Card × model benchmark

Phi-4 on RTX 4070 Ti Q4_K_M

Comfortable

On an RTX 4070 Ti (12 GB), Phi-4 in Q4_K_M generates 50,8 tokens/s and reads the prompt at 3 442 tokens/s, using 9,2 Go of video memory.

Median of 1 run · latest on 25/09/26

50,8 tok/s

Generation

3 442 tok/s

Prompt processing

9,2 Go

VRAM used (peak)

171 W

Average power

0,30 tok/s/W

Efficiency

0,23 €/M tok

Electricity / M tokens · 0,25 €/kWh

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RTX 4070 Ti pageAll cards on Phi-4Feel the speed Rent in the cloud

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≈ 47,3 tok/s
8 1921,6 Go10,6 Goyes≈ 43,8 tok/s
16 3843,1 Go12,2 Gono—

KV cache per token = 2 × 40 layers × 10 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”

Phi-4 on other cards

CardVRAMGenerationDifferencePrice
RTX 5070 Ti16 Go84,9 tok/s+67,2 %—
RTX 4070 Ti12 Go50,8 tok/sthis card—

Other models measured on the RTX 4070 Ti

Llama 3.2 3B Instruct Q4_K_M 189 tok/sQwen2.5 7B Instruct Q4_K_M 98,8 tok/sQwen2.5 Coder 7B Q4_K_M 96,7 tok/sMeta Llama 3.1 8B Instruct Q4_K_M 91,9 tok/sQwen2.5 14B Instruct Q4_K_M 50,5 tok/sDeepSeek R1 Distill Qwen 14B Q4_K_M 51,1 tok/sQwen2.5 Coder 14B Q4_K_M 50,3 tok/s

All measurements

DateSourceTypeGenerationPromptVRAMMax temp.Powerllama.cpp
25/09/26SephiGamecontext 16 384ASUS ROG Strix4,592,811,6 Go51 °C76 Wllama.cpp 96278e39f
25/09/26SephiGamecontext 8 192ASUS ROG Strix43,02 72910,8 Go67 °C192 Wllama.cpp 96278e39f
25/09/26SephiGamestandardASUS ROG Strix50,83 4429,2 Go66 °C171 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