Home / Best models for 12 GB GPUs
The best local AI models for a 12 GB GPU are the largest that fit fully in VRAM at Q4_K_M or better: Phi-4 14B (Q4_K_M, about 34 tokens/sec on an RTX 4070), Gemma 4 12B (Q6_K, about 31 tokens/sec on an RTX 4070), Qwen3.5 9B (Q8_0, about 29 tokens/sec on an RTX 4070), Gemma 4 E4B (Q8_0, about 63 tokens/sec on an RTX 4070). Mixture-of-experts models like Qwen3.6 35B-A3B (~41 tok/s) and Nemotron 3.5 Lightning 30B-A3B (~48 tok/s) also run usably with offload to 32 GB of system RAM. Estimates assume 8K context.
Check your exact card and RAM| Model | Best quant | Memory needed | Est. speed (RTX 4070) |
|---|---|---|---|
| Phi-4 14B | Q4_K_M | 11.0 GB | 34 tok/s |
| Gemma 4 12B | Q6_K | 10.8 GB | 31 tok/s |
| Qwen3.5 9B | Q8_0 | 11.3 GB | 29 tok/s |
| Gemma 4 E4B | Q8_0 | 9.3 GB | 63 tok/s |
| Gemma 4 E2B | Q8_0 | 6.1 GB | 124 tok/s |
| Ministral 3 3B | Q8_0 | 4.8 GB | 75 tok/s |
Qwen3.6 35B-A3B · Nemotron 3.5 Lightning 30B-A3B · Gemma 4 26B A4B · gpt-oss-20b
RTX 5070RTX 4070 TiRTX 4070 SuperRTX 4070RTX 3080 TiRTX 3080 12GBRTX 3060 12GBRX 7700 XTArc B580