Phi-4 14B on NVIDIA GeForce RTX 4060 Ti 16GB
NVIDIA GeForce RTX 4060 Ti 16GB handles Phi-4 14B well at 28 tok/s at Q4_K_M. A solid choice for this model.
Model Size
14.7B
Device VRAM
16 GB
Bandwidth
288 GB/s
Quantizations Tested
1
Performance by Quantization
Each row shows Phi-4 14B performance at a different quality level on NVIDIA GeForce RTX 4060 Ti 16GB.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q4_K_M | 28 tok/s | 260ms | ✓ Yes | Good | estimated |
Notes
Q4_K_M
14B at Q4 fits on 16GB. Good reasoning model for mid-range.
About Phi-4 14B
Phi-4 14B (14.7B) is a reasoning, coding, chat model. Microsoft's efficient reasoning and coding model with strong performance per parameter.
View all Phi-4 14B hardware options →About NVIDIA GeForce RTX 4060 Ti 16GB
NVIDIA GeForce RTX 4060 Ti 16GB has 16 GB at 288 GB/s. Street price: $449.
See all models NVIDIA GeForce RTX 4060 Ti 16GB can run →Builds with NVIDIA GeForce RTX 4060 Ti 16GB

Budget Home AI Server
NVIDIA GeForce RTX 4060 Ti 16GB · 32GB DDR5-5200 (2x16GB)

Mid-Range AI Workstation
NVIDIA GeForce RTX 4060 Ti 16GB · 32GB DDR5-5600 (2x16GB)

Silent Mini-ITX AI Box
NVIDIA GeForce RTX 4060 Ti 16GB · 32GB DDR5-5600 (2x16GB)
Source: Community benchmarks and estimated performance (2026-03-01)
Data last updated: 2026-03-15