NVIDIA GeForce RTX 5070
12 GB · 672 GB/s · 250 W
In short
The NVIDIA GeForce RTX 5070 has 12 GB of GDDR7 memory with 672 GB/s of bandwidth, which sets how fast it generates text. At 8k context it runs 51 of the 113 open models we track fully in memory; the most capable is Qwen 3.8 27B at UD-Q6_K, at about 18 tok/s (estimated). The best new price for the NVIDIA GeForce RTX 5070 in Canada is $1,181 at Amazon; used, it starts at $1,150 (asking price).
Updated . Speeds are estimates; how they are worked out.
Prices
Every retailer we track in Canada, cheapest first. Buy links may earn us a commission.
| Retailer | Condition | Price | Stock | Checked | Buy |
|---|---|---|---|---|---|
| eBayNVIDIA GeForce RTX 5070 12GB Founders Edition Graphics Card BRAND NEW Canada🇨🇦 | used, asking price | $1,150 | In stock | 3 h ago | Buy |
| AmazonGIGABYTE GeForce RTX 5070 AERO OC 12G Graphics Card | New | $1,181 | In stock | 9 h ago | Buy |
| AmazonPNY NVIDIA GeForce RTX 5070 Epic-X RGB OC Triple-Fan Graphics Card | New | $1,200 | In stock | 2 h ago | Buy |
| AmazonMSI Gaming RTX 5070 12G Shadow 2X OC Graphics Card | New | $1,259 | In stock | 2 h ago | Buy |
| AmazonASUS Prime GeForce RTX 5070 12GB GDDR7 OC Edition Gaming Graphics Card | New | $1,270 | In stock | 2 h ago | Buy |
| AmazonASUS The SFF-Ready Prime GeForce RTX 5070 12GB GDDR7 White OC Edition Graphics… | New | $1,280 | In stock | 2 h ago | Buy |
| AmazonPNY NVIDIA GeForce RTX 5070 Slim Dual-Fan | New | $1,311 | In stock | 2 h ago | Buy |
| AmazonMSI Gaming RTX 5070 12G Ventus 2X OC White Graphics Card | New | $1,330 | In stock | 2 h ago | Buy |
| AmazonASUS TUF Gaming GeForce RTX 5070 12GB GDDR7 OC Edition Gaming Graphics Card | New | $1,343 | In stock | 2 h ago | Buy |
| AmazonMSI Gaming RTX 5070 12G Ventus 2X OC Graphics Card | New | $1,362 | In stock | 2 h ago | Buy |
| eBayASUS Prime GeForce RTX 5070 OC 12GB GDDR7 | used, asking price | $1,400 | In stock | 3 h ago | Buy |
| AmazonGIGABYTE GeForce RTX 5070 Eagle OC SFF 12G Graphics Card | New | $1,440 | In stock | 2 h ago | Buy |
| AmazonASUS ROG Strix GeForce RTX 5070 12GB GDDR7 OC Edition Graphics Card | New | $1,450 | In stock | 2 h ago | Buy |
| AmazonMSI GeForce RTX 5070 12G Shadow 2X OC Extreme Performance Graphics Card: 2557MHz | New | $1,469 | In stock | 2 h ago | Buy |
| AmazonZOTAC Gaming GeForce RTX 5070 AMP White Edition DLSS 4 12GB GDDR7 192-bit 28… | New | $1,481 | In stock | 2 h ago | Buy |
| AmazonZOTAC Gaming GeForce RTX 5070 Solid OC DLSS 4 12GB GDDR7 192-bit 28 Gbps PCIE… | New | $1,636 | In stock | 2 h 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 @8k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | UD-Q6_K | fits | 22.3 GB | 15k27k with q8 cache | 18tok/sest. | 488 tok/s | chat |
| Qwen 3.6 27B Alibaba Qwen | Q6_K | fits | 22.8 GB | 8k14k with q8 cache | 18tok/sest. | 488 tok/s | chat |
| Gemma 4 31B | Q5_K_M | fits | 22.7 GB | 8k23k with q8 cache | 18tok/sest. | 426 tok/s | chat |
| Qwen 3.6 35B-A3B Alibaba Qwen | Q4_K_M | fits | 22.1 GB | 34k54k with q8 cache | 120tok/sest. | 4182 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q6_K | fits | 22.7 GB | 9k16k with q8 cache | 18tok/sest. | 488 tok/s | chat |
