Can the GeForce RTX 5070 Ti run Phi-4 (14B)?
Fits comfortably at Q4_K_M.
Phi-4 (14B) is 14.7B parameters. At Q4_K_M the weights are about 8.2 GiB; with the 1.5 GiB runtime reserve that is 9.7 GiB against the card's 16GB, leaving about 6.3 GiB for context.
All three quants
16GB card| Quant | Weights | With reserve | Verdict | Headroom |
|---|---|---|---|---|
| Q4_K_Mthe everyday quant | 8.2 GiB | 9.7 GiB | Fits comfortably | 6.3 GiB |
| Q8_0near-lossless | 14.5 GiB | 16.0 GiB | Only with CPU offload | short 0.0 GiB |
| FP16full weights | 27.4 GiB | 28.9 GiB | Only with CPU offload | short 12.9 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 8.2 GiB; with the 1.5 GiB we set aside for the runtime that is 9.7 of the card's 16 GB, leaving about 6.3 GB for the context cache.
The cheapest card on our list that runs it comfortably at Q4 is the Arc B580 at about $330, 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.
Good match. Get the card.
The GeForce RTX 5070 Ti clears Phi-4 (14B) at Q4_K_M. Live listings below; this page was rebuilt 2026-10-07.
Amazon links may earn us a commission. Prices move daily; the links open live listings.
About the model
Phi-4 (14B) by Microsoft: 16,384-token native context, text, released 2024 under the MIT. Model card → · Hosted pricing on PicksByModel →