Phi-4 Mini on NVIDIA GeForce RTX 4080 Super
NVIDIA GeForce RTX 4080 Super runs Phi-4 Mini excellently at 130 tok/s at Q8_0. This is a strong pairing.
Model Size
3.82B
Device VRAM
16 GB
Bandwidth
736 GB/s
Quantizations Tested
1
Performance by Quantization
Each row shows Phi-4 Mini performance at a different quality level on NVIDIA GeForce RTX 4080 Super.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | 130 tok/s | 33ms | ✓ Yes | Excellent | estimated |
Notes
Q8_0
736 GB/s. Phi-4 mini at full Q8 quality.
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 4080 Super
NVIDIA GeForce RTX 4080 Super has 16 GB at 736 GB/s. Street price: $979.
See all models NVIDIA GeForce RTX 4080 Super can run →Source: Performance estimates based on model size and device bandwidth (2026-03-15)
Data last updated: 2026-03-15