Can the GeForce RTX 5070 Ti run Qwen3 32B?
Only with CPU offload at Q4_K_M.
Qwen3 32B is 32.8B parameters. At Q4_K_M the weights are about 18.3 GiB; with the 1.5 GiB runtime reserve that is 19.8 GiB against the card's 16GB, about 3.8 GiB more than the card has.
All three quants
16GB card| Quant | Weights | With reserve | Verdict | Headroom |
|---|---|---|---|---|
| Q4_K_Mthe everyday quant | 18.3 GiB | 19.8 GiB | Only with CPU offload | short 3.8 GiB |
| Q8_0near-lossless | 32.4 GiB | 33.9 GiB | Does not fit | short 17.9 GiB |
| FP16full weights | 61.1 GiB | 62.6 GiB | Does not fit | short 46.6 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 18.3 GiB, so with the 1.5 GiB runtime reserve it needs 19.8 GB: 3.8 GB more than the card's 16 GB.
No version of it fits entirely in this card's memory, so it would lean on system RAM and run far slower.
The cheapest card on our list that runs it comfortably at Q4 is the Radeon RX 7900 XTX at about $850, against about $1,120 for this card.
At about $1,120, this card costs roughly $70 per GB of VRAM.
Running it at its full 300 W board power for 4 hours a day would use about 36 kWh a month, about $6.62 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.
Not this card. These fit it comfortably at Q4.
- GeForce RTX 5090 32GB · headroom 12.2 GiB
- GeForce RTX 3090 (used) 24GB · headroom 4.2 GiB
- GeForce RTX 4090 (used) 24GB · headroom 4.2 GiB
- Radeon RX 7900 XTX 24GB · headroom 4.2 GiB
What the GeForce RTX 5070 Ti does run well → · Qwen3 32B on every card →
About the model
Qwen3 32B by Alibaba Qwen: 32,768-token native context, text, released 2025 under the Apache-2.0. Model card → · Hosted pricing on PicksByModel →