作者： Jakub Rusinowski · 最后更新： 2026年7月12日
Best-value 12 GB GPU in the 40-series. More compute than the base 4070 at the same MSRP. 85 t/s on 8B models, 220W TDP. The go-to recommendation for $600 builds.
| VRAM | 12 GB |
| Memory Bandwidth | 504 GB/s |
| TDP | 220 W |
| Architecture | Ada Lovelace AD104 |
| Release Year | 2024 |
| MSRP at Launch | $599 |
| Inference Speed (Llama 3.1 8B Q4_K_M) | 50–96 tok/s (estimated) |
| Inference Speed (Llama 3.3 70B Q4_K_M) | Does not fit — needs ~44 GB of 12 GB usable |
or compare on Vast.ai from $0.35/hr (typical low · varies)
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All models below run comfortably in 12 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 |
| Llama 3.2 Family | Llama 3.2 11B Vision Instruct · 7 GB VRAM · Q4_K_M · llama-3-2 |
| Qwen 2.5 Family | Qwen 2.5 14B Instruct · 9 GB VRAM · Q4_K_M · ollama run qwen2.5:14b |
| 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 Mini | Phi-4 Mini (3.8B) · 3 GB VRAM · Q4_K_M · ollama run phi4-mini |
| Mistral Family | Mistral NeMo 12B · 8 GB VRAM · Q4_K_M · ollama run mistral-nemo |
| DeepSeek R1 | DeepSeek R1 Distill Qwen 14B · 9 GB VRAM · Q4_K_M · ollama run deepseek-r1:14b |
Install Ollama then run the recommended model for this GPU:
ollama run llama3.1:8b
Yes — the NVIDIA GeForce RTX 4070 Super has 12 GB VRAM and runs Best-value 12 GB GPU in the 40-series. More compute than the base 4070 at the same MSRP. 85 t/s on 8B models, 220W TDP.
The NVIDIA GeForce RTX 4070 Super is estimated to run Llama 3.1 8B at 50–96 tok/s with Q4_K_M quantization. Llama 3.3 70B does not fit: it needs about 44 GB against 12 GB usable. These are modelled estimates, not measurements — see /en/methodology.
With 12 GB you can run: Llama 3.1 Family, Llama 3.2 Family, Qwen 2.5 Family, Qwen 3, Gemma 3. Use Ollama for the easiest setup: ollama run llama3.1:8b.
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