| Gemma 4 26B-A4B | Q6_K | fits | 22.8 GB | 8k18k with q8 cache | 64tok/sest. | 3187 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q4_K_M | fits | 21.9 GB | 44k70k with q8 cache | 121tok/sest. | 4182 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q5_K_M | fits | 21.5 GB | 30k52k with q8 cache | 63tok/sest. | 2341 tok/s | chat, coding, agents |
| Devstral Small 2 24B Mistral AI | Q6_K | fits | 20.4 GB | 22k41k with q8 cache | 20tok/sest. | 550 tok/s | chat |
| gpt-oss 20B OpenAI | MXFP4 | fits | 12.6 GB | 128k | 95tok/sest. | 3027 tok/s | chat, coding, agents, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q5_K_M | fits | 22.1 GB | 14k26k with q8 cache | 85tok/sest. | 3026 tok/s | chat, coding, agents |
| Qwen3 32B Alibaba Qwen | Q4_K_M | fits | 21.6 GB | 12k23k with q8 cache | 19tok/sest. | 376 tok/s | chat |
| Gemma 4 12B | Q8_0 | fits | 13.4 GB | 256k | 32tok/sest. | 1110 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 10.3 GB | 256k | 42tok/sest. | 1406 tok/s | chat, coding, long documents |
| Gemma 3 27B | Q5_K_M | fits | 20.1 GB | 39k74k with q8 cache | 20tok/sest. | 495 tok/s | chat |
| Mistral Small 3.2 24B Mistral AI | Q6_K | fits | 20.4 GB | 22k41k with q8 cache | 20tok/sest. | 550 tok/s | chat |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | fits | 21.6 GB | 12k23k with q8 cache | 19tok/sest. | 394 tok/s | chat |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 15.8 GB | 51k93k with q8 cache | 27tok/sest. | 913 tok/s | chat, coding |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 17.0 GB | 40k | 24tok/sest. | 848 tok/s | chat |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 10.4 GB | 92k128k with q8 cache | 42tok/sest. | 1484 tok/s | chat, coding |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 10.4 GB | 40k | 42tok/sest. | 1484 tok/s | chat, coding |
| Phi-4 14B Microsoft | Q8_0 | fits | 17.2 GB | 16k | 24tok/sest. | 854 tok/s | chat |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 5.6 GB | 256k | 87tok/sest. | 2831 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 10.6 GB | 95k173k with q8 cache | 41tok/sest. | 1387 tok/s | chat, coding |
| Granite 4.2 8B IBM | Q8_0 | fits | 11.1 GB | 80k128k with q8 cache | 39tok/sest. | 1377 tok/s | chat, coding |
| Gemma 4 E4B | Q8_0 | fits | 9.0 GB | 128k | 49tok/sest. | 1704 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 9.9 GB | 125k | 170tok/sest. | 9945 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 8.3 GB | 118k128k with q8 cache | 54tok/sest. | 1532 tok/s | chat, coding |
| Qwen2.5 0.5B Alibaba Qwen | Q8_0 | fits | 1.7 GB | 32k | 660tok/sest. | 20815 tok/s | chat, coding, long documents |
| Qwen3.5 0.8B Alibaba Qwen | Q8_0 | fits | 2.0 GB | 256k | 447tok/sest. | 14321 tok/s | chat, coding, agents, long documents |
| Qwen3.5 2B Alibaba Qwen | Q5_K_M | fits | 2.6 GB | 256k | 268tok/sest. | 5874 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 1.5B DeepSeek | Q8_0 | fits | 3.1 GB | 128k | 196tok/sest. | 6551 tok/s | chat, coding, long documents |
| MiniCPM5 2B openbmb | Q8_0 | fits | 4.0 GB | 128k | 137tok/sest. | 4330 tok/s | chat, coding, agents, long documents |
| LFM2.5 2.6B Liquid AI | Q8_0 | fits | 4.3 GB | 128k | 123tok/sest. | 4359 tok/s | chat, coding, agents, long documents |
