Card × model benchmark
Qwen3 2507 4B on RTX 5070 Ti Q4_K_M
SmoothOn an RTX 5070 Ti (16 GB), Qwen3 2507 4B in Q4_K_M generates 224 tokens/s and reads the prompt at 11 567 tokens/s, using 3,8 Go of video memory.
Median of 1 run · latest on 25/09/26
224 tok/s
Generation
11 567 tok/s
Prompt processing
3,8 Go
VRAM used (peak)
112 W
Average power
2,00 tok/s/W
Efficiency
0,03 €/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 | 0,6 Go | 4,2 Go | yes | ≈ 189 tok/s |
| 8 192 | 1,1 Go | 4,8 Go | yes | ≈ 159 tok/s |
| 16 384 | 2,3 Go | 5,9 Go | yes | ≈ 120 tok/s |
| 32 768 | 4,5 Go | 8,2 Go | yes | ≈ 81,2 tok/s |
| 65 536 | 9,0 Go | 12,7 Go | yes | ≈ 49,2 tok/s |
| 131 072 | 18,0 Go | 21,7 Go | no | — |
KV cache per token = 2 × 36 layers × 8 KV heads × 128 × 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 | 94,8 | 3 004 | 8,6 Go | 66 °C | 221 W | llama.cpp 96278e39f |
| 25/09/26 | French_Girl_13 | context 16 384MSI Gaming X Trio | 134 | 5 347 | 6,3 Go | 65 °C | 191 W | llama.cpp 96278e39f |
| 25/09/26 | French_Girl_13 | context 8 192MSI Gaming X Trio | 166 | 7 398 | 5,2 Go | 62 °C | 166 W | llama.cpp 96278e39f |
| 25/09/26 | French_Girl_13 | standardMSI Gaming X Trio | 224 | 11 567 | 3,8 Go | 58 °C | 112 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