vram.run Models Hardware Providers Cloud State of Inference
API provider data is live · Hardware & cloud pricing curated 2026-02-23

GeForce RTX 4060 Ti AD104

NVIDIA

8GB VRAM · 288 GB/s bandwidth · 22.1 FP16 TFLOPS · 160W TDP

The GeForce RTX 4060 Ti AD104 has 8GB of VRAM with 288 GB/s memory bandwidth and 22.1 TFLOPS FP16 compute. At Q4 quantization, it can comfortably run Gemma 3 4B (93 tok/s), Qwen 2.5 7B (49 tok/s), Llama 3.1 8B (46 tok/s). Models larger than ~14B parameters won't fit even at Q4. Electricity cost is approximately $17/month at 160W TDP.

What LLMs can you run?

ModelParamsQ4 WeightFitDecode
Gemma 3 4B4.0B2 GBcomfortable93 tok/s
Qwen 2.5 7B7.6B4 GBcomfortable49 tok/s
Llama 3.1 8B8.0B4 GBcomfortable46 tok/s
Mistral Small 24B24.0B12 GBwon't fit
Gemma 3 27B27.4B14 GBwon't fit
Qwen 2.5 Coder 32B32.5B16 GBwon't fit
Llama 3.3 70B70.6B35 GBwon't fit
Qwen 2.5 72B72.7B36 GBwon't fit
Llama 3.1 405B405B202 GBwon't fit
DeepSeek R1 671B671B336 GBwon't fit

Similar GPUs

GPUVRAMBWTFLOPSTDP
Radeon PRO W76008GB288 GB/s40.0130W
GeForce RTX 4060 Ti 8 GB8GB288 GB/s22.1160W
Radeon RX 74008GB288 GB/s33.043W
Radeon RX 76008GB288 GB/s43.5165W
Radeon RX 7650 GRE8GB288 GB/s44.1165W

Compare with another GPU

Select another GPU to compare specs and model performance side by side.

Install CLI [email protected] Raw data · MIT · API data: live · HW/Cloud data: curated 2026-02-23 · v0.6.0