 1440p gaming sweet spot; local models up to about 14B at Q4, more with MoE offload.