The RTX 5060 Ti brings GDDR7 memory and Blackwell architecture to the budget segment. At 51 tokens per second with 8B models, it outperforms the older 4060 Ti by 50% while offering the same 16GB VRAM capacity for 14B models.
16GB GDDR7 at 448 GB/s gives the 5060 Ti a significant advantage over the 4060 Ti. The same 14B models that crawl at 34 tok/s on the older card now run at 51 tok/s. You can load DeepSeek-R1 14B or Qwen 2.5 14B with 5-6GB to spare for KV cache. GDDR7 also improves batch throughput, making the 5060 Ti viable for light multi-user serving.
| GPU | VRAM | Speed | Bandwidth | Price |
|---|---|---|---|---|
| RTX 3060 | 12 GB | 42 tok/s | 360 GB/s | $250 |
| RTX 4060 Ti | 16 GB | 34 tok/s | 288 GB/s | $409 |
| RTX 5060 Ti | 16 GB | 51 tok/s | 448 GB/s | $430 |
| RTX 5070 | 12 GB | 59 tok/s | 672 GB/s | $579 |
Llama / 8B / Q4_K_M / ~6.5 GB
Best for: Chat, Coding·Pop: 94/100
Perf: ~51.0 tok/s · first token ~0.4s
Fits in 16 GB VRAM with room to spare. Best for chat, coding on RTX 5060 Ti.
ollama run llama3.1:8b-instruct-q4_K_M
Qwen / 9B / Q4_K_M / ~7 GB
Best for: Quality, Coding, Reasoning·Pop: 86/100
Perf: ~46.1 tok/s · first token ~0.4s
Fits in 16 GB VRAM with room to spare. Best for quality, coding, reasoning on RTX 5060 Ti.
ollama run qwen3.5:9b-instruct-q4_K_M
Qwen / 8B / Q4_K_M / ~6.5 GB
Best for: Chat, Coding·Pop: 88/100
Perf: ~51.0 tok/s · first token ~0.4s
Fits in 16 GB VRAM with room to spare. Best for chat, coding on RTX 5060 Ti.
ollama run qwen3:8b-q4_K_M
Mistral / 7B / Q4_K_M / ~5.5 GB
Best for: Chat, Coding·Pop: 90/100
Perf: ~57.1 tok/s · first token ~0.4s
Fits in 16 GB VRAM with room to spare. Best for chat, coding on RTX 5060 Ti.
ollama run mistral:7b-instruct-q4_K_M
Qwen / 7B / Q4_K_M / ~5.5 GB
Best for: Coding·Pop: 85/100
Perf: ~57.1 tok/s · first token ~0.4s
Fits in 16 GB VRAM with room to spare. Best for coding on RTX 5060 Ti.
ollama run qwen2.5-coder:7b-q4_K_M
Qwen / 7B / Q4_K_M / ~5.5 GB
Best for: Chat, Coding·Pop: 86/100
Perf: ~57.1 tok/s · first token ~0.4s
Fits in 16 GB VRAM with room to spare. Best for chat, coding on RTX 5060 Ti.
ollama run qwen2.5:7b-instruct-q4_K_M
LFM2 / 8B / Q4_K_M / ~6 GB
Best for: Local agents, tool calling, fast chat·Pop: 75/100
Perf: ~51.0 tok/s · first token ~0.4s
Fits in 16 GB VRAM with room to spare. Best for local agents, tool calling, fast chat on RTX 5060 Ti.
ollama run liquidai/lfm2:8b-a1b-instruct-q4_K_M
DeepSeek / 7B / Q4_K_M / ~5.5 GB
Best for: Reasoning, Coding·Pop: 77/100
Perf: ~57.1 tok/s · first token ~0.4s
Fits in 16 GB VRAM with room to spare. Best for reasoning, coding on RTX 5060 Ti.
ollama run deepseek-r1-distill:qwen-7b-q4_K_M
Llama / 8B / Q5_K_M / ~8 GB
Best for: Chat, Coding·Pop: 82/100
Perf: ~43.9 tok/s · first token ~0.4s
Fits in 16 GB VRAM with room to spare. Best for chat, coding on RTX 5060 Ti.
ollama run llama3.1:8b-instruct-q5_K_M
Gemma / 9B / Q4_K_M / ~7 GB
Best for: Chat, Coding·Pop: 81/100
Perf: ~46.1 tok/s · first token ~0.4s
Fits in 16 GB VRAM with room to spare. Best for chat, coding on RTX 5060 Ti.
ollama run gemma2:9b-instruct-q4_K_M
Alibaba Cloud — Widest size range (0.5B to 235B)
LlamaMeta — Most popular open-weight model family
DeepSeekDeepSeek AI — Best-in-class reasoning with R1 models
MistralMistral AI — Excellent performance-per-parameter ratio
GemmaGoogle DeepMind — Excellent quality at small sizes (1B-9B)
PhiMicrosoft — Best quality-per-parameter in small sizes
The RTX 5060 Ti has 16GB GDDR7 VRAM with 448 GB/s bandwidth. About 15.5GB is usable for model loading. The GDDR7 memory is 55% faster than the GDDR6 in the 4060 Ti, directly boosting inference speed.
Up to 14B parameter models at Q4 quantization, same as other 16GB cards. The difference is speed — the 5060 Ti processes tokens 50% faster than the 4060 Ti thanks to GDDR7 bandwidth.
Yes, if you want 14B models. The 5060 Ti offers 4GB more VRAM (16 vs 12GB) and 24% more bandwidth (448 vs 360 GB/s). For 7B-only workloads, the cheaper RTX 3060 is still excellent value.
The RTX 5070 (12GB GDDR7) is faster at 59 tok/s but has 4GB less VRAM. Choose the 5060 Ti for 14B models, or the 5070 for maximum speed with 7B-9B models.
Use our interactive wizard to compare models across Apple Silicon and NVIDIA GPUs.