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 64k context it runs 16 of the 113 open models we track fully in memory; the most capable is Gemma 4 12B at Q5_K_M, at about 42 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 @64k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Gemma 4 12B | Q5_K_M | fits | 10.2 GB | 118k190k with q8 cache | 42tok/sest. | 966 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q6_K | fits | 10.1 GB | 99k165k with q8 cache | 43tok/sest. | 1182 tok/s | chat, coding, long documents |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 7.3 GB | 174k256k with q8 cache | 62tok/sest. | 2049 tok/s | chat, coding, long documents |
| Gemma 4 E4B | Q8_0 | fits | 10.5 GB | 91k128k with q8 cache | 41tok/sest. | 1548 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | UD-Q6_K | fits | 10.7 GB | 77k125k with q8 cache | 62tok/sest. | 3305 tok/s | chat, coding |
| Qwen2.5 0.5B Alibaba Qwen | Q8_0 | fits | 2.3 GB | 32k | 312tok/sest. | 7329 tok/s | chat, coding, long documents |
| Qwen3.5 0.8B Alibaba Qwen | Q8_0 | fits | 2.6 GB | 256k | 255tok/sest. | 8310 tok/s | chat, coding, agents, long documents |
| Qwen3.5 2B Alibaba Qwen | Q5_K_M | fits | 3.2 GB | 256k | 184tok/sest. | 4530 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 1.5B DeepSeek | Q8_0 | fits | 4.6 GB | 128k | 110tok/sest. | 3036 tok/s | chat, coding, long documents |
| MiniCPM5 2B openbmb | Q8_0 | fits | 6.2 GB | 128k | 76tok/sest. | 1711 tok/s | chat, coding, agents, long documents |
| LFM2.5 2.6B Liquid AI | Q8_0 | fits | 7.5 GB | 124k128k with q8 cache | 60tok/sest. | 2075 tok/s | chat, coding, agents, long documents |
| LFM2.5 VL 3B Liquid AI | Q8_0 | fits | 7.5 GB | 32k | 60tok/sest. | 1951 tok/s | chat, coding, agents, long documents |
| GLM 4.6V Flash Z.ai | Q4_K_M | fits | 9.3 GB | 110k128k with q8 cache | 47tok/sest. | 663 tok/s | chat, coding, agents, long documents |
| granite vision 4.1 4b IBM | Q8_0 | fits | 9.4 GB | 87k128k with q8 cache | 46tok/sest. | 1303 tok/s | chat, coding |
| granite 4.2 3b IBM | Q8_0 | fits | 9.7 GB | 84k128k with q8 cache | 45tok/sest. | 1345 tok/s | chat, coding, agents |
| DeepSeek R1 Distill Qwen 7B DeepSeek | Q6_K | fits | 10.4 GB | 80k128k with q8 cache | 42tok/sest. | 983 tok/s | chat, coding |
| Qwen 3.8 27B Alibaba Qwen | UD-Q4_K_M | offload | 20.5 GB | – | 5tok/sest. | 293 tok/s | – |
| Qwen 3.6 27B Alibaba Qwen | Q4_K_M | offload | 20.9 GB | – | 5tok/sest. | 291 tok/s | – |
| Gemma 4 31B | Q4_K_M | offload | 23.9 GB | – | 4tok/sest. | 250 tok/s | – |
| Qwen 3.6 35B-A3B Alibaba Qwen | MXFP4 | offload | 22.6 GB | – | 17tok/sest. | 1688 tok/s | chat, coding |
| Qwen 3.5 27B Alibaba Qwen | Q4_K_M | offload | 20.8 GB | – | 5tok/sest. | 291 tok/s | – |
