On an RTX 4070 Ti (12 GB), Phi-4 reasoning mini 3.8B in Q4_K_M needs about 3,8 Go of video memory: it should fit. Estimated generation speed: ≈ 159 tokens/s.
Not measured yet: the figures below are estimates, computed from the models already measured on this card. Measure my card
≈ 159 tok/s
Generation (estimated)
≥ 3,8 Go
Recommended VRAM (12 GB avail.)
≈ 137 W
Power (ref. model)
0,06 €/M tok
Electricity / M tokens · 0,25 €/kWh
Calculation: Phi-4 mini 3.8B measured at 159 tok/s on this card, 2,3 Go read per token → × 2,3 Go ÷ 2,3 Go ≈ 159 tok/s (generation is memory-bound: speed follows the amount of weights read).
What about a longer context?
Context
KV cache
Estimated VRAM
Fits in 12 GB?
Estimated speed
4 096
0,5 Go
3,3 Go
yes
≈ 134 tok/s
8 192
1,0 Go
3,8 Go
yes
≈ 114 tok/s
16 384
2,0 Go
4,8 Go
yes
≈ 86,9 tok/s
32 768
4,0 Go
6,8 Go
yes
≈ 59,0 tok/s
65 536
8,0 Go
10,8 Go
yes
≈ 36,0 tok/s
131 072
16,0 Go
18,8 Go
no
—
Estimated VRAM = file + KV cache (full-attention layers, f16) + ~0,5 Go of buffers, excluding memory used by the system — hence the slightly higher “recommended VRAM”, which keeps that margin. Speed ≈ estimated speed × weights read ÷ (weights read + added KV cache).
Estimates based on real measurements of other models on this card and on the model's public data (Microsoft Phi). As soon as a measurement exists, this page shows the real figures.