Phi-3 Medium 14B Instruct on NVIDIA GeForce RTX 4060 Ti 16GB
NVIDIA GeForce RTX 4060 Ti 16GB handles Phi-3 Medium 14B Instruct well at 28 tok/s at Q5_K_M. A solid choice for this model.
Model Size
14B
Device VRAM
16 GB
Bandwidth
288 GB/s
Quantizations Tested
1
Performance by Quantization
Each row shows Phi-3 Medium 14B Instruct performance at a different quality level on NVIDIA GeForce RTX 4060 Ti 16GB.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q5_K_M | 28 tok/s | 250ms | ✓ Yes | Good | estimated |
Notes
Q5_K_M
Q5 at 9.7GB fits well on 16GB. Good reasoning model at a size that's practical on mid-range hardware.
About Phi-3 Medium 14B Instruct
Phi-3 Medium 14B Instruct (14B) is a chat, coding, reasoning, multi-purpose model. 14B model with strong reasoning and coding performance. Fits comfortably on 16GB GPUs at Q4 and excels at structured output tasks. MIT license makes it attractive for commercial use.
View all Phi-3 Medium 14B Instruct 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 (2026-01-15)
Data last updated: 2026-03-01