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 27 of the 113 open models we track fully in memory; the most capable is Gemma 4 12B at Q6_K, at about 41 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 | 2 h ago | Buy |
| AmazonGIGABYTE GeForce RTX 5070 AERO OC 12G Graphics Card | New | $1,181 | In stock | 8 h ago | Buy |
| AmazonPNY NVIDIA GeForce RTX 5070 Epic-X RGB OC Triple-Fan Graphics Card | New | $1,200 | In stock | 1 h ago | Buy |
| AmazonMSI Gaming RTX 5070 12G Shadow 2X OC Graphics Card | New | $1,259 | In stock | 1 h ago | Buy |
| AmazonASUS Prime GeForce RTX 5070 12GB GDDR7 OC Edition Gaming Graphics Card | New | $1,270 | In stock | 1 h ago | Buy |
| AmazonASUS The SFF-Ready Prime GeForce RTX 5070 12GB GDDR7 White OC Edition Graphics… | New | $1,280 | In stock | 1 h ago | Buy |
| AmazonPNY NVIDIA GeForce RTX 5070 Slim Dual-Fan | New | $1,311 | In stock | 1 h ago | Buy |
| AmazonMSI Gaming RTX 5070 12G Ventus 2X OC White Graphics Card | New | $1,330 | In stock | 1 h ago | Buy |
| AmazonASUS TUF Gaming GeForce RTX 5070 12GB GDDR7 OC Edition Gaming Graphics Card | New | $1,343 | In stock | 1 h ago | Buy |
| AmazonMSI Gaming RTX 5070 12G Ventus 2X OC Graphics Card | New | $1,362 | In stock | 1 h ago | Buy |
| eBayASUS Prime GeForce RTX 5070 OC 12GB GDDR7 | used, asking price | $1,400 | In stock | 2 h ago | Buy |
| AmazonGIGABYTE GeForce RTX 5070 Eagle OC SFF 12G Graphics Card | New | $1,440 | In stock | 1 h ago | Buy |
| AmazonASUS ROG Strix GeForce RTX 5070 12GB GDDR7 OC Edition Graphics Card | New | $1,450 | In stock | 1 h ago | Buy |
| AmazonMSI GeForce RTX 5070 12G Shadow 2X OC Extreme Performance Graphics Card: 2557MHz | New | $1,469 | In stock | 1 h ago | Buy |
| AmazonZOTAC Gaming GeForce RTX 5070 AMP White Edition DLSS 4 12GB GDDR7 192-bit 28… | New | $1,481 | In stock | 1 h ago | Buy |
| AmazonZOTAC Gaming GeForce RTX 5070 Solid OC DLSS 4 12GB GDDR7 192-bit 28 Gbps PCIE… | New | $1,636 | In stock | 1 h ago | Buy |
Price history
Lowest price shown each day over the last 90 days.
Not enough price history yet.
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 @8k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Gemma 4 12B | Q6_K | fits | 10.3 GB | 59k100k with q8 cache | 41tok/sest. | 1110 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 9.9 GB | 47k79k with q8 cache | 42tok/sest. | 1406 tok/s | chat, coding |
| Qwen3 14B Alibaba Qwen | Q4_K_M | fits | 10.4 GB | 14k26k with q8 cache | 40tok/sest. | 848 tok/s | chat |
| Ministral 3 14B Mistral AI | Q5_K_M | fits | 11.0 GB | 10k19k with q8 cache | 38tok/sest. | 913 tok/s | chat |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 10.0 GB | 17k32k with q8 cache | 42tok/sest. | 1484 tok/s | chat |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 10.0 GB | 17k32k with q8 cache | 42tok/sest. | 1484 tok/s | chat |
| Phi-4 14B Microsoft | Q4_K_M | fits | 10.6 GB | 12k16k with q8 cache | 39tok/sest. | 854 tok/s | chat |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 5.2 GB | 174k256k with q8 cache | 87tok/sest. | 2831 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 10.2 GB | 16k29k with q8 cache | 41tok/sest. | 1387 tok/s | chat |
| Granite 4.2 8B IBM | Q8_0 | fits | 10.7 GB | 12k22k with q8 cache | 39tok/sest. | 1377 tok/s | chat |
| Gemma 4 E4B | Q8_0 | fits | 8.6 GB | 91k128k with q8 cache | 49tok/sest. | 1704 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 9.5 GB | 43k75k with q8 cache | 170tok/sest. | 9945 tok/s | chat, coding |
| Llama 3.1 8B Meta | Q6_K | fits | 7.9 GB | 34k63k with q8 cache | 54tok/sest. | 1532 tok/s | chat, coding |
