Best LLMs for 16 GB VRAM
作者: Jakub Rusinowski · 最后更新: 2026年9月11日
These are the strongest local models that fit entirely in 16 GB of VRAM, ranked by capability, with the quantization level and estimated tokens/sec needed to fit.
GPUs at This Tier
- NVIDIA GeForce RTX 4090 Laptop GPU
- AMD Radeon RX 9060 XT 16GB
- NVIDIA GeForce RTX 5060 Ti 16GB
- NVIDIA GeForce RTX 4060 Ti 16GB
Ranked Models
| Qwen 2.5 Family — Qwen 2.5 14B Instruct | Q4_K_M · 8.4525 GB · ~51 tok/s on NVIDIA GeForce RTX 4090 Laptop GPU |
| Qwen 3 — Qwen 3 14B | Q4_K_M · 8.935500000000001 GB · ~49 tok/s on NVIDIA GeForce RTX 4090 Laptop GPU |
| Codestral — Codestral 22B | Q4_K_M · 13.40325 GB · ~34 tok/s on NVIDIA GeForce RTX 4090 Laptop GPU |
| DeepSeek R1 — DeepSeek R1 Distill Qwen 14B | Q4_K_M · 8.4525 GB · ~52 tok/s on NVIDIA GeForce RTX 4090 Laptop GPU |
| Phi-4 Family — Phi-4 (14B) | Q4_K_M · 8.4525 GB · ~51 tok/s on NVIDIA GeForce RTX 4090 Laptop GPU |
| Mistral Small 3.1 — Mistral Small 3.1 24B | Q4_K_M · 14.248500000000002 GB · ~33 tok/s on NVIDIA GeForce RTX 4090 Laptop GPU |
| InternLM 3 — InternLM 3 20B Instruct | Q4_K_M · 12.075 GB · ~38 tok/s on NVIDIA GeForce RTX 4090 Laptop GPU |
| Mistral Family — Mistral Small 3 (24B) | Q4_K_M · 14.49 GB |
| Granite 3.0 — Granite 3.0 8B Instruct | Q4_K_M · 4.83 GB · ~80 tok/s on NVIDIA GeForce RTX 4090 Laptop GPU |
| Bonsai 27B — Ternary Bonsai 27B | Ternary (1.58-bit, ~1.71 bpw) · 5.77125 GB · ~68 tok/s on NVIDIA GeForce RTX 4090 Laptop GPU |
| Qwen 2.5 Family — Qwen 2.5 7B Instruct | Q4_K_M · 4.5885 GB · ~89 tok/s on NVIDIA GeForce RTX 4090 Laptop GPU |
| Qwen 3 — Qwen 3 8B | Q4_K_M · 4.950749999999999 GB · ~79 tok/s on NVIDIA GeForce RTX 4090 Laptop GPU |
| DeepSeek R1 — DeepSeek R1 Distill Llama 8B | Q4_K_M · 4.83 GB · ~81 tok/s on NVIDIA GeForce RTX 4090 Laptop GPU |
| Mistral Family — Mistral NeMo 12B | Q4_K_M · 7.245 GB · ~59 tok/s on NVIDIA GeForce RTX 4090 Laptop GPU |
| Devstral — Devstral Small 2 24B | Q4_K_M · 14.49 GB |
购买此硬件 AMD Radeon RX 9060 XT 16GB — 16 GB VRAM · 160 W board power立即云端部署 RunPod 上的 RTX 4090 — 低至 $0.34/小时 · 价格核实于 2026-07
或在 Vast.ai 比较,低至 $0.35/小时 (typical low · varies)
作为亚马逊联盟成员,我们从符合条件的购买中获得收入。云 GPU 链接为推荐链接——我们可能获得佣金,您无需额外付费。
FAQ
What LLMs run well with 16 GB VRAM?
Qwen 2.5 Family, Qwen 3, Codestral, DeepSeek R1, Phi-4 Family all fit in 16 GB VRAM.
Which GPUs have 16 GB VRAM?
NVIDIA GeForce RTX 4090 Laptop GPU, AMD Radeon RX 9060 XT 16GB, NVIDIA GeForce RTX 5060 Ti 16GB, NVIDIA GeForce RTX 4060 Ti 16GB.
Can-I-Run Pages Near 16 GB
- DeepSeek R1 on NVIDIA GeForce RTX 5080
- DeepSeek R1 on NVIDIA GeForce RTX 5070 Ti
- DeepSeek R1 on NVIDIA GeForce RTX 5060 Ti 16GB
- DeepSeek R1 on NVIDIA GeForce RTX 4080 Super
- DeepSeek R1 on NVIDIA GeForce RTX 4080
- DeepSeek R1 on NVIDIA GeForce RTX 4070 Ti Super
- DeepSeek R1 on NVIDIA GeForce RTX 4060 Ti 16GB
- DeepSeek R1 on AMD Radeon RX 7800 XT