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 | 19 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 | 18 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 @128k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | UD-Q6_K | fits | 30.5 GB | 132k232k with q8 cache | 14tok/sest. | 487 tok/s | chat |
| Qwen 3.6 27B Alibaba Qwen | Q5_K_M | fits | 28.2 GB | 166k256k with q8 cache | 15tok/sest. | 487 tok/s | chat |
| Gemma 4 31B | Q4_K_M | fits | 29.7 GB | 141k256k with q8 cache | 14tok/sest. | 462 tok/s | chat |
| Qwen 3.6 35B-A3B Alibaba Qwen | UD-Q5_K_M | fits | 29.0 GB | 197k256k with q8 cache | 51tok/sest. | 2366 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q5_K_M | fits | 28.3 GB | 165k256k with q8 cache | 15tok/sest. | 487 tok/s | chat |
| Gemma 4 26B-A4B | Q8_0 | fits | 29.6 GB | 176k256k with q8 cache | 35tok/sest. | 2872 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q5_K_M | fits | 28.9 GB | 204k256k with q8 cache | 51tok/sest. | 2366 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q5_K_M | fits | 28.4 GB | 169k198k with q8 cache | 24tok/sest. | 1116 tok/s | chat, coding, agents, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 16.1 GB | 128k | 44tok/sest. | 1860 tok/s | chat, coding, agents, long documents |
| Gemma 4 12B | Q8_0 | fits | 16.0 GB | 256k | 28tok/sest. | 1194 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 14.8 GB | 256k | 30tok/sest. | 1420 tok/s | chat, coding, long documents |
| Gemma 3 27B | Q5_K_M | fits | 30.2 GB | 128k | 14tok/sest. | 596 tok/s | chat |
| Ministral 3 14B Mistral AI | Q4_K_M | fits | 29.5 GB | 135k247k with q8 cache | 14tok/sest. | 559 tok/s | chat, coding |
| Qwen3 14B Alibaba Qwen | Q4_K_M | fits | 30.2 GB | 40k | 14tok/sest. | 476 tok/s | chat, coding |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 28.0 GB | 128k | 15tok/sest. | 720 tok/s | chat, coding |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 28.0 GB | 40k | 15tok/sest. | 720 tok/s | chat, coding |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 10.1 GB | 256k | 47tok/sest. | 2211 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 27.3 GB | 153k256k with q8 cache | 15tok/sest. | 729 tok/s | chat, coding, long documents |
| Granite 4.2 8B IBM | Q8_0 | fits | 30.6 GB | 128k | 14tok/sest. | 654 tok/s | chat, coding |
| Gemma 4 E4B | Q8_0 | fits | 13.0 GB | 128k | 35tok/sest. | 1990 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 16.2 GB | 125k | 33tok/sest. | 2660 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 24.0 GB | 128k | 18tok/sest. | 785 tok/s | chat, coding, long documents |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | offload | 44.0 GB | – | 12tok/sest. | 703 tok/s | chat, coding |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | offload | 50.1 GB | – | 12tok/sest. | 1458 tok/s | chat, coding |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | offload | 53.9 GB | – | 10tok/sest. | 892 tok/s | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | offload | 42.1 GB | – | 16tok/sest. | 624 tok/s | chat, coding, agents, long documents |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | offload | 50.1 GB | – | 13tok/sest. | 1594 tok/s | chat, coding |
| Devstral Small 2 24B Mistral AI | Q4_K_M | offload | 35.2 GB | 100k183k with q8 cache | 6tok/sest. | 401 tok/s | chat, coding |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 35.2 GB | – | 32tok/sest. | 2929 tok/s | chat, coding, agents, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 30.9 GB | 122k167k with q8 cache | 84tok/sest. | 1773 tok/s | chat, coding, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | offload | 31.1 GB | 124k223k with q8 cache | 16tok/sest. | 684 tok/s | chat, coding, agents, long documents |
| Qwen3 32B Alibaba Qwen | Q4_K_M | offload | 52.3 GB | 40k | 2tok/sest. | 145 tok/s | chat |
| Mistral Small 3.2 24B Mistral AI | Q4_K_M | offload | 35.2 GB | 100k128k with q8 cache | 6tok/sest. | 401 tok/s | chat, coding |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | offload | 52.3 GB | 43k80k with q8 cache | 2tok/sest. | 195 tok/s | chat |
| Phi-4 14B Microsoft | Q4_K_M | offload | 35.1 GB | 16k | 6tok/sest. | 440 tok/s | chat, coding |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 102.8 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 104.6 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 78.4 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 103.0 GB | – | – | – | – |
| gpt-oss 120B OpenAI | MXFP4 | won't run | 65.4 GB | – | – | – | – |
| GLM 4.5 Air Z.ai | Q2_K | won't run | 67.1 GB | – | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 81.5 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