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Run LLM Locally

RTX 4060 Ti 16 GB vs RTX 5060 Ti 16 GB for local LLMs

VRAM decides which models fit entirely on the GPU; bandwidth decides how fast they generate. Here is how the two cards compare.

Which one for local LLMs?

Both cards have 16 GB of VRAM, so the same models fit on both.

The RTX 5060 Ti 16 GB has the higher memory bandwidth (448 GB/s vs 288 GB/s), so it should generate faster when a model fits on both.

RTX 4060 Ti 16 GB · Specifications

VRAM
16 GB GDDR6
Bandwidth
288 GB/s
Board power
165 W
Architecture
Ada Lovelace
Largest model fully in VRAM
gpt-oss-20b

Official specData updated 38 days agoSource: NVIDIA specifications

RTX 5060 Ti 16 GB · Specifications

VRAM
16 GB GDDR7
Bandwidth
448 GB/s
Board power
180 W
Architecture
Blackwell
Largest model fully in VRAM
gpt-oss-20b

Official specData updated 38 days agoSource: NVIDIA specifications

Popular models on each card
ModelRTX 4060 Ti 16 GBRTX 5060 Ti 16 GB
Qwen3 32BPossible but slow2.5–4.5 tok/sCPU/GPU offload2.5–5 tok/s
gpt-oss-20bExcellent82–91 tok/sExcellent96–117 tok/s
Qwen3 30B-A3BCPU/GPU offload23–43 tok/sCPU/GPU offload25–49 tok/s
Llama 3.1 8B InstructExcellent38–50 tok/sExcellent57–77 tok/s
Qwen3 14BExcellent22–29 tok/sExcellent33–44 tok/s
Qwen3 8BExcellent36–49 tok/sExcellent54–74 tok/s
Llama 3.3 70B InstructNot recommended0.6–1.2 tok/sNot recommended0.7–1.3 tok/s
Gemma 3 27B ITCPU/GPU offload4.5–8.5 tok/sCPU/GPU offload5.5–10 tok/s

For each model, the highest-precision quantization that runs entirely in fast memory; otherwise the one with the best result. Speeds are ranges; "estimate" unless a benchmark exists for this exact hardware.

EstimateData updated 38 days agoSource: Run LLM Locally engine