| Gemma 4 26B-A4B | UD-Q4_K_M | offload | 18.3 GB | – | 16tok/sest. | 1909 tok/s | chat, coding |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q4_K_M | offload | 22.9 GB | – | 17tok/sest. | 1679 tok/s | chat, coding |
| GLM 4.7 Flash Z.ai | Q4_K_M | offload | 21.4 GB | – | 9tok/sest. | 857 tok/s | chat |
| Devstral Small 2 24B Mistral AI | Q4_K_M | offload | 24.4 GB | – | 4tok/sest. | 267 tok/s | – |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 34.1 GB | – | 12tok/sest. | 1778 tok/s | – |
| gpt-oss 20B OpenAI | Q4_K_M | offload | 13.4 GB | – | 30tok/sest. | 1695 tok/s | chat, coding, agents, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 29.6 GB | – | 20tok/sest. | 1217 tok/s | chat, coding, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | offload | 24.4 GB | – | 6tok/sest. | 585 tok/s | chat |
| Qwen3 32B Alibaba Qwen | Q4_K_M | offload | 35.5 GB | – | 2tok/sest. | 121 tok/s | – |
| Gemma 3 27B | Q4_K_M | offload | 21.9 GB | – | 4tok/sest. | 319 tok/s | – |
| Mistral Small 3.2 24B Mistral AI | Q4_K_M | offload | 24.4 GB | – | 4tok/sest. | 267 tok/s | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | offload | 35.6 GB | – | 2tok/sest. | 149 tok/s | – |
| Ministral 3 14B Mistral AI | Q4_K_M | offload | 18.7 GB | 18k34k with q8 cache | 6tok/sest. | 424 tok/s | chat |
| Qwen3 14B Alibaba Qwen | Q4_K_M | offload | 19.5 GB | 14k26k with q8 cache | 5tok/sest. | 365 tok/s | chat |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q4_K_M | offload | 14.8 GB | 41k74k with q8 cache | 11tok/sest. | 666 tok/s | chat, coding |
| Qwen3 8B Alibaba Qwen | Q4_K_M | offload | 14.8 GB | 40k | 11tok/sest. | 666 tok/s | chat, coding |
| Phi-4 14B Microsoft | Q4_K_M | offload | 21.9 GB | 12k16k with q8 cache | 4tok/sest. | 347 tok/s | chat |
| Ministral 3 8B Mistral AI | Q4_K_M | offload | 14.4 GB | 42k76k with q8 cache | 12tok/sest. | 668 tok/s | chat, coding |
| Granite 4.2 8B IBM | Q4_K_M | offload | 16.2 GB | 34k62k with q8 cache | 8tok/sest. | 578 tok/s | chat, coding, agents |
| Llama 3.1 8B Meta | Q4_K_M | offload | 13.7 GB | 46k84k with q8 cache | 14tok/sest. | 749 tok/s | chat, coding |
| Mellum2.1 12B A2.5B Thinking JetBrains | Q6_K | offload | 12.7 GB | – | 43tok/sest. | 2863 tok/s | chat, coding, agents, long documents |
| Kimi VL A3B Moonshot AI | mlx-5bit | offload | 14.0 GB | – | 25tok/sest. | 1852 tok/s | chat, coding, agents |
| DeepSeek R1 Distill Llama 8B DeepSeek | Q4_K_M | offload | 13.7 GB | 46k84k with q8 cache | 14tok/sest. | 749 tok/s | chat, coding |
| Ministral 3 8B Reasoning 2512 Mistral AI | Q4_K_M | offload | 14.4 GB | 42k76k with q8 cache | 12tok/sest. | 668 tok/s | chat, coding, agents |
| GLM 4.1V 9B Thinking Z.ai | mlx-8bit | offload | 14.5 GB | – | 11tok/sest. | 571 tok/s | chat |
| LFM2.5 24B A2B Liquid AI | Q4_K_M | offload | 20.4 GB | – | 9tok/sest. | 1365 tok/s | chat |
| DeepSeek R1 Distill Qwen 14B DeepSeek | Q4_K_M | offload | 21.4 GB | 12k22k with q8 cache | 4tok/sest. | 318 tok/s | chat |
