NVIDIA GeForce RTX 4070 Super
12 GB · 504 GB/s · 220 W
Prices
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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 @64k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Gemma 4 12B | Q5_K_M | fits | 10.2 GB | 118k190k with q8 cache | 32tok/sest. | 1106 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q6_K | fits | 10.1 GB | 99k165k with q8 cache | 32tok/sest. | 1354 tok/s | chat, coding, long documents |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 7.3 GB | 174k256k with q8 cache | 47tok/sest. | 2347 tok/s | chat, coding, long documents |
| Gemma 4 E4B | Q8_0 | fits | 10.5 GB | 91k128k with q8 cache | 31tok/sest. | 1773 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | UD-Q6_K | fits | 10.7 GB | 77k125k with q8 cache | 46tok/sest. | 3784 tok/s | chat, coding |
| Qwen 3.8 27B Alibaba Qwen | UD-Q4_K_M | offload | 20.5 GB | – | 5tok/sest. | 335 tok/s | – |
| Qwen 3.6 27B Alibaba Qwen | Q4_K_M | offload | 20.9 GB | – | 4tok/sest. | 333 tok/s | – |
| Gemma 4 31B | Q4_K_M | offload | 23.9 GB | – | 4tok/sest. | 286 tok/s | – |
| Qwen 3.6 35B-A3B Alibaba Qwen | UD-Q4_K_M | offload | 23.0 GB | – | 16tok/sest. | 1918 tok/s | chat, coding |
| Qwen 3.5 27B Alibaba Qwen | Q4_K_M | offload | 20.8 GB | – | 5tok/sest. | 333 tok/s | – |
| Gemma 4 26B-A4B | UD-Q4_K_M | offload | 18.3 GB | – | 15tok/sest. | 2186 tok/s | chat |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q4_K_M | offload | 22.9 GB | – | 16tok/sest. | 1922 tok/s | chat, coding |
| GLM 4.7 Flash Z.ai | Q4_K_M | offload | 21.4 GB | – | 8tok/sest. | 982 tok/s | chat |
| Devstral Small 2 24B Mistral AI | Q4_K_M | offload | 24.4 GB | – | 3tok/sest. | 306 tok/s | – |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 34.1 GB | – | 12tok/sest. | 2036 tok/s | – |
| gpt-oss 20B OpenAI | MXFP4 | offload | 13.9 GB | – | 24tok/sest. | 1903 tok/s | chat, coding, agents |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 29.6 GB | – | 19tok/sest. | 1393 tok/s | chat, coding, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | offload | 24.4 GB | – | 6tok/sest. | 670 tok/s | chat |
| Qwen3 32B Alibaba Qwen | Q4_K_M | offload | 35.5 GB | – | 2tok/sest. | 138 tok/s | – |
| Gemma 3 27B | Q4_K_M | offload | 21.9 GB | – | 4tok/sest. | 365 tok/s | – |
| Mistral Small 3.2 24B Mistral AI | Q4_K_M | offload | 24.4 GB | – | 3tok/sest. | 306 tok/s | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | offload | 35.6 GB | – | 2tok/sest. | 171 tok/s | – |
| Ministral 3 14B Mistral AI | Q4_K_M | offload | 18.7 GB | 18k34k with q8 cache | 6tok/sest. | 486 tok/s | chat |
| Qwen3 14B Alibaba Qwen | Q4_K_M | offload | 19.5 GB | 14k26k with q8 cache | 5tok/sest. | 418 tok/s | chat |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q4_K_M | offload | 14.8 GB | 41k74k with q8 cache | 10tok/sest. | 763 tok/s | chat, coding |
| Qwen3 8B Alibaba Qwen | Q4_K_M | offload | 14.8 GB | 40k | 10tok/sest. | 763 tok/s | chat, coding |
| Phi-4 14B Microsoft | Q4_K_M | offload | 21.9 GB | 12k16k with q8 cache | 4tok/sest. | 397 tok/s | chat |
| Ministral 3 8B Mistral AI | Q4_K_M | offload | 14.4 GB | 42k76k with q8 cache | 10tok/sest. | 765 tok/s | chat, coding |
| Granite 4.2 8B IBM | Q4_K_M | offload | 16.2 GB | 34k62k with q8 cache | 8tok/sest. | 662 tok/s | chat, coding |
| Llama 3.1 8B Meta | Q4_K_M | offload | 13.7 GB | 46k84k with q8 cache | 12tok/sest. | 858 tok/s | chat, coding |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 96.6 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 103.1 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 76.1 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 86.7 GB | – | – | – | – |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | won't run | 41.7 GB | – | – | – | – |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | won't run | 52.6 GB | – | – | – | – |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | won't run | 47.8 GB | – | – | – | – |
| gpt-oss 120B OpenAI | MXFP4 | won't run | 62.4 GB | – | – | – | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | won't run | 39.9 GB | – | – | – | – |
| GLM 4.5 Air Z.ai | Q2_K | won't run | 54.8 GB | – | – | – | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | won't run | 47.8 GB | – | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 60.7 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