NVIDIA GeForce RTX 4070 Ti Super
16 GB · 672 GB/s · 285 W
Prices
Every retailer we track in the US, cheapest first. Buy links may earn us a commission.
| Retailer | Condition | Price | Stock | Checked | Buy |
|---|---|---|---|---|---|
| AmazonASUS TUF Gaming GeForce RTX 4070 Ti Super BTF White OC Edition Gaming Graphics… | New | $1,013 | In stock | 18 min ago | Buy |
| AmazonGIGABYTE GeForce RTX 4070 Ti Super Gaming OC 16G Graphics Card | New | $1,140 | In stock | 18 min ago | Buy |
| AmazonASUS TUF Gaming GeForce RTX 4070 Ti Super BTF White OC Edition Gaming Graphics… | New | $1,170 | In stock | 18 min ago | Buy |
| AmazonASUS TUF Gaming GeForce RTX 4070 Ti Super 16GB GDDR6X OC Edition Gaming… | New | $1,180 | In stock | 18 min ago | Buy |
| AmazonMSI Gaming RTX 4070 TI Super 16G Ventus 3X OC Graphics Card | refurbished | $1,330 | In stock | 18 min ago | Buy |
| AmazonMSI Gaming RTX 4070 Ti Super 16G Ventus 2X OC Graphics Card | refurbished | $1,330 | In stock | 18 min ago | Buy |
| AmazonGIGABYTE GeForce RTX 4070 Ti Super WINDFORCE OC 16G Graphics Card | refurbished | $1,330 | In stock | 17 min ago | Buy |
| AmazonGIGABYTE GeForce RTX 4070 Ti Super Eagle OC 16G Graphics Card | New | $1,400 | In stock | 18 min ago | Buy |
| AmazonMSI Gaming RTX 4070 Ti Super 16G Gaming X Slim Graphics Card | New | $1,435 | In stock | 18 min ago | Buy |
| AmazonGigabyte GeForce RTX 4070 Ti Super WINDFORCE OC Graphics Card | New | $1,455 | In stock | 18 min ago | Buy |
| AmazonZOTAC GAMING GeForce RTX 4070 Ti SUPER Trinity Black Edition 16GB GDDR6X | New | $1,459 | In stock | 18 min ago | Buy |
Price history
Lowest price shown each day over the last 90 days.
Not enough price history yet.
What two of them run
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 |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | UD-Q6_K | fits | 26.1 GB | 132k232k with q8 cache | 16tok/sest. | 579 tok/s | chat |
| Qwen 3.6 27B Alibaba Qwen | Q6_K | fits | 26.6 GB | 125k219k with q8 cache | 15tok/sest. | 579 tok/s | chat |
| Gemma 4 31B | Q6_K | fits | 30.7 GB | 64k122k with q8 cache | 13tok/sest. | 528 tok/s | chat |
| Qwen 3.6 35B-A3B Alibaba Qwen | UD-Q6_K | fits | 30.1 GB | 92k144k with q8 cache | 65tok/sest. | 3483 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q6_K | fits | 26.5 GB | 126k221k with q8 cache | 16tok/sest. | 579 tok/s | chat |
| Gemma 4 26B-A4B | Q8_0 | fits | 27.9 GB | 176k256k with q8 cache | 44tok/sest. | 3566 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q6_K | fits | 29.7 GB | 109k170k with q8 cache | 66tok/sest. | 3483 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q6_K | fits | 27.8 GB | 116k198k with q8 cache | 33tok/sest. | 1728 tok/s | chat, coding, agents, long documents |
| Devstral Small 2 24B Mistral AI | Q6_K | fits | 29.5 GB | 72k131k with q8 cache | 14tok/sest. | 570 tok/s | chat |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | fits | 30.0 GB | 122k167k with q8 cache | 104tok/sest. | 2798 tok/s | chat, coding, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 14.3 GB | 128k | 62tok/sest. | 2666 tok/s | chat, coding, agents, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q5_K_M | fits | 27.7 GB | 95k170k with q8 cache | 29tok/sest. | 1247 tok/s | chat, coding, agents |
| Gemma 4 12B | Q8_0 | fits | 14.6 GB | 256k | 30tok/sest. | 1371 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 12.4 GB | 256k | 36tok/sest. | 1678 tok/s | chat, coding, long documents |
| Gemma 3 27B | Q6_K | fits | 27.5 GB | 102k128k with q8 cache | 15tok/sest. | 648 tok/s | chat |
| Mistral Small 3.2 24B Mistral AI | Q6_K | fits | 29.5 GB | 72k128k with q8 cache | 14tok/sest. | 570 tok/s | chat |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 24.8 GB | 100k183k with q8 cache | 17tok/sest. | 802 tok/s | chat, coding |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 26.1 GB | 40k | 16tok/sest. | 702 tok/s | chat |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 18.6 GB | 128k | 23tok/sest. | 1109 tok/s | chat, coding |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 18.6 GB | 40k | 23tok/sest. | 1109 tok/s | chat, coding |
| Phi-4 14B Microsoft | Q8_0 | fits | 28.5 GB | 16k | 14tok/sest. | 705 tok/s | chat |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 7.7 GB | 256k | 62tok/sest. | 2909 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 18.4 GB | 153k256k with q8 cache | 23tok/sest. | 1097 tok/s | chat, coding, long documents |
| Granite 4.2 8B IBM | Q8_0 | fits | 20.2 GB | 128k | 21tok/sest. | 1014 tok/s | chat, coding |
| Gemma 4 E4B | Q8_0 | fits | 10.9 GB | 128k | 41tok/sest. | 2198 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 12.9 GB | 125k | 58tok/sest. | 4691 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 15.6 GB | 128k | 27tok/sest. | 1191 tok/s | chat, coding, long documents |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | offload | 42.1 GB | – | 17tok/sest. | 1003 tok/s | chat, coding |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | offload | 48.2 GB | – | 18tok/sest. | 2166 tok/s | chat, coding |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | offload | 53.0 GB | – | 11tok/sest. | 1037 tok/s | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | offload | 40.3 GB | – | 24tok/sest. | 1010 tok/s | chat, coding, agents, long documents |
| GLM 4.5 Air Z.ai | Q2_K | offload | 55.2 GB | – | 3tok/sest. | 266 tok/s | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | offload | 48.2 GB | – | 21tok/sest. | 2471 tok/s | chat, coding |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 34.5 GB | – | 38tok/sest. | 4006 tok/s | chat, coding, agents, long documents |
| Qwen3 32B Alibaba Qwen | Q4_K_M | offload | 35.9 GB | 40k | 6tok/sest. | 269 tok/s | chat |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | offload | 36.0 GB | 43k80k with q8 cache | 6tok/sest. | 332 tok/s | chat |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 97.0 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 103.5 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 76.5 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 87.1 GB | – | – | – | – |
| gpt-oss 120B OpenAI | MXFP4 | won't run | 62.8 GB | – | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 61.1 GB | – | – | – | – |
Specifications
From the manufacturer's published specifications; sources are linked where we have them.
- GPU
- GeForce RTX 4070 Ti Super
- Memory
- 16 GB GDDR6X
- Memory bus
- 256-bit
- Memory bandwidth
- 672 GB/s
- FP16 compute
- 88 TFLOPS
- Software
- CUDA
- Board power
- 285 W
- PCIe generation
- Gen 4
- PCIe lanes
- x16