MicrosoftPhi-4 14B on NVIDIA GeForce RTX 4060 Ti 16GB
Yes — RTX 4060 Ti 16GB handles Phi-4 14B well at Q4_K_M — 28 tok/s. Solid daily-driver performance on 16 GB VRAM.
Model Size
14.7B
Device VRAM
16 GB
Bandwidth
288 GB/s
Quantization
Q4_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Phi-4 14B on NVIDIA GeForce RTX 4060 Ti 16GB at Q4_K_M. This is the best supported pairing we can stand behind today.
| 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 high 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.
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Estimate method: Community benchmarks and estimated performance. Reference hardware source: github.com (2026-03-01)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.