Written by Jakub Rusinowski · Last updated July 12, 2026
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.
| VRAM | 16 GB |
| Memory Bandwidth | 288 GB/s |
| TDP | 165 W |
| Architecture | Ada Lovelace AD106 |
| Release Year | 2023 |
| MSRP at Launch | $499 |
| Inference Speed (Llama 3.1 8B Q4_K_M) | 31–59 tok/s (estimated) |
| Inference Speed (Llama 3.3 70B Q4_K_M) | Does not fit — needs ~44 GB of 16 GB usable |
or compare on Vast.ai from $0.35/hr (typical low · varies)
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All models below run comfortably in 16 GB VRAM with Q4_K_M quantization.
| Llama 3.1 Family | Llama 3.1 8B Instruct · 6 GB VRAM · Q4_K_M · ollama run llama3.1 |
| Qwen 3 | Qwen 3 14B · 10 GB VRAM · Q4_K_M · ollama run qwen3:14b |
| Gemma 3 | Gemma 3 12B Instruct · 8 GB VRAM · Q4_K_M · ollama run gemma3:12b |
| Phi-4 Family | Phi-4 (14B) · 9 GB VRAM · Q4_K_M · ollama run phi4 |
| Phi-4 Mini | Phi-4 Mini (3.8B) · 3 GB VRAM · Q4_K_M · ollama run phi4-mini |
| Mistral Family | Mistral Small 3 (24B) · 15 GB VRAM · Q4_K_M · ollama run mistral-small |
| DeepSeek R1 | DeepSeek R1 Distill Qwen 14B · 9 GB VRAM · Q4_K_M · ollama run deepseek-r1:14b |
| Qwen 2.5 Family | Qwen 2.5 14B Instruct · 9 GB VRAM · Q4_K_M · ollama run qwen2.5:14b |
Install Ollama then run the recommended model for this GPU:
ollama run qwen3:14b
Yes — the NVIDIA GeForce RTX 4060 Ti 16GB has 16 GB VRAM and runs The most affordable 16 GB GPU. Lower bandwidth than RTX 4070, but model compatibility is the same. Ideal for users who w
The NVIDIA GeForce RTX 4060 Ti 16GB is estimated to run Llama 3.1 8B at 31–59 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.
With 16 GB you can run: Llama 3.1 Family, Qwen 3, Gemma 3, Phi-4 Family, Phi-4 Mini. Use Ollama for the easiest setup: ollama run qwen3:14b.
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