All hardware / RTX 4060 Ti 16GB
With 16 GB of VRAM, the RTX 4060 Ti 16GB runs 7 of 22 popular open models fully in fast memory at Q4_K_M or better (8K context, assuming 32 GB of DDR5 system RAM). The largest that fit are gpt-oss-20b (Q4_K_M), Phi-4 14B (Q6_K), Gemma 4 12B (Q8_0). Fastest: gpt-oss-20b at about 79 tokens/sec and Gemma 4 E2B at about 71 tokens/sec. 4 more run with offload to system RAM, but slower.
Check with your own RAM and context length| Model | Result | Best quant | Memory needed | Est. speed |
|---|---|---|---|---|
| gpt-oss-20b | Runs on GPU | Q4_K_M | 13.6 GB | 79 tok/s |
| Gemma 4 E2B | Runs on GPU | Q8_0 | 6.1 GB | 71 tok/s |
| Ministral 3 3B | Runs on GPU | Q8_0 | 4.8 GB | 43 tok/s |
| Gemma 4 E4B | Runs on GPU | Q8_0 | 9.3 GB | 36 tok/s |
| Qwen3.5 9B | Runs on GPU | Q8_0 | 11.3 GB | 17 tok/s |
| Phi-4 14B | Runs on GPU | Q6_K | 14.2 GB | 14 tok/s |
| Gemma 4 12B | Runs on GPU | Q8_0 | 13.8 GB | 14 tok/s |
| Gemma 4 26B A4B | Needs offload | Q4_K_M | 16.4 GB | 63 tok/s |
| Qwen3.6 35B-A3B | Needs offload | Q4_K_M | 22.2 GB | 49 tok/s |
| Mistral Small 3.1 24B | Lower quality fit | Q3_K_M | 13.5 GB | 15 tok/s |
| Qwen3.6 27B | Lower quality fit | Q3_K_M | 14.3 GB | 13 tok/s |
| Qwen3.8 27B | Lower quality fit | Q3_K_M | 14.7 GB | 13 tok/s |
| Granite 4.2 30B | Lower quality fit | Q3_K_M | 15.1 GB | 12 tok/s |
| Gemma 4 31B | Needs offload | Q4_K_M | 19.8 GB | 5.5 tok/s |
| Hermes 4.3 36B | Needs offload | Q4_K_M | 23.9 GB | 3.7 tok/s |
| Llama 3.3 70B | Too big | Q4_K_M | 45.9 GB | — |
| Llama 4 Scout | Too big | Q4_K_M | 68.1 GB | — |
| gpt-oss-120b | Too big | Q4_K_M | 72.0 GB | — |
| Qwen3.5 122B-A10B | Too big | Q4_K_M | 75.3 GB | — |
| Qwen3.8-Flash-Next | Too big | Q4_K_M | 107.8 GB | — |
| GLM-5.3-Flash | Too big | Q4_K_M | 196.0 GB | — |
| DeepSeek V4.1-Flash | Too big | Q4_K_M | 335.8 GB | — |
OllamaLM StudioJanGPT4AllAnythingLLMllama.cppvLLMSGLangKoboldCppText Generation WebUILocalAI