Card × model benchmark

Qwen3 14B on RTX 5070 Ti Q4_K_M

Smooth

On an RTX 5070 Ti (16 GB), Qwen3 14B in Q4_K_M generates 84,8 tokens/s and reads the prompt at 3 849 tokens/s, using 9,6 Go of video memory.

Median of 1 run · latest on 25/09/26

84,8 tok/s

Generation

3 849 tok/s

Prompt processing

9,6 Go

VRAM used (peak)

165 W

Average power

0,51 tok/s/W

Efficiency

0,14 €/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.

ContextKV cacheEstimated VRAMFits in 16 GB?Estimated speed
4 0960,6 Go10,2 Goyes≈ 80,1 tok/s
8 1921,3 Go10,8 Goyes≈ 75,2 tok/s
16 3842,5 Go12,0 Goyes≈ 66,9 tok/s
32 7685,0 Go14,5 Goyes≈ 54,9 tok/s

KV cache per token = 2 × 40 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

Qwen2.5 Coder 0.5B Q4_K_M 805 tok/sQwen2.5 0.5B Q4_K_M 803 tok/sQwen3 0.6B Q4_K_M 728 tok/sQwen3.5 0.8B Q4_K_M 514 tok/sQwen2.5 1.5B Q4_K_M 481 tok/sQwen2.5 Coder 1.5B Q4_K_M 481 tok/sQwen3 1.7B Q4_K_M 456 tok/sQwen3.5 2B Q4_K_M 394 tok/sQwen2.5 Coder 3B Q4_K_M 305 tok/sQwen2.5 3B Q4_K_M 305 tok/sLlama 3.2 3B Instruct Q4_K_M 283 tok/sQwen3 4B Q4_K_M 225 tok/sQwen3 2507 4B Q4_K_M 224 tok/sQwen3.5 4B Q4_K_M 196 tok/sQwen2.5 7B Instruct Q4_K_M 162 tok/sQwen2.5 Coder 7B Q4_K_M 162 tok/sMeta Llama 3.1 8B Instruct Q4_K_M 151 tok/sQwen3 8B Q4_K_M 146 tok/sQwen3.5 9B Q4_K_M 125 tok/sQwen2.5 Coder 14B Q4_K_M 81,9 tok/sDeepSeek R1 Distill Qwen 14B Q4_K_M 81,5 tok/sQwen2.5 14B Instruct Q4_K_M 82,4 tok/sPhi-4 Q4_K_M 84,9 tok/s

All measurements

DateSourceTypeGenerationPromptVRAMMax temp.Powerllama.cpp
25/09/26French_Girl_13context 32 768MSI Gaming X Trio54,61 42114,7 Go70 °C222 Wllama.cpp 96278e39f
25/09/26French_Girl_13context 16 384MSI Gaming X Trio66,12 18812,2 Go70 °C206 Wllama.cpp 96278e39f
25/09/26French_Girl_13context 8 192MSI Gaming X Trio73,42 77610,9 Go68 °C199 Wllama.cpp 96278e39f
25/09/26French_Girl_13standardMSI Gaming X Trio84,83 8499,6 Go64 °C165 Wllama.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