NVIDIA GeForce RTX 4070 Super
12 GB · 504 GB/s · 220 W
Prices
Every retailer we track in the US, cheapest first. Buy links may earn us a commission.
No retailer in this market lists it right now.
What it runs
Every model in the catalogue, with the best quant for this hardware. Estimates, not measurements.
| Model | Quant | Fits | Memory | Max context | Decode @32k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Gemma 4 12B | Q6_K | fits | 10.8 GB | 59k100k with q8 cache | 29tok/sest. | 1195 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 10.8 GB | 47k79k with q8 cache | 29tok/sest. | 1489 tok/s | chat, coding |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q5_K_M | fits | 10.8 GB | 35k65k with q8 cache | 29tok/sest. | 1227 tok/s | chat, coding |
| Qwen3 8B Alibaba Qwen | Q5_K_M | fits | 10.8 GB | 35k40k with q8 cache | 29tok/sest. | 1227 tok/s | chat, coding |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 6.1 GB | 174k256k with q8 cache | 56tok/sest. | 2786 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q5_K_M | fits | 10.8 GB | 36k66k with q8 cache | 29tok/sest. | 1185 tok/s | chat, coding |
| Granite 4.2 8B IBM | Q4_K_M | fits | 11.0 GB | 34k62k with q8 cache | 29tok/sest. | 1128 tok/s | chat, coding |
| Gemma 4 E4B | Q8_0 | fits | 9.4 GB | 91k128k with q8 cache | 34tok/sest. | 1871 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 10.8 GB | 43k75k with q8 cache | 70tok/sest. | 6119 tok/s | chat, coding |
| Llama 3.1 8B Meta | Q6_K | fits | 11.0 GB | 34k63k with q8 cache | 29tok/sest. | 1296 tok/s | chat, coding |
| Qwen 3.8 27B Alibaba Qwen | UD-Q4_K_M | offload | 18.4 GB | – | 6tok/sest. | 392 tok/s | – |
| Qwen 3.6 27B Alibaba Qwen | Q4_K_M | offload | 18.7 GB | – | 6tok/sest. | 389 tok/s | – |
| Gemma 4 31B | Q4_K_M | offload | 21.2 GB | – | 4tok/sest. | 326 tok/s | – |
| Qwen 3.6 35B-A3B Alibaba Qwen | UD-Q4_K_M | offload | 22.2 GB | – | 21tok/sest. | 2561 tok/s | chat, coding |
| Qwen 3.5 27B Alibaba Qwen | Q4_K_M | offload | 18.6 GB | – | 6tok/sest. | 389 tok/s | – |
| Gemma 4 26B-A4B | UD-Q4_K_M | offload | 17.5 GB | – | 19tok/sest. | 2553 tok/s | chat |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q4_K_M | offload | 22.1 GB | – | 21tok/sest. | 2567 tok/s | chat, coding |
| GLM 4.7 Flash Z.ai | Q4_K_M | offload | 19.6 GB | – | 13tok/sest. | 1416 tok/s | chat |
| Devstral Small 2 24B Mistral AI | Q4_K_M | offload | 19.2 GB | – | 5tok/sest. | 404 tok/s | – |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 33.7 GB | – | 12tok/sest. | 2486 tok/s | – |
| gpt-oss 20B OpenAI | MXFP4 | offload | 12.9 GB | – | 36tok/sest. | 2539 tok/s | chat, coding, agents |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 29.2 GB | – | 22tok/sest. | 1975 tok/s | chat, coding, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | offload | 21.2 GB | – | 11tok/sest. | 1203 tok/s | chat |
| Qwen3 32B Alibaba Qwen | Q4_K_M | offload | 27.3 GB | – | 3tok/sest. | 204 tok/s | – |
| Gemma 3 27B | Q4_K_M | offload | 19.2 GB | – | 5tok/sest. | 407 tok/s | – |
| Mistral Small 3.2 24B Mistral AI | Q4_K_M | offload | 19.2 GB | – | 5tok/sest. | 404 tok/s | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | offload | 27.4 GB | – | 3tok/sest. | 234 tok/s | – |
| Ministral 3 14B Mistral AI | Q4_K_M | offload | 13.6 GB | 18k34k with q8 cache | 13tok/sest. | 743 tok/s | chat |
| Qwen3 14B Alibaba Qwen | Q4_K_M | offload | 14.3 GB | 14k26k with q8 cache | 11tok/sest. | 648 tok/s | chat |
| Phi-4 14B Microsoft | Q4_K_M | offload | 15.4 GB | 12k16k with q8 cache | 9tok/sest. | 624 tok/s | chat |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 93.8 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 102.6 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 75.2 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 78.8 GB | – | – | – | – |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | won't run | 40.7 GB | – | – | – | – |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | won't run | 52.2 GB | – | – | – | – |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | won't run | 46.9 GB | – | – | – | – |
| gpt-oss 120B OpenAI | MXFP4 | won't run | 61.1 GB | – | – | – | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | won't run | 39.0 GB | – | – | – | – |
| GLM 4.5 Air Z.ai | Q2_K | won't run | 48.8 GB | – | – | – | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | won't run | 46.9 GB | – | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 50.5 GB | – | – | – | – |
Specifications
From the manufacturer's published specifications; sources are linked where we have them.
- GPU
- GeForce RTX 4070 Super
- Memory
- 12 GB GDDR6X
- Memory bus
- 192-bit
- Memory bandwidth
- 504 GB/s
- FP16 compute
- 71 TFLOPS
- Software
- CUDA
- Board power
- 220 W
- PCIe generation
- Gen 4
- PCIe lanes
- x16