Card × model benchmark
Qwen3.5 9B on RTX 5070 Ti Q4_K_M
SmoothOn an RTX 5070 Ti (16 GB), Qwen3.5 9B in Q4_K_M generates 125 tokens/s and reads the prompt at 5 396 tokens/s, using 7,1 Go of video memory.
Median of 1 run · latest on 25/09/26
125 tok/s
Generation
5 396 tok/s
Prompt processing
7,1 Go
VRAM used (peak)
152 W
Average power
0,83 tok/s/W
Efficiency
0,08 €/M tok
Electricity / M tokens · 0,25 €/kWh
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What about a longer context?
An estimate, not a measurement: the KV cache grows with context, takes VRAM and slows generation down.
| Context | KV cache | Estimated VRAM | Fits in 16 GB? | Estimated speed |
|---|---|---|---|---|
| 4 096 | 0,1 Go | 7,2 Go | yes | ≈ 123 tok/s |
| 8 192 | 0,3 Go | 7,3 Go | yes | ≈ 121 tok/s |
| 16 384 | 0,5 Go | 7,6 Go | yes | ≈ 116 tok/s |
| 32 768 | 1,0 Go | 8,1 Go | yes | ≈ 108 tok/s |
| 65 536 | 2,0 Go | 9,1 Go | yes | ≈ 95,0 tok/s |
| 131 072 | 4,0 Go | 11,1 Go | yes | ≈ 76,3 tok/s |
KV cache per token = 2 × 8 layers × 4 KV heads × 256 × 2 bytes (f16). Estimated VRAM = measured VRAM + added KV cache. Speed ≈ measured speed × weights ÷ (weights + added KV cache) — attention compute is not modelled, the real drop is slightly larger. Fine-tune it in the “Configurator”
Other models measured on the RTX 5070 Ti
All measurements
| Date | Source | Type | Generation | Prompt | VRAM | Max temp. | Power | llama.cpp |
|---|---|---|---|---|---|---|---|---|
| 25/09/26 | French_Girl_13 | context 32 768MSI Gaming X Trio | 107 | 3 904 | 7,9 Go | 65 °C | 211 W | llama.cpp 96278e39f |
| 25/09/26 | French_Girl_13 | context 16 384MSI Gaming X Trio | 116 | 4 728 | 7,4 Go | 64 °C | 192 W | llama.cpp 96278e39f |
| 25/09/26 | French_Girl_13 | context 8 192MSI Gaming X Trio | 121 | 5 012 | 7,1 Go | 60 °C | 176 W | llama.cpp 96278e39f |
| 25/09/26 | French_Girl_13 | standardMSI Gaming X Trio | 125 | 5 396 | 7,1 Go | 60 °C | 152 W | llama.cpp 96278e39f |
Protocol: llama-bench (llama.cpp), prompt 512 + generation 128 tokens, model fully loaded in VRAM. VRAM used = system peak (includes the OS, ~0.5 to 1 GB more than the model alone). Measure my card