| LFM2.5 VL 3B Liquid AI | Q8_0 | fits | 4.3 GB | 32k | 123tok/sest. | 3846 tok/s | chat, coding, agents, long documents |
| LFM2.5 24B A2B Liquid AI | Q6_K | fits | 21.5 GB | 23k42k with q8 cache | 103tok/sest. | 5223 tok/s | chat, coding, agents |
| granite vision 4.1 4b IBM | Q8_0 | fits | 5.1 GB | 128k | 97tok/sest. | 2885 tok/s | chat, coding, long documents |
| granite 4.2 3b IBM | Q8_0 | fits | 5.4 GB | 128k | 91tok/sest. | 3101 tok/s | chat, coding, agents, long documents |
| Mellum2.1 12B A2.5B Thinking JetBrains | Q8_0 | fits | 13.3 GB | 128k | 89tok/sest. | 4792 tok/s | chat, coding, agents, long documents |
| Kimi VL A3B Moonshot AI | mlx-8bit | fits | 18.0 GB | 128k | 71tok/sest. | 4040 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 7B DeepSeek | Q8_0 | fits | 9.1 GB | 128k | 49tok/sest. | 1653 tok/s | chat, coding, long documents |
| DeepSeek R1 Distill Llama 8B DeepSeek | Q8_0 | fits | 10.1 GB | 105k128k with q8 cache | 43tok/sest. | 1532 tok/s | chat, coding |
| Ministral 3 8B Reasoning 2512 Mistral AI | Q8_0 | fits | 10.6 GB | 95k173k with q8 cache | 41tok/sest. | 1387 tok/s | chat, coding, agents |
| GLM 4.6V Flash Z.ai | Q8_0 | fits | 10.8 GB | 128k | 40tok/sest. | 1199 tok/s | chat, coding, agents, long documents |
| GLM 4.1V 9B Thinking Z.ai | mlx-8bit | fits | 12.4 GB | 64k | 34tok/sest. | 1199 tok/s | chat, coding, long documents |
| DeepSeek R1 Distill Qwen 14B DeepSeek | Q8_0 | fits | 17.3 GB | 36k67k with q8 cache | 24tok/sest. | 831 tok/s | chat |
| Devstral Small 2507 Mistral AI | Q5_K_M | fits | 18.0 GB | 37k68k with q8 cache | 23tok/sest. | 560 tok/s | chat |
| Magistral Small 2507 Mistral AI | Q5_K_M | fits | 18.0 GB | 37k40k with q8 cache | 23tok/sest. | 560 tok/s | chat |
| Magistral Small 2509 Mistral AI | Q5_K_M | fits | 18.0 GB | 37k68k with q8 cache | 23tok/sest. | 550 tok/s | chat |
| Magistral Small 2506 Mistral AI | Q6_K | fits | 20.4 GB | 22k40k with q8 cache | 20tok/sest. | 560 tok/s | chat |
| granite 4.2 30b IBM | Q5_K_M | fits | 22.7 GB | 8k15k with q8 cache | 18tok/sest. | 444 tok/s | chat |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | offload | 40.4 GB | – | 17tok/sest. | 943 tok/s | chat |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | offload | 46.6 GB | – | 21tok/sest. | 2237 tok/s | chat |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | offload | 38.8 GB | – | 25tok/sest. | 1258 tok/s | chat, coding |
| GLM 4.5 Air Z.ai | Q2_K | offload | 44.8 GB | – | 7tok/sest. | 449 tok/s | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | offload | 46.6 GB | – | 27tok/sest. | 2812 tok/s | chat, coding |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 33.8 GB | – | 22tok/sest. | 3475 tok/s | chat, coding, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 29.2 GB | – | 51tok/sest. | 3428 tok/s | chat, coding, long documents |
| Llama 3.3 70B Meta | Q4_K_M | offload | 43.2 GB | – | 2tok/sest. | 130 tok/s | – |
| DeepSeek R1 Distill Llama 70B DeepSeek | Q4_K_M | offload | 43.2 GB | – | 2tok/sest. | 130 tok/s | – |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 92.0 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 | 74.9 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 73.2 GB | – | – | – | – |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | won't run | 52.3 GB | – | – | – | – |
