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NVIDIA GeForce RTX 5060 Ti 8GB for local LLMs

Written by Jakub Rusinowski · Last updated

With 8 GB at 448 GB/s, the RTX 5060 Ti 8GB runs 59 catalogued models at Q4_K_M with 8K context. The largest that fits is K2 Horizon 7B (~7.4 GB), and the top pick is Qwen 3.5 9B at 37–78 tok/s.

Same GB206 chip and 448 GB/s bandwidth as the 16GB variant, but 8 GB VRAM limits it to 7–8B models in Q4. The cheaper of the two RTX 5060 Ti configurations.

Models that run on the RTX 5060 Ti 8GB

Q4_K_M, 8K context, 8 GB usable. Ranked by quality and speed.

ModelVRAMSpeed
Qwen 3.5 9B
Qwen 3.5
6.6 GB37–78 tok/s
GLM-4 9B
GLM-4.7 / GLM-Z1
6.2 GB33–69 tok/s
GLM-4.6V-Flash 9B
GLM-4.6V
6.2 GB33–69 tok/s
EuroLLM 9B
EuroLLM
6.2 GB33–69 tok/s
MiMo-V2.6 Distill 9B
MiMo-V2.6
6.5 GB38–79 tok/s
Ternary Bonsai 2 9B
Ternary Bonsai 2
6.5 GB38–79 tok/s
InternLM 3 8B Instruct
InternLM 3
6.5 GB38–78 tok/s
LFM2.5-8B-A1B
LFM2.5
5.8 GB84–175 tok/s
Qwen 3 8B
Qwen 3
7 GB35–73 tok/s
Aya Expanse 8B
Aya Expanse
6.7 GB37–76 tok/s
Ministral 8B
Ministral
6.9 GB36–74 tok/s
Gemma 4 E4B
Gemma 4
5.6 GB36–75 tok/s
Showing 12 of 59

Buy it or rent the same memory

Buy the card, or rent a GPU with the same memory by the hour to try models first.

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NVIDIA GeForce RTX 5060 Ti 8GB
8 GB VRAM · 180 W board power
2026 prices are volatile — check the current listing.

Speed vs other GPUs

Llama 3.1 8B, Q4_K_M. Estimated ranges. How this is calculated

Specifications

Specs last updated 2026-07-12.

Memory
8 GB
Memory bandwidth
448 GB/s
Architecture
Blackwell GB206
Series
RTX 50-series
Board power
180 W
Release year
2025
Launch price
$379
Usable for models
8 GB
Best for8B modelsbudget Blackwell
Recommended first model (Ollama)

Similar GPUs

Frequently asked questions

Can the NVIDIA GeForce RTX 5060 Ti 8GB run local LLMs?

Yes. With 8 GB (8 GB usable by a model) it runs 59 of the catalogued models at Q4_K_M with 8K context; the largest is K2 Horizon 7B, needing about 7.4 GB.

How fast is the NVIDIA GeForce RTX 5060 Ti 8GB for AI inference?

It is estimated to run Llama 3.1 8B at 40–83 tok/s at Q4_K_M. Llama 3.3 70B does not fit: it needs about 44 GB against 8 GB usable. These are modelled estimates from memory bandwidth, not measurements; the methodology page shows the formula.

What LLMs can I run on 8 GB?

Among the best that fit: Qwen 3.5 9B, GLM-4 9B, GLM-4.6V-Flash 9B, EuroLLM 9B, MiMo-V2.6 Distill 9B. The quickest start is Ollama: ollama run llama3.1:8b.