作者： Jakub Rusinowski · 最后更新： 2026年7月12日
最实惠的16 GB显卡。带宽低于RTX 4070，但模型兼容性相同。适合想在预算内运行14B模型的用户。
| 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 |
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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 最实惠的16 GB显卡。带宽低于RTX 4070，但模型兼容性相同。适合想在预算内运行14B模型的用户。
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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