| Devstral Small 2507 Mistral AI | Q4_K_M | offload | 24.4 GB | – | 4tok/sest. | 271 tok/s | – |
| Magistral Small 2506 Mistral AI | Q4_K_M | offload | 24.4 GB | – | 4tok/sest. | 271 tok/s | – |
| Magistral Small 2507 Mistral AI | Q4_K_M | offload | 24.4 GB | – | 4tok/sest. | 271 tok/s | – |
| Magistral Small 2509 Mistral AI | Q4_K_M | offload | 24.4 GB | – | 4tok/sest. | 267 tok/s | – |
| granite 4.2 30b IBM | Q4_K_M | offload | 33.9 GB | – | 2tok/sest. | 177 tok/s | – |
| 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 | Q4_K_M | won't run | 61.8 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 | – | – | – | – |
| DeepSeek R1 DeepSeek | Q4_K_M | won't run | 382.0 GB | – | – | – | – |
| DeepSeek R1 0528 DeepSeek | Q4_K_M | won't run | 382.5 GB | – | – | – | – |
| DeepSeek R1 Distill Llama 70B DeepSeek | Q4_K_M | won't run | 60.7 GB | – | – | – | – |
| DeepSeek V3 0324 DeepSeek | Q4_K_M | won't run | 382.0 GB | – | – | – | – |
| DeepSeek V3.1 DeepSeek | Q4_K_M | won't run | 382.9 GB | – | – | – | – |
| DeepSeek V3.2 DeepSeek | Q4_K_M | won't run | 382.9 GB | – | – | – | – |
| DeepSeek V4 Flash 0731 DeepSeek | MXFP4 | won't run | 152.1 GB | – | – | – | – |
| DeepSeek V4 Flash Vision Exp DeepSeek | MXFP4 | won't run | 160.9 GB | – | – | – | – |
| Devstral 2 123B Instruct 2512 Mistral AI | Q8_0 | won't run | 146.8 GB | – | – | – | – |
| GLM 4.5V Z.ai | Q4_K_M | won't run | 71.8 GB | – | – | – | – |
| GLM 4.6V Z.ai | Q4_K_M | won't run | 78.2 GB | – | – | – | – |
| GLM 4.7 Z.ai | Q4_K_M | won't run | 225.7 GB | – | – | – | – |
| GLM 5.1 Z.ai | MXFP4 | won't run | 426.5 GB | – | – | – | – |
| GLM 5.2 Z.ai | UD-Q4_K_M | won't run | 440.4 GB | – | – | – | – |
| GLM 5.3 Z.ai | Q8_0 | won't run | 752.9 GB | – | – | – | – |
| Kimi K2 Moonshot AI | Q4_K_M | won't run | 583.5 GB | – | – | – | – |
| Kimi K2 Instruct 0905 Moonshot AI | Q4_K_M | won't run | 583.9 GB | – | – | – | – |
| Kimi K2 Thinking Moonshot AI | Q4_K_M | won't run | 583.9 GB | – | – | – | – |
| Kimi K2.5 Moonshot AI | Q4_K_M | won't run | 583.9 GB | – | – | – | – |
| MiniMax M2 MiniMax | Q4_K_M | won't run | 145.4 GB | – | – | – | – |
| MiniMax M2.1 MiniMax | Q4_K_M | won't run | 145.4 GB | – | – | – | – |
| MiniMax M2.5 MiniMax | MXFP4 | won't run | 131.8 GB | – | – | – | – |
| MiniMax M3 MiniMax | UD-Q4_K_M | won't run | 255.3 GB | – | – | – | – |
| Mistral Medium 3.5 128B Mistral AI | Q4_K_M | won't run | 92.8 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 (Q5_K_M) fits fully in its memory at 64k context and generates at about 42 tok/s, an estimate from its memory bandwidth. 16 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 97 GB at 64k 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 64k context. See the best hardware for local AI at every budget.