Phi-4 Mini on NVIDIA GeForce RTX 3090
NVIDIA GeForce RTX 3090 runs Phi-4 Mini excellently at 140 tok/s at Q8_0. This is a strong pairing.
Model Size
3.82B
Device VRAM
24 GB
Bandwidth
936 GB/s
Quantizations Tested
1
Performance by Quantization
Each row shows Phi-4 Mini performance at a different quality level on NVIDIA GeForce RTX 3090.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | 140 tok/s | 32ms | ✓ Yes | Excellent | estimated |
Notes
Q8_0
936 GB/s. Strong Phi-4 mini performance with 19GB headroom.
About Phi-4 Mini
Phi-4 Mini (3.82B) is a chat, coding, ai coding, reasoning model. Microsoft's tiny powerhouse. Punches well above its weight at 3.8B parameters — competitive with many 7B models on reasoning and coding benchmarks. Extremely fast inference. Ideal as a draft model or for resource-constrained setups.
View all Phi-4 Mini hardware options →About NVIDIA GeForce RTX 3090
NVIDIA GeForce RTX 3090 has 24 GB at 936 GB/s. Street price: $899.
See all models NVIDIA GeForce RTX 3090 can run →Builds with NVIDIA GeForce RTX 3090
Extreme AI Workstation
2x NVIDIA GeForce RTX 3090 (Used) · 128GB DDR5-5600 (4x32GB)
High-End Home AI Server
2x NVIDIA GeForce RTX 3090 24GB (Used) + NVLink Bridge · 128GB DDR5-5600 (4x32GB)
Mid-Range Home AI Server
NVIDIA GeForce RTX 3090 24GB (Used) · 64GB DDR5-5600 (2x32GB)
Source: Performance estimates based on model size and device bandwidth (2026-03-15)
Data last updated: 2026-03-15