| Qwen2.5 0.5B Alibaba Qwen | Q8_0 | fits | 1.3 GB | 32k | 660tok/sest. | 20815 tok/s | chat, coding, long documents |
| Qwen3.5 0.8B Alibaba Qwen | Q8_0 | fits | 1.6 GB | 256k | 447tok/sest. | 14321 tok/s | chat, coding, agents, long documents |
| Qwen3.5 2B Alibaba Qwen | Q5_K_M | fits | 2.2 GB | 256k | 268tok/sest. | 5874 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 1.5B DeepSeek | Q8_0 | fits | 2.7 GB | 128k | 196tok/sest. | 6551 tok/s | chat, coding, long documents |
| MiniCPM5 2B openbmb | Q8_0 | fits | 3.6 GB | 128k | 137tok/sest. | 4330 tok/s | chat, coding, agents, long documents |
| LFM2.5 2.6B Liquid AI | Q8_0 | fits | 3.9 GB | 124k128k with q8 cache | 123tok/sest. | 4359 tok/s | chat, coding, agents, long documents |
| LFM2.5 VL 3B Liquid AI | Q8_0 | fits | 3.9 GB | 32k | 123tok/sest. | 3846 tok/s | chat, coding, agents, long documents |
| granite vision 4.1 4b IBM | Q8_0 | fits | 4.7 GB | 87k128k with q8 cache | 97tok/sest. | 2885 tok/s | chat, coding |
| granite 4.2 3b IBM | Q8_0 | fits | 5.0 GB | 84k128k with q8 cache | 91tok/sest. | 3101 tok/s | chat, coding, agents |
| DeepSeek R1 Distill Qwen 7B DeepSeek | Q8_0 | fits | 8.7 GB | 52k90k with q8 cache | 49tok/sest. | 1653 tok/s | chat, coding |
| DeepSeek R1 Distill Llama 8B DeepSeek | Q8_0 | fits | 9.7 GB | 20k37k with q8 cache | 43tok/sest. | 1532 tok/s | chat |
| Ministral 3 8B Reasoning 2512 Mistral AI | Q8_0 | fits | 10.2 GB | 16k29k with q8 cache | 41tok/sest. | 1387 tok/s | chat |
| GLM 4.6V Flash Z.ai | Q8_0 | fits | 10.4 GB | 30k52k with q8 cache | 40tok/sest. | 1199 tok/s | chat, coding, agents |
| DeepSeek R1 Distill Qwen 14B DeepSeek | Q4_K_M | fits | 10.6 GB | 12k22k with q8 cache | 39tok/sest. | 831 tok/s | chat |
| Qwen 3.8 27B Alibaba Qwen | UD-Q4_K_M | offload | 16.7 GB | – | 8tok/sest. | 391 tok/s | – |
| Qwen 3.6 27B Alibaba Qwen | Q4_K_M | offload | 17.0 GB | – | 7tok/sest. | 387 tok/s | – |
| Gemma 4 31B | Q4_K_M | offload | 19.2 GB | – | 5tok/sest. | 318 tok/s | – |
| Qwen 3.6 35B-A3B Alibaba Qwen | MXFP4 | offload | 21.2 GB | – | 29tok/sest. | 2981 tok/s | chat, coding |
| Qwen 3.5 27B Alibaba Qwen | Q4_K_M | offload | 17.0 GB | – | 7tok/sest. | 387 tok/s | – |
| Gemma 4 26B-A4B | UD-Q4_K_M | offload | 16.9 GB | – | 25tok/sest. | 2537 tok/s | chat, coding |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q4_K_M | offload | 21.5 GB | – | 28tok/sest. | 2963 tok/s | chat, coding |
| GLM 4.7 Flash Z.ai | Q4_K_M | offload | 18.2 GB | – | 20tok/sest. | 1793 tok/s | chat |
| Devstral Small 2 24B Mistral AI | Q4_K_M | offload | 15.3 GB | – | 9tok/sest. | 461 tok/s | – |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 33.4 GB | – | 13tok/sest. | 2595 tok/s | – |
| gpt-oss 20B OpenAI | Q4_K_M | offload | 11.8 GB | – | 81tok/sest. | 2967 tok/s | chat, coding, agents, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | offload | 18.8 GB | – | 25tok/sest. | 2283 tok/s | chat |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 28.8 GB | – | 25tok/sest. | 2494 tok/s | chat, coding, long documents |
| Qwen3 32B Alibaba Qwen | Q4_K_M | offload | 21.2 GB | – | 5tok/sest. | 269 tok/s | – |
| Mistral Small 3.2 24B Mistral AI | Q4_K_M | offload | 15.3 GB | – | 9tok/sest. | 461 tok/s | – |
| Gemma 3 27B | Q4_K_M | offload | 17.2 GB | – | 7tok/sest. | 390 tok/s | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | offload | 21.2 GB | – | 5tok/sest. | 280 tok/s | – |
| Mellum2.1 12B A2.5B Thinking JetBrains | Q6_K | offload | 11.6 GB | – | 90tok/sest. | 4749 tok/s | chat, coding, agents, long documents |
| Kimi VL A3B Moonshot AI | mlx-5bit | offload | 12.0 GB | – | 76tok/sest. | 3910 tok/s | chat, coding, agents |
