Can the GeForce RTX 4090 (used) run Qwen3 14B?
Fits comfortably at Q4_K_M.
Qwen3 14B is 14.8B parameters. At Q4_K_M the weights are about 8.3 GiB; with the 1.5 GiB runtime reserve that is 9.8 GiB against the card's 24GB, leaving about 14.2 GiB for context.
All three quants
24GB card| Quant | Weights | With reserve | Verdict | Headroom |
|---|---|---|---|---|
| Q4_K_Mthe everyday quant | 8.3 GiB | 9.8 GiB | Fits comfortably | 14.2 GiB |
| Q8_0near-lossless | 14.6 GiB | 16.1 GiB | Fits comfortably | 7.9 GiB |
| FP16full weights | 27.6 GiB | 29.1 GiB | Only with CPU offload | short 5.1 GiB |
Verdict rules: fits comfortably when weights plus reserve sit within 85% of VRAM; tight when they fit with little left for context; CPU offload when they exceed VRAM by up to 2x (runs, slowly, with layers in system RAM); no beyond that. The KV cache per token depends on the model's architecture and is not modelled here.
The numbers for this pairing
At Q4_K_M the weights take about 8.3 GiB; with the 1.5 GiB we set aside for the runtime that is 9.8 of the card's 24 GB, leaving about 14.2 GB for the context cache.
The highest-quality version that fits entirely in memory is Q8_0.
The cheapest card on our list that runs it comfortably at Q4 is the Arc B580 at about $330, against about $3,300 for this card.
At about $3,300, this card costs roughly $137 per GB of VRAM.
Running it at its full 450 W board power for 4 hours a day would use about 54 kWh a month, about $9.94 at the US average residential rate of 18.4 cents per kWh (2026-05); real use sits below that ceiling.
Prices are the lowest current listings our tracker saw on Oct 7, 2026, since averages include premium variants; launch prices are marked where we have no listing.
Good match. Get the card.
The GeForce RTX 4090 (used) clears Qwen3 14B at Q4_K_M and at Q8_0. Live listings below; this page was rebuilt 2026-10-07.
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About the model
Qwen3 14B by Alibaba Qwen: 32,768-token native context, text, released 2025 under the Apache-2.0. Model card → · Hosted pricing on PicksByModel →