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 128k context it runs 23 of the 113 open models we track fully in memory; the most capable is Gemma 4 26B-A4B at Q5_K_M, at about 43 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 @128k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Gemma 4 26B-A4B | Q5_K_M | fits | 22.5 GB | 138k221k with q8 cache | 43tok/sest. | 2024 tok/s | chat, coding, agents, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 16.1 GB | 128k | 44tok/sest. | 1310 tok/s | chat, coding, agents, long documents |
| Gemma 4 12B | Q8_0 | fits | 16.0 GB | 256k | 28tok/sest. | 841 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 14.8 GB | 256k | 30tok/sest. | 1000 tok/s | chat, coding, long documents |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 10.1 GB | 256k | 47tok/sest. | 1558 tok/s | chat, coding, long documents |
| Gemma 4 E4B | Q8_0 | fits | 13.0 GB | 128k | 35tok/sest. | 1402 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 16.2 GB | 125k | 33tok/sest. | 1874 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q4_K_M | fits | 22.4 GB | 128k | 19tok/sest. | 553 tok/s | chat, coding, long documents |
| Qwen2.5 0.5B Alibaba Qwen | Q8_0 | fits | 3.8 GB | 32k | 195tok/sest. | 4211 tok/s | chat, coding, long documents |
| Qwen3.5 0.8B Alibaba Qwen | Q8_0 | fits | 4.1 GB | 256k | 171tok/sest. | 5616 tok/s | chat, coding, agents, long documents |
| Qwen3.5 2B Alibaba Qwen | Q5_K_M | fits | 4.7 GB | 256k | 136tok/sest. | 3591 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 1.5B DeepSeek | Q8_0 | fits | 7.1 GB | 128k | 74tok/sest. | 1882 tok/s | chat, coding, long documents |
| Mellum2.1 12B A2.5B Thinking JetBrains | Q8_0 | fits | 15.7 GB | 128k | 55tok/sest. | 2168 tok/s | chat, coding, agents, long documents |
| MiniCPM5 2B openbmb | Q8_0 | fits | 9.6 GB | 128k | 50tok/sest. | 1012 tok/s | chat, coding, agents, long documents |
| LFM2.5 2.6B Liquid AI | Q8_0 | fits | 12.0 GB | 128k | 38tok/sest. | 1298 tok/s | chat, coding, agents, long documents |
| LFM2.5 VL 3B Liquid AI | Q8_0 | fits | 12.0 GB | 32k | 38tok/sest. | 1248 tok/s | chat, coding, agents, long documents |
| Kimi VL A3B Moonshot AI | mlx-8bit | fits | 22.2 GB | 128k | 34tok/sest. | 1361 tok/s | chat, coding, agents, long documents |
| granite vision 4.1 4b IBM | Q8_0 | fits | 15.2 GB | 128k | 29tok/sest. | 801 tok/s | chat, coding, long documents |
| granite 4.2 3b IBM | Q8_0 | fits | 15.5 GB | 128k | 29tok/sest. | 817 tok/s | chat, coding, agents, long documents |
| GLM 4.6V Flash Z.ai | Q8_0 | fits | 16.2 GB | 128k | 27tok/sest. | 439 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 7B DeepSeek | Q8_0 | fits | 16.4 GB | 128k | 27tok/sest. | 672 tok/s | chat, coding, long documents |
| GLM 4.1V 9B Thinking Z.ai | mlx-8bit | fits | 17.8 GB | 64k | 24tok/sest. | 439 tok/s | chat, coding, long documents |
| DeepSeek R1 Distill Llama 8B DeepSeek | Q4_K_M | fits | 22.4 GB | 128k | 19tok/sest. | 553 tok/s | chat, coding, long documents |
| Qwen 3.8 27B Alibaba Qwen | UD-Q4_K_M | offload | 25.3 GB | 91k159k with q8 cache | 10tok/sest. | 321 tok/s | chat, coding |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | offload | 44.0 GB | – | 9tok/sest. | 426 tok/s | chat |
