Phi-3 Medium 14B Instruct on NVIDIA GeForce RTX 4090
NVIDIA GeForce RTX 4090 runs Phi-3 Medium 14B Instruct excellently at 55 tok/s at Q8_0. This is a strong pairing.
Model Size
14B
Device VRAM
24 GB
Bandwidth
1008 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 4090.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | 55 tok/s | 120ms | ✓ Yes | Excellent | estimated |
Notes
Q8_0
Full Q8 at 15.2GB. Excellent for structured output and reasoning tasks.
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 4090
NVIDIA GeForce RTX 4090 has 24 GB at 1008 GB/s. Street price: $1,799.
See all models NVIDIA GeForce RTX 4090 can run →Builds with NVIDIA GeForce RTX 4090
Source: Community benchmarks (2026-01-15)
Data last updated: 2026-03-01