NVIDIA GeForce RTX 4060 Ti 16GB for local LLMs
Written by Jakub Rusinowski · Last updated
With 16 GB at 288 GB/s, the RTX 4060 Ti 16GB runs 75 catalogued models at Q4_K_M with 8K context. The largest that fits is OLMo 2 13B Instruct (~15.8 GB), and the top pick is GPT-OSS 20B at 58–111 tok/s.
The most affordable 16 GB GPU. Lower bandwidth than RTX 4070, but model compatibility is the same. Ideal for users who want to run 14B models on a budget.
Models that run on the RTX 4060 Ti 16GB
Q4_K_M, 8K context, 16 GB usable. Ranked by quality and speed.
| Model | Memory · marker = 16 GB | VRAM | Speed |
|---|---|---|---|
| GPT-OSS 20B GPT-OSS | 13.8 GB | 58–111 tok/s | |
| Cosmos 3 Nano Cosmos 3 | 10.5 GB | 27–51 tok/s | |
| StarCoder 2 15B StarCoder 2 | 10.8 GB | 17–33 tok/s | |
| Qwen 3 14B Qwen 3 | 11.1 GB | 17–32 tok/s | |
| Phi-4 (14B) Phi-4 Family | 10.9 GB | 17–33 tok/s | |
| Cogito v1 14B Cogito v1 | 10.9 GB | 17–33 tok/s | |
| Ministral 3 14B Ministral 3 | 9.3 GB | 18–34 tok/s | |
| DeepSeek R1 Distill Qwen 14B DeepSeek R1 | 10.6 GB | 18–34 tok/s | |
| Gemma 4 12B (Unified) Gemma 4 | 8 GB | 20–38 tok/s | |
| Bielik PL 11B v3.0 Instruct Bielik | 7.4 GB | 21–41 tok/s | |
| Llama 3.2 Vision 11B Llama 3.2 Vision | 8.5 GB | 22–42 tok/s | |
| Falcon 3 10B Instruct Falcon 3 | 8.4 GB | 22–43 tok/s |
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.
or compare on Vast.ai from $0.35/hr (typical low · varies)
As an Amazon Associate we earn from qualifying purchases. Cloud GPU links are referral links — we may earn a commission at no extra cost to you.
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
- 16 GB
- Memory bandwidth
- 288 GB/s
- Architecture
- Ada Lovelace AD106
- Series
- RTX 40-series
- Board power
- 165 W
- Release year
- 2023
- Launch price
- $499
- Usable for models
- 16 GB
Similar GPUs
Frequently asked questions
Can the NVIDIA GeForce RTX 4060 Ti 16GB run local LLMs?
Yes. With 16 GB (16 GB usable by a model) it runs 75 of the catalogued models at Q4_K_M with 8K context; the largest is OLMo 2 13B Instruct, needing about 15.8 GB.
How fast is the NVIDIA GeForce RTX 4060 Ti 16GB for AI inference?
It is estimated to run Llama 3.1 8B at 31–59 tok/s at Q4_K_M. Llama 3.3 70B does not fit: it needs about 44 GB against 16 GB usable. These are modelled estimates from memory bandwidth, not measurements; the methodology page shows the formula.
What LLMs can I run on 16 GB?
Among the best that fit: GPT-OSS 20B, Cosmos 3 Nano, StarCoder 2 15B, Qwen 3 14B, Phi-4 (14B). The quickest start is Ollama: ollama run qwen3:14b.
Keep going
Can I run it on the RTX 4060 Ti 16GB?
More for this card
Tools