| LFM2.5 24B A2B Liquid AI | Q4_K_M | offload | 15.7 GB | – | 44tok/sest. | 4326 tok/s | chat |
| GLM 4.1V 9B Thinking Z.ai | mlx-8bit | offload | 12.0 GB | – | 25tok/sest. | 1159 tok/s | chat |
| Devstral Small 2507 Mistral AI | Q4_K_M | offload | 15.3 GB | – | 9tok/sest. | 469 tok/s | – |
| Magistral Small 2506 Mistral AI | Q4_K_M | offload | 15.3 GB | – | 9tok/sest. | 469 tok/s | – |
| Magistral Small 2507 Mistral AI | Q4_K_M | offload | 15.3 GB | – | 9tok/sest. | 469 tok/s | – |
| Magistral Small 2509 Mistral AI | Q4_K_M | offload | 15.3 GB | – | 9tok/sest. | 461 tok/s | – |
| granite 4.2 30b IBM | Q4_K_M | offload | 19.5 GB | – | 5tok/sest. | 329 tok/s | – |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 91.6 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 102.2 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 74.5 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 72.8 GB | – | – | – | – |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | won't run | 40.0 GB | – | – | – | – |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | won't run | 51.9 GB | – | – | – | – |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | won't run | 46.2 GB | – | – | – | – |
| gpt-oss 120B OpenAI | Q4_K_M | won't run | 59.5 GB | – | – | – | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | won't run | 38.4 GB | – | – | – | – |
| GLM 4.5 Air Z.ai | Q2_K | won't run | 44.4 GB | – | – | – | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | won't run | 46.2 GB | – | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 42.8 GB | – | – | – | – |
| DeepSeek R1 DeepSeek | Q4_K_M | won't run | 377.9 GB | – | – | – | – |
| DeepSeek R1 0528 DeepSeek | Q4_K_M | won't run | 378.4 GB | – | – | – | – |
| DeepSeek R1 Distill Llama 70B DeepSeek | Q4_K_M | won't run | 42.8 GB | – | – | – | – |
| DeepSeek V3 0324 DeepSeek | Q4_K_M | won't run | 377.9 GB | – | – | – | – |
| DeepSeek V3.1 DeepSeek | Q4_K_M | won't run | 378.8 GB | – | – | – | – |
| DeepSeek V3.2 DeepSeek | Q4_K_M | won't run | 378.8 GB | – | – | – | – |
| DeepSeek V4 Flash 0731 DeepSeek | MXFP4 | won't run | 147.1 GB | – | – | – | – |
| DeepSeek V4 Flash Vision Exp DeepSeek | MXFP4 | won't run | 155.8 GB | – | – | – | – |
| Devstral 2 123B Instruct 2512 Mistral AI | Q8_0 | won't run | 127.2 GB | – | – | – | – |
| GLM 4.5V Z.ai | Q4_K_M | won't run | 61.4 GB | – | – | – | – |
| GLM 4.6V Z.ai | Q4_K_M | won't run | 67.8 GB | – | – | – | – |
| GLM 4.7 Z.ai | Q4_K_M | won't run | 205.2 GB | – | – | – | – |
| GLM 5.1 Z.ai | MXFP4 | won't run | 421.4 GB | – | – | – | – |
| GLM 5.2 Z.ai | UD-Q4_K_M | won't run | 435.3 GB | – | – | – | – |
| GLM 5.3 Z.ai | Q8_0 | won't run | 747.8 GB | – | – | – | – |
| Kimi K2 Moonshot AI | Q4_K_M | won't run | 579.4 GB | – | – | – | – |
| Kimi K2 Instruct 0905 Moonshot AI | Q4_K_M | won't run | 579.9 GB | – | – | – | – |
| Kimi K2 Thinking Moonshot AI | Q4_K_M | won't run | 579.9 GB | – | – | – | – |
| Kimi K2.5 Moonshot AI | Q4_K_M | won't run | 579.9 GB | – | – | – | – |
| MiniMax M2 MiniMax | Q4_K_M | won't run | 131.5 GB | – | – | – | – |
| MiniMax M2.1 MiniMax | Q4_K_M | won't run | 131.5 GB | – | – | – | – |
| MiniMax M2.5 MiniMax | MXFP4 | won't run | 118.0 GB | – | – | – | – |
| MiniMax M3 MiniMax | UD-Q4_K_M | won't run | 248.4 GB | – | – | – | – |
| Mistral Medium 3.5 128B Mistral AI | Q4_K_M | won't run | 73.3 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?
- Gemma 4 12B (Q6_K) fits fully in its memory at 8k context and generates at about 41 tok/s, an estimate from its memory bandwidth. 27 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.