Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026
Best all-round pick: Qwen 3 8B
The NVIDIA GeForce RTX 4060 has 8 GB of VRAM, of which about 8 GB is available to a model. The largest model it can hold is Llama 3.2 11B Vision Instruct (11B, 7.2 GB at Q4_K_M).
| Model | Score | Memory at Q4_K_M | Context | Licence |
|---|---|---|---|---|
| Qwen 3 8B | 96.1 | 5.8 GB | 125K | Apache 2.0 |
| GLM-6 9B | 93.3 | 6.2 GB | 125K | MIT |
| GLM-4.7 9B | 93.1 | 6.2 GB | 125K | Apache-2.0 |
| Qwen 3.5 7B | 92.5 | 5 GB | 125K | Apache 2.0 |
| GLM-5 9B | 92 | 6.2 GB | 125K | MIT |
| IBM Granite 4.1 Granite 4.1 8B | 91 | 5.6 GB | 128K | Apache-2.0 |
| Workload | Recommended on this GPU |
|---|---|
| Coding | Qwen3-Coder 8B (96.3) GLM-6 9B (93.2) Qwen 3 8B (92.9) |
| General assistant | Qwen 3 8B (96.1) GLM-6 9B (93.3) GLM-4.7 9B (93.1) |
| Reasoning | DeepSeek R1 Distill Llama 8B (94.8) Qwen 3 8B (93.1) Qwen 3.5 9B (92.8) |
| RAG | GLM-4.7 9B (79.3) GLM-6 9B (79.3) Qwen 3 8B (78.5) |
| Agents | GLM-6 9B (86.8) GLM-5 9B (85.4) IBM Granite 4.2 Granite 4.2 8B (77.6) |
| Vision | Gemma 4 E4B (91.6) Llama 3.2 11B Vision Instruct (91.6) Ministral 3 8B (87.4) |
These models are strong picks generally but exceed the 8 GB this card makes available.
| Model | Needs at Q4_K_M | Short by |
|---|---|---|
| Gemma 4 27B ⭐ | 17.2 GB | ~9.2 GB |
| Mistral Small 3.1 24B | 15.1 GB | ~7.1 GB |
| Qwen 3.5 14B | 9.3 GB | ~1.3 GB |
| Gemma 3 12B Instruct | 8.1 GB | ~0.1 GB |
Qwen 3 8B is the strongest all-round pick that fits its 8 GB.
Llama 3.2 11B Vision Instruct — 11B parameters, needing 7.2 GB at Q4_K_M.
About 8 GB of its 8 GB, before the desktop and runtime overhead are accounted for.