Card × model benchmark

Qwen2.5 Coder 14B on RTX 4070 Ti Q4_K_M

Comfortable

On an RTX 4070 Ti (12 GB), Qwen2.5 Coder 14B in Q4_K_M generates 50,3 tokens/s and reads the prompt at 3 239 tokens/s, using 9,3 Go of video memory.

Median of 1 run · latest on 25/09/26

50,3 tok/s

Generation

3 239 tok/s

Prompt processing

9,3 Go

VRAM used (peak)

167 W

Average power

0,30 tok/s/W

Efficiency

0,23 €/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 12 GB?Estimated speed
4 0960,8 Go9,9 Goyes≈ 47,0 tok/s
8 1921,5 Go10,6 Goyes≈ 43,6 tok/s
16 3843,0 Go12,1 Gono—
32 7686,0 Go15,1 Gono—

KV cache per token = 2 × 48 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”

Qwen2.5 Coder 14B on other cards

CardVRAMGenerationDifferencePrice
RTX 5070 Ti16 Go81,9 tok/s+62,9 %—
RTX 4070 Ti12 Go50,3 tok/sthis card—

Other models measured on the RTX 4070 Ti

Gemma 3 270M Q4_K_M 728 tok/sLlama 3.2 1B Q4_K_M 442 tok/sR1 Distill 1.5B Qwen Q4_K_M 328 tok/sGemma 2 2B Q4_K_M 202 tok/sLlama 3.2 3B Instruct Q4_K_M 189 tok/sGemma 3n E2B Q4_K_M 163 tok/sGemma 4 E2B Q4_K_M 198 tok/sGemma 3n E4B Q4_K_M 107 tok/sQwen2.5 7B Instruct Q4_K_M 98,8 tok/sR1 Distill 7B Qwen Q4_K_M 97,6 tok/sQwen2.5 Coder 7B Q4_K_M 96,7 tok/sMeta Llama 3.1 8B Instruct Q4_K_M 91,9 tok/sR1 0528 (Qwen3) 8B Q4_K_M 90,1 tok/sGemma 4 E4B Q4_K_M 114 tok/sGemma 2 9B Q4_K_M 72,1 tok/sGemma 4 12B Q4_K_M 53,8 tok/sQwen2.5 14B Instruct Q4_K_M 50,5 tok/sDeepSeek R1 Distill Qwen 14B Q4_K_M 51,1 tok/sPhi-4 Q4_K_M 50,8 tok/sCoder V2 Lite 16B-A2.4B Q4_K_M 189 tok/s

All measurements

DateSourceTypeGenerationPromptVRAMMax temp.Powerllama.cpp
25/09/26SephiGamecontext 32 768ASUS ROG Strix2,015,111,6 Go50 °C66 Wllama.cpp 96278e39f
25/09/26SephiGamecontext 16 384ASUS ROG Strix27,816511,6 Go56 °C97 Wllama.cpp 96278e39f
25/09/26SephiGamecontext 8 192ASUS ROG Strix42,52 14910,8 Go68 °C182 Wllama.cpp 96278e39f
25/09/26SephiGamestandardASUS ROG Strix50,33 2399,3 Go60 °C167 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