| Qwen 3.6 27B Alibaba Qwen | Q4_K_M | offload | 25.7 GB | 86k150k with q8 cache | 9tok/sest. | 318 tok/s | chat, coding |
| Gemma 4 31B | Q4_K_M | offload | 29.7 GB | 45k89k with q8 cache | 5tok/sest. | 277 tok/s | chat |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | offload | 42.1 GB | – | 11tok/sest. | 377 tok/s | chat, coding |
| Qwen 3.6 35B-A3B Alibaba Qwen | MXFP4 | offload | 24.6 GB | 56k87k with q8 cache | 36tok/sest. | 1587 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q4_K_M | offload | 25.6 GB | 87k152k with q8 cache | 9tok/sest. | 319 tok/s | chat, coding |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q4_K_M | offload | 24.9 GB | 44k70k with q8 cache | 34tok/sest. | 1575 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q4_K_M | offload | 25.5 GB | 80k139k with q8 cache | 14tok/sest. | 732 tok/s | chat, coding, agents |
| Devstral Small 2 24B Mistral AI | Q4_K_M | offload | 35.2 GB | 51k93k with q8 cache | 3tok/sest. | 238 tok/s | chat, coding |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 35.2 GB | – | 17tok/sest. | 1741 tok/s | chat, coding, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 30.9 GB | – | 30tok/sest. | 1042 tok/s | chat, coding, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | offload | 31.1 GB | 44k79k with q8 cache | 6tok/sest. | 402 tok/s | chat, coding, agents |
| Gemma 3 27B | Q4_K_M | offload | 27.7 GB | 70k128k with q8 cache | 7tok/sest. | 372 tok/s | chat, coding |
| Mistral Small 3.2 24B Mistral AI | Q4_K_M | offload | 35.2 GB | 51k93k with q8 cache | 3tok/sest. | 238 tok/s | chat, coding |
| Ministral 3 14B Mistral AI | Q4_K_M | offload | 29.5 GB | 86k157k with q8 cache | 5tok/sest. | 336 tok/s | chat, coding |
| Qwen3 14B Alibaba Qwen | Q4_K_M | offload | 30.2 GB | 40k | 5tok/sest. | 283 tok/s | chat, coding |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q4_K_M | offload | 24.5 GB | 116k128k with q8 cache | 11tok/sest. | 484 tok/s | chat, coding |
| Qwen3 8B Alibaba Qwen | Q4_K_M | offload | 24.5 GB | 40k | 11tok/sest. | 484 tok/s | chat, coding |
| Phi-4 14B Microsoft | Q4_K_M | offload | 35.1 GB | 16k | 3tok/sest. | 261 tok/s | chat, coding |
| Ministral 3 8B Mistral AI | Q4_K_M | offload | 23.7 GB | 121k220k with q8 cache | 14tok/sest. | 501 tok/s | chat, coding |
| Granite 4.2 8B IBM | Q4_K_M | offload | 27.0 GB | 102k128k with q8 cache | 7tok/sest. | 415 tok/s | chat, coding, agents |
| Ministral 3 8B Reasoning 2512 Mistral AI | Q4_K_M | offload | 23.7 GB | 121k220k with q8 cache | 14tok/sest. | 501 tok/s | chat, coding, agents |
| LFM2.5 24B A2B Liquid AI | Q4_K_M | offload | 26.1 GB | 88k128k with q8 cache | 11tok/sest. | 1005 tok/s | chat, coding, agents |
| DeepSeek R1 Distill Qwen 14B DeepSeek | Q4_K_M | offload | 34.2 GB | 68k126k with q8 cache | 4tok/sest. | 234 tok/s | chat, coding |
| Devstral Small 2507 Mistral AI | Q4_K_M | offload | 35.2 GB | 51k93k with q8 cache | 3tok/sest. | 241 tok/s | chat, coding |
| Magistral Small 2506 Mistral AI | Q4_K_M | offload | 35.2 GB | 40k | 3tok/sest. | 241 tok/s | chat, coding |
