Card × model benchmark
Qwen2.5 Coder 7B on RTX 5070 Ti Q4_K_M
SmoothOn an RTX 5070 Ti (16 GB), Qwen2.5 Coder 7B in Q4_K_M generates 162 tokens/s and reads the prompt at 7 492 tokens/s, using 5,9 Go of video memory.
Median of 1 run · latest on 25/09/26
162 tok/s
Generation
7 492 tok/s
Prompt processing
5,9 Go
VRAM used (peak)
138 W
Average power
1,17 tok/s/W
Efficiency
0,06 €/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 | 0,2 Go | 6,1 Go | yes | ≈ 156 tok/s |
| 8 192 | 0,4 Go | 6,3 Go | yes | ≈ 149 tok/s |
| 16 384 | 0,9 Go | 6,7 Go | yes | ≈ 137 tok/s |
| 32 768 | 1,8 Go | 7,6 Go | yes | ≈ 119 tok/s |
KV cache per token = 2 × 28 layers × 4 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”
Qwen2.5 Coder 7B on other cards
| Card | VRAM | Generation | Difference | Price |
|---|---|---|---|---|
| RTX 5070 Ti | 16 Go | 162 tok/s | this card | — |
| RTX 4070 Ti | 12 Go | 96,7 tok/s | −40,3 % | — |
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 | 117 | 3 433 | 7,4 Go | 68 °C | 215 W | llama.cpp 96278e39f |
| 25/09/26 | French_Girl_13 | context 16 384MSI Gaming X Trio | 136 | 4 934 | 6,6 Go | 66 °C | 194 W | llama.cpp 96278e39f |
| 25/09/26 | French_Girl_13 | context 8 192MSI Gaming X Trio | 147 | 5 941 | 6,3 Go | 60 °C | 183 W | llama.cpp 96278e39f |
| 25/09/26 | French_Girl_13 | standardMSI Gaming X Trio | 162 | 7 492 | 5,9 Go | 58 °C | 138 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