AI station / mini-PC
RTX 5060 Ti 16 GB Desktop (16 GB VRAM, 32 GB RAM) — Local LLM Performance
RTX 5060 Ti 16 GB Desktop (16 GB VRAM, 32 GB RAM) is a Desktop running Windows or Linux, with 16 GB VRAM + 32 GB system RAM.
Specifications
- Memory for models
- 16 GB
- Memory bandwidth
- 448 GB/s
- Memory upgradeable
- Yes
- Architecture
- Blackwell GB206
- Form factor
- Desktop
- Operating system
- Windows or Linux
- Released
- 2025
- Llama 3.1 8B Q4_K_M
- 40–83 tok/s
Worth knowing before you buy
- The cheapest current 16 GB card, but its 448 GB/s bandwidth caps generation speed well below a 5080 on the same model.
Models on the RTX 5060 Ti 16 GB desktop
- Yi 1.5 FamilyYes — comfortably
- VibeThinkerYes — comfortably
- Aya 3B (Tiny Aya)Yes — comfortably
- StarCoder 2Yes
- SmolLM3Yes — comfortably
- SmolLM2Yes — comfortably
- Qwen3-CoderYes, but it is tight
- Qwen3.8Yes
- Qwen 3.6Yes
- Qwen 3.5Yes — comfortably
- Qwen 3Yes
- Qwen 2.5 VLYes — comfortably
- Qwen 2.5 FamilyYes
- Poolside Laguna XS 2.1Yes
- Phi-4 MiniYes — comfortably
- Phi-4 FamilyYes
- Phi 3.5 FamilyYes — comfortably
- OLMo 2Yes, but it is tight
- North Mini CodeYes, but it is tight
- Nex-N2Yes
- Nex-N2.5Yes
- Nemotron Cascade 2Yes
- Nemotron 3 Nano OmniYes, but it is tight
- Mistral Small 3.1Yes
- Mistral Small 3.2Yes
- Mistral FamilyYes, but it is tight
- MinistralYes — comfortably
- Ministral 3Yes
- MiniCPM-VYes — comfortably
- Magistral SmallYes
- Llama 3.2 VisionYes
- Llama 3.2 FamilyYes
- Llama 3.1 FamilyYes — comfortably
- LFM2.5Yes, but it is tight
- InternLM 3Yes, but it is tight
- IBM Granite 4.0Yes
- IBM Granite 4.2Yes — comfortably
- IBM Granite 4.1Yes — comfortably
- Granite 3.0Yes — comfortably
- GPT-OSSYes, but it is tight
- GLM-5 / GLM-5.1No
- GLM-4.7 / GLM-Z1Yes — comfortably
- Gemma 4Yes
- Gemma 3nYes — comfortably
- Gemma 3Yes, but it is tight
- Gemma 2 FamilyYes
- Falcon 3Yes
- EXAONE 3.5Yes — comfortably
- DevstralYes
- DeepSeek R1Yes
- DeepSeek-OCRYes — comfortably
- Cosmos 3Yes, but it is tight
- Cogito v1Yes
- CodestralYes
- Bonsai 27BYes — comfortably
- BitNet b1.58Yes — comfortably
- Aya ExpanseYes — comfortably