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

Both run the same 28 of 69 models well. On models that fit both, the RTX 5060 Ti 16GB should be about 56% faster, because generation speed follows memory bandwidth (448 vs 288 GB/s).

NVIDIA RTX 4060 Ti 16GB

  • 16 GB VRAM
  • 288 GB/s bandwidth
  • 28/69 models run well
  • $499 at launch

NVIDIA RTX 5060 Ti 16GB

  • 16 GB VRAM
  • 448 GB/s bandwidth
  • 28/69 models run well
  • $429 at launch

Prices are US launch prices (MSRP) for comparison; street prices change daily. Links go to Amazon, where we earn a commission at no cost to you.

Every model, side by side

Best quant that fits and estimated speed at 8K context.

ModelRTX 4060 Ti 16GBRTX 5060 Ti 16GB
Qwen3 0.6BFP16 · ~115 tok/sFP16 · ~179 tok/s
Gemma 3 1BFP16 · ~86 tok/sFP16 · ~134 tok/s
Llama 3.2 1BFP16 · ~70 tok/sFP16 · ~108 tok/s
Qwen3 1.7BFP16 · ~43 tok/sFP16 · ~66 tok/s
Llama 3.2 3BFP16 · ~27 tok/sFP16 · ~42 tok/s
Phi-3.5 Mini 3.8BFP16 · ~23 tok/sFP16 · ~35 tok/s
Phi-4 Mini 3.8BFP16 · ~23 tok/sFP16 · ~35 tok/s
Qwen3 4BFP16 · ~21 tok/sFP16 · ~33 tok/s
Gemma 3 4BFP16 · ~20 tok/sFP16 · ~31 tok/s
Mistral 7B v0.3Q8_0 · ~22 tok/sQ8_0 · ~35 tok/s
Qwen2.5 7BQ8_0 · ~21 tok/sQ8_0 · ~33 tok/s
Qwen2.5 Coder 7BQ8_0 · ~21 tok/sQ8_0 · ~33 tok/s
DeepSeek R1 Distill Qwen 7BQ8_0 · ~21 tok/sQ8_0 · ~33 tok/s
Llama 3.1 8BQ8_0 · ~20 tok/sQ8_0 · ~32 tok/s
Granite 3.3 8BQ8_0 · ~20 tok/sQ8_0 · ~31 tok/s
Qwen3 8BQ8_0 · ~20 tok/sQ8_0 · ~31 tok/s
DeepSeek R1 0528 Qwen3 8BQ8_0 · ~20 tok/sQ8_0 · ~31 tok/s
Gemma 2 9BQ8_0 · ~18 tok/sQ8_0 · ~27 tok/s
Gemma 4 12BQ8_0 · ~14 tok/sQ8_0 · ~21 tok/s
Mistral Nemo 12BQ8_0 · ~13 tok/sQ8_0 · ~21 tok/s
Gemma 3 12BQ8_0 · ~13 tok/sQ8_0 · ~21 tok/s
Qwen2.5 14BQ6_K · ~14 tok/sQ6_K · ~22 tok/s
Phi-4 14BQ6_K · ~14 tok/sQ6_K · ~22 tok/s
Phi-4 Reasoning 14BQ6_K · ~14 tok/sQ6_K · ~22 tok/s
Qwen3 14BQ6_K · ~14 tok/sQ6_K · ~22 tok/s
Qwen2.5 Coder 14BQ6_K · ~14 tok/sQ6_K · ~22 tok/s
DeepSeek R1 Distill Qwen 14BQ6_K · ~14 tok/sQ6_K · ~22 tok/s
gpt-oss 20BQ5_K_M · ~67 tok/sQ5_K_M · ~105 tok/s
Mistral Small 24BQ3_K_M · ~15 tok/sQ3_K_M · ~23 tok/s
Devstral Small 24BQ3_K_M · ~15 tok/sQ3_K_M · ~23 tok/s
Magistral Small 24BQ3_K_M · ~15 tok/sQ3_K_M · ~23 tok/s
Mistral Small 3.2 24BQ3_K_M · ~15 tok/sQ3_K_M · ~23 tok/s
Gemma 4 26B-A4BQ3_K_M · ~93 tok/sQ3_K_M · ~145 tok/s
Gemma 2 27BQ2_K · ~17 tok/sQ2_K · ~26 tok/s
Gemma 3 27BQ3_K_M · ~13 tok/sQ3_K_M · ~20 tok/s
Qwen3.8 27BQ3_K_M · ~13 tok/sQ3_K_M · ~20 tok/s
Qwen3.6 27BQ3_K_M · ~13 tok/sQ3_K_M · ~20 tok/s
Qwen3 30B-A3BQ2_K · ~140 tok/sQ2_K · ~217 tok/s
Qwen3 Coder 30B-A3BQ2_K · ~140 tok/sQ2_K · ~217 tok/s
GLM-4.7 Flash 30B-A3BQ2_K · ~154 tok/sQ2_K · ~239 tok/s
Gemma 4 31BQ2_K · ~15 tok/sQ2_K · ~23 tok/s
Nemotron 3 Nano 30B-A3BQ2_K · ~132 tok/sQ2_K · ~205 tok/s
Qwen2.5 32BQ2_K · ~14 tok/sQ2_K · ~22 tok/s
DeepSeek R1 Distill Qwen 32BQ2_K · ~14 tok/sQ2_K · ~22 tok/s
Qwen3 32BQ2_K · ~14 tok/sQ2_K · ~22 tok/s
QwQ 32BQ2_K · ~14 tok/sQ2_K · ~22 tok/s
Qwen2.5 Coder 32BQ2_K · ~14 tok/sQ2_K · ~22 tok/s
Qwen3.6 35B-A3BQ2_K · ~154 tok/sQ2_K · ~239 tok/s
Mixtral 8x7BToo bigToo big
Llama 3.1 70BToo bigToo big
Llama 3.3 70BToo bigToo big
DeepSeek R1 Distill Llama 70BToo bigToo big
Qwen2.5 72BToo bigToo big
Qwen3 Coder Next 80B-A3BToo bigToo big
GLM-4.5-Air 106B-A12BToo bigToo big
Llama 4 Scout 17B-16EToo bigToo big
gpt-oss 120BToo bigToo big
Qwen3.8 Flash NextToo bigToo big
Qwen3 235B-A22BToo bigToo big
DeepSeek V4 Flash 284B-A13BToo bigToo big
GLM-5.3 Flash 320B-A18BToo bigToo big
MiniMax M3 428B-A23BToo bigToo big
GLM-5 744B-A40BToo bigToo big
GLM-5.3Too bigToo big
DeepSeek V4.1 FlashToo bigToo big
Mistral Large 4 1T-A52BToo bigToo big
DeepSeek V4 Pro 1.6T-A49BToo bigToo big
Qwen3.8 2.4T-A95BToo bigToo big
Kimi K3.1 Pro 2.8T-A104BToo bigToo big