| gpt-oss 120B OpenAI | Q4_K_M | won't run | 59.9 GB | – | – | – | – |
| DeepSeek R1 DeepSeek | Q4_K_M | won't run | 378.3 GB | – | – | – | – |
| DeepSeek R1 0528 DeepSeek | Q4_K_M | won't run | 378.8 GB | – | – | – | – |
| DeepSeek V3 0324 DeepSeek | Q4_K_M | won't run | 378.3 GB | – | – | – | – |
| DeepSeek V3.1 DeepSeek | Q4_K_M | won't run | 379.2 GB | – | – | – | – |
| DeepSeek V3.2 DeepSeek | Q4_K_M | won't run | 379.2 GB | – | – | – | – |
| DeepSeek V4 Flash 0731 DeepSeek | MXFP4 | won't run | 147.5 GB | – | – | – | – |
| DeepSeek V4 Flash Vision Exp DeepSeek | MXFP4 | won't run | 156.2 GB | – | – | – | – |
| Devstral 2 123B Instruct 2512 Mistral AI | Q8_0 | won't run | 127.6 GB | – | – | – | – |
| GLM 4.5V Z.ai | Q4_K_M | won't run | 61.8 GB | – | – | – | – |
| GLM 4.6V Z.ai | Q4_K_M | won't run | 68.2 GB | – | – | – | – |
| GLM 4.7 Z.ai | Q4_K_M | won't run | 205.6 GB | – | – | – | – |
| GLM 5.1 Z.ai | MXFP4 | won't run | 421.8 GB | – | – | – | – |
| GLM 5.2 Z.ai | UD-Q4_K_M | won't run | 435.7 GB | – | – | – | – |
| GLM 5.3 Z.ai | Q8_0 | won't run | 748.2 GB | – | – | – | – |
| Kimi K2 Moonshot AI | Q4_K_M | won't run | 579.8 GB | – | – | – | – |
| Kimi K2 Instruct 0905 Moonshot AI | Q4_K_M | won't run | 580.3 GB | – | – | – | – |
| Kimi K2 Thinking Moonshot AI | Q4_K_M | won't run | 580.3 GB | – | – | – | – |
| Kimi K2.5 Moonshot AI | Q4_K_M | won't run | 580.3 GB | – | – | – | – |
| MiniMax M2 MiniMax | Q4_K_M | won't run | 131.9 GB | – | – | – | – |
| MiniMax M2.1 MiniMax | Q4_K_M | won't run | 131.9 GB | – | – | – | – |
| MiniMax M2.5 MiniMax | MXFP4 | won't run | 118.4 GB | – | – | – | – |
| MiniMax M3 MiniMax | UD-Q4_K_M | won't run | 248.8 GB | – | – | – | – |
| Mistral Medium 3.5 128B Mistral AI | Q4_K_M | won't run | 73.7 GB | – | – | – | – |
Specifications
From the manufacturer's published specifications; sources are linked where we have them.
- GPU
- GeForce RTX 5070
- Memory
- 12 GB GDDR7
- Memory bus
- 192-bit
- Memory bandwidth
- 672 GB/s
- FP16 compute
- 62 TFLOPS
- Software
- CUDA
- Board power
- 250 W
- PCIe generation
- Gen 5
- PCIe lanes
- x16
Compare with
Questions
- How much memory does the NVIDIA GeForce RTX 5070 have for AI models?
- The NVIDIA GeForce RTX 5070 has 12 GB of GDDR7 memory with 672 GB/s of bandwidth, which sets how fast it generates text.
- What is the best model the NVIDIA GeForce RTX 5070 can run locally?
- Qwen 3.8 27B (UD-Q6_K) fits fully in its memory at 8k context and generates at about 18 tok/s, an estimate from its memory bandwidth. 51 of the 113 models we track fit at that context.
- Can the NVIDIA GeForce RTX 5070 run DeepSeek V4 Flash?
- No: even at UD-Q2_K_XL, DeepSeek V4 Flash needs about 92 GB at 8k context, more than the NVIDIA GeForce RTX 5070 and system RAM can hold.
- How much does the NVIDIA GeForce RTX 5070 cost in Canada?
- The best new price for the NVIDIA GeForce RTX 5070 in Canada is $1,181 at Amazon; used, it starts at $1,150 (asking price).
Speeds on this page are for 8k context. See the best hardware for local AI at every budget.