NVIDIA GeForce RTX 5060 Ti 16GB — Local LLM Performance & Compatibility

Name: LLM Configurator — GPU VRAM Checker
Author: LLM Configurator

作者： Jakub Rusinowski · 最后更新： 2026年7月12日

The most affordable 16 GB Blackwell card. 180W TDP keeps power draw low while fitting all 13–14B models comfortably.

Technical Specifications

VRAM	16 GB
Memory Bandwidth	448 GB/s
TDP	180 W
Architecture	Blackwell GB206
Release Year	2025
MSRP at Launch	$429
Inference Speed (Llama 3.1 8B Q4_K_M)	40–83 tok/s (estimated)
Inference Speed (Llama 3.3 70B Q4_K_M)	Does not fit — needs ~44 GB of 16 GB usable

购买此硬件 NVIDIA GeForce RTX 5060 Ti 16GB — 16 GB VRAM · 180 W board power 立即云端部署 RunPod 上的 RTX 4090 — 低至 $0.34/小时 · 价格核实于 2026-07

或在 Vast.ai 比较，低至 $0.35/小时 (typical low · varies)

作为亚马逊联盟成员，我们从符合条件的购买中获得收入。云 GPU 链接为推荐链接——我们可能获得佣金，您无需额外付费。

联盟营销声明: 本页部分链接为联盟推广链接——如果你通过它们购买，LLM Configurator 可能会获得佣金，而你无需支付任何额外费用。作为亚马逊联盟成员（Amazon Associate），LLM Configurator 会从符合条件的购买中获得收益。

NVIDIA GeForce RTX 5060 Ti 16GB

16 GB VRAM · 180 W board power

2026年价格波动较大——请以当前商品页价格为准。

在亚马逊查看价格

LLMs Compatible with 16 GB VRAM

All models below run comfortably in 16 GB VRAM with Q4_K_M quantization.

Mistral Family	Mistral Small 3 (24B) · 15 GB VRAM · Q4_K_M · `ollama run mistral-small`
Magistral Small	Magistral Small 24B · 15 GB VRAM · Q4_K_M · `ollama run magistral:24b`
Mistral Small 3.1	Mistral Small 3.1 24B · 15 GB VRAM · Q4_K_M · `ollama run mistral-small3.1`
Mistral Small 3.2	Mistral Small 3.2 24B · 15 GB VRAM · Q4_K_M · `ollama run mistral-small:24b`
Codestral	Codestral 22B · 14 GB VRAM · Q4_K_M · `ollama run codestral:22b`
EuroLLM	EuroLLM 22B · 14 GB VRAM · Q4_K_M · eurollm
InternLM 3	InternLM 3 20B Instruct · 13 GB VRAM · Q4_K_M · `ollama run internlm3:20b`
StarCoder 2	StarCoder 2 15B · 10 GB VRAM · Q4_K_M · `ollama run starcoder2:15b`

42 more families also fit 16 GB — browse the full model library.

Best Use Cases

14B models
budget 16GB Blackwell
efficient

Quick Start with Ollama

Install Ollama then run the recommended model for this GPU:

ollama run qwen3:14b

FAQ

Can the NVIDIA GeForce RTX 5060 Ti 16GB run local LLMs?

Yes — the NVIDIA GeForce RTX 5060 Ti 16GB has 16 GB VRAM and runs The most affordable 16 GB Blackwell card. 180W TDP keeps power draw low while fitting all 13–14B models comfortably.

How fast is the NVIDIA GeForce RTX 5060 Ti 16GB for AI inference?

The NVIDIA GeForce RTX 5060 Ti 16GB is estimated to run Llama 3.1 8B at 40–83 tok/s with Q4_K_M quantization. Llama 3.3 70B does not fit: it needs about 44 GB against 16 GB usable. These are modelled estimates, not measurements — see /en/methodology.

What LLMs can I run on 16 GB VRAM?

With 16 GB you can run: Mistral Family, Magistral Small, Mistral Small 3.1, Mistral Small 3.2, Codestral. Use Ollama for the easiest setup: ollama run qwen3:14b.

Can I Run It? — NVIDIA GeForce RTX 5060 Ti 16GB

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VRAM Tier

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Buying Guide

Best GPU Buyer Guide 2026

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