| Magistral Small 2507 Mistral AI | Q4_K_M | offload | 35.2 GB | 40k | 3tok/sest. | 241 tok/s | chat, coding |
| Magistral Small 2509 Mistral AI | Q4_K_M | offload | 35.2 GB | 51k93k with q8 cache | 3tok/sest. | 238 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 | – | – | – | – |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | won't run | 53.9 GB | – | – | – | – |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | won't run | 50.1 GB | – | – | – | – |
| gpt-oss 120B OpenAI | Q4_K_M | won't run | 64.8 GB | – | – | – | – |
| GLM 4.5 Air Z.ai | Q2_K | won't run | 67.1 GB | – | – | – | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | won't run | 50.1 GB | – | – | – | – |
| Qwen3 32B Alibaba Qwen | Q4_K_M | won't run | 52.3 GB | 12k23k with q8 cache | – | – | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | won't run | 52.3 GB | 12k23k with q8 cache | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 81.5 GB | – | – | – | – |
| DeepSeek R1 DeepSeek | Q4_K_M | won't run | 387.1 GB | – | – | – | – |
| DeepSeek R1 0528 DeepSeek | Q4_K_M | won't run | 387.6 GB | – | – | – | – |
| DeepSeek R1 Distill Llama 70B DeepSeek | Q4_K_M | won't run | 81.5 GB | – | – | – | – |
| DeepSeek V3 0324 DeepSeek | Q4_K_M | won't run | 387.1 GB | – | – | – | – |
| DeepSeek V3.1 DeepSeek | Q4_K_M | won't run | 388.0 GB | – | – | – | – |
| DeepSeek V3.2 DeepSeek | Q4_K_M | won't run | 388.0 GB | – | – | – | – |
| DeepSeek V4 Flash 0731 DeepSeek | MXFP4 | won't run | 158.2 GB | – | – | – | – |
| DeepSeek V4 Flash Vision Exp DeepSeek | MXFP4 | won't run | 167.0 GB | – | – | – | – |
| Devstral 2 123B Instruct 2512 Mistral AI | Q8_0 | won't run | 169.6 GB | – | – | – | – |
| GLM 4.5V Z.ai | Q4_K_M | won't run | 84.1 GB | – | – | – | – |
| GLM 4.6V Z.ai | Q4_K_M | won't run | 90.5 GB | – | – | – | – |
| GLM 4.7 Z.ai | Q4_K_M | won't run | 249.4 GB | – | – | – | – |
| GLM 5.1 Z.ai | MXFP4 | won't run | 432.8 GB | – | – | – | – |
| GLM 5.2 Z.ai | UD-Q4_K_M | won't run | 446.7 GB | – | – | – | – |
| GLM 5.3 Z.ai | Q8_0 | won't run | 759.1 GB | – | – | – | – |
| Kimi K2 Moonshot AI | Q4_K_M | won't run | 588.6 GB | – | – | – | – |
| Kimi K2 Instruct 0905 Moonshot AI | Q4_K_M | won't run | 589.0 GB | – | – | – | – |
| Kimi K2 Thinking Moonshot AI | Q4_K_M | won't run | 589.0 GB | – | – | – | – |
| Kimi K2.5 Moonshot AI | Q4_K_M | won't run | 589.0 GB | – | – | – | – |
| MiniMax M2 MiniMax | Q4_K_M | won't run | 161.7 GB | – | – | – | – |
| MiniMax M2.1 MiniMax | Q4_K_M | won't run | 161.7 GB | – | – | – | – |
| MiniMax M2.5 MiniMax | MXFP4 | won't run | 148.1 GB | – | – | – | – |
| MiniMax M3 MiniMax | UD-Q4_K_M | won't run | 263.6 GB | – | – | – | – |
| Mistral Medium 3.5 128B Mistral AI | Q4_K_M | won't run | 115.6 GB | – | – | – | – |
| granite 4.2 30b IBM | Q4_K_M | won't run | 50.6 GB | 19k35k with q8 cache | – | – | – |
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 26B-A4B (Q5_K_M) fits fully in its memory at 128k context and generates at about 43 tok/s, an estimate from its memory bandwidth. 23 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 103 GB at 128k 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 128k context. See the best hardware for local AI at every budget.