NVIDIA GeForce RTX 5080
16 GB · 960 GB/s · 360 W
In short
The NVIDIA GeForce RTX 5080 has 16 GB of GDDR7 memory with 960 GB/s of bandwidth, which sets how fast it generates text. At 8k context it runs 37 of the 113 open models we track fully in memory; the most capable is Devstral Small 2 24B at Q4_K_M, at about 38 tok/s (estimated). The best new price for the NVIDIA GeForce RTX 5080 in Canada is $2,370 at Amazon; used, it starts at $2,850 (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 |
|---|---|---|---|---|---|
| AmazonThe SFF-Ready ASUS Prime GeForce RTX 5080 16GB GDDR7 OC Edition Graphics Card | New | $2,370 | In stock | 1 h ago | Buy |
| AmazonASUS Prime GeForce RTX 5080 EVO 16GB GDDR7 OC Edition Gaming Graphics Card | New | $2,420 | In stock | 1 h ago | Buy |
| AmazonMSI Gaming RTX 5080 16G Ventus 3X OC White Graphics Card | New | $2,580 | In stock | 1 h ago | Buy |
| Amazonmsi Gaming RTX 5080 16G Ventus 3X OC Black Graphics Card | New | $2,640 | In stock | 1 h ago | Buy |
| AmazonASUS TUF Gaming GeForce RTX 5080 16GB GDDR7 BTF OC Edition Gaming Graphics Card | New | $2,650 | In stock | 1 h ago | Buy |
| eBayASUS TUF GAMING GeForce RTX 5080 16GB Oc New In Hand Shipping To Canada USA | New | $2,570+ $114 delivery | In stock | 2 h ago | Buy |
| AmazonASUS ProArt GeForce RTX 5080 16GB GDDR7 OC Edition Graphics Card | New | $2,700 | In stock | 1 h ago | Buy |
| AmazonGigabyte GeForce RTX 5080 Gaming OC 16G Graphics Card | New | $2,718 | In stock | 1 h ago | Buy |
| Amazonmsi Gaming RTX 5080 16G Inspire 3X OC Black Graphics Card | New | $2,720 | In stock | 1 h ago | Buy |
| eBayNEW Gigabyte RTX 5080 WINDFORCE SFF 16GB GDDR7 SFF-Ready | New | $2,700+ $30 delivery | In stock | 2 h ago | Buy |
| AmazonMSI Gaming RTX 5080 16G Gaming Trio OC White Graphics Card | New | $2,750 | In stock | 1 h ago | Buy |
| eBayASUS ROG Astral RTX 5080 16GB GDDR7 In White | New | $2,750 | In stock | 2 h ago | Buy |
| AmazonPNY NVIDIA GeForce RTX 5080 Slim Dual-Fan Dual-Slot OC Graphics Card | New | $2,763 | In stock | 1 h ago | Buy |
| eBayNVIDIA GeForce RTX 5080 16GB GDDR7 Founders Edition | used, asking price | $2,850 | In stock | 2 h ago | Buy |
| AmazonASUS ROG Astral GeForce RTX 5080 16GB GDDR7 OC Edition Gaming Graphics Card | New | $2,920 | In stock | 1 h ago | Buy |
| AmazonAsus Prime GeForce RTX 5080 16GB GDDR7 Prime-RTX5080-16G Pci-Express 5.0 Dlss… | New | $2,940 | In stock | 1 h ago | Buy |
| AmazonMSI Gaming RTX 5080 16G SUPRIM Liquid SOC Graphics Card | New | $2,950 | In stock | 1 h ago | Buy |
| eBayAORUS Master RTX 5080 Graphics Card | New | $2,999 | In stock | 2 h ago | Buy |
| AmazonGIGABYTE AORUS GeForce RTX 5080 Master ICE 16G Graphics Card | New | $3,000 | In stock | 1 h ago | Buy |
| eBayAsus ROG Astral GeForce RTX 5080 16GB GDDR7 OC Edition | New | $3,000 | In stock | 2 h ago | Buy |
| AmazonASUS ROG Astral GeForce RTX 5080 16GB GDDR7 White OC Edition Graphics Card | New | $3,060 | In stock | 1 h ago | Buy |
| eBayASUS PRIME GeForce RTX 5080 OC 16GB / Gaming Graphics Card | New | $3,100+ $160 delivery | In stock | 2 h ago | Buy |
| eBayMSI GeForce RTX 5080 Gaming Trio OC 16GB GDDR7 Video Card | New | $3,500+ $60 delivery | In stock | 2 h ago | Buy |
| eBayASUS TUF GAMING GeForce RTX 5080 16GB Oc New In Hand Shipping To Canada + USA | New | $3,700 | In stock | 2 h ago | Buy |
| eBayAsus ROG Astral GeForce RTX 5080 16GB GDDR7 OC HATSUNE MIKU EDITION | New | $7,000 | In stock | 2 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 |
|---|---|---|---|---|---|---|---|
| Devstral Small 2 24B Mistral AI | Q4_K_M | fits | 15.3 GB | 8k15k with q8 cache | 38tok/sest. | 1003 tok/s | chat |
| gpt-oss 20B OpenAI | MXFP4 | fits | 12.2 GB | 116k128k with q8 cache | 136tok/sest. | 5517 tok/s | chat, coding, agents, long documents |
| Gemma 4 12B | Q8_0 | fits | 13.0 GB | 120k193k with q8 cache | 45tok/sest. | 2024 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 9.9 GB | 155k256k with q8 cache | 60tok/sest. | 2563 tok/s | chat, coding, long documents |
| Mistral Small 3.2 24B Mistral AI | Q4_K_M | fits | 15.3 GB | 8k15k with q8 cache | 38tok/sest. | 1003 tok/s | chat |
| Qwen3 14B Alibaba Qwen | Q6_K | fits | 13.3 GB | 21k38k with q8 cache | 44tok/sest. | 1546 tok/s | chat |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 15.4 GB | 8k14k with q8 cache | 38tok/sest. | 1663 tok/s | chat |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 10.0 GB | 44k81k with q8 cache | 60tok/sest. | 2705 tok/s | chat, coding |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 10.0 GB | 40k | 60tok/sest. | 2705 tok/s | chat, coding |
| Phi-4 14B Microsoft | Q6_K | fits | 13.5 GB | 16k | 43tok/sest. | 1556 tok/s | chat |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 5.2 GB | 256k | 124tok/sest. | 5159 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 10.2 GB | 45k82k with q8 cache | 59tok/sest. | 2528 tok/s | chat, coding |
| Granite 4.2 8B IBM | Q8_0 | fits | 10.7 GB | 36k67k with q8 cache | 56tok/sest. | 2509 tok/s | chat, coding, agents |
| Gemma 4 E4B | Q8_0 | fits | 8.6 GB | 128k | 70tok/sest. | 3106 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 9.5 GB | 119k125k with q8 cache | 244tok/sest. | 18126 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 7.9 GB | 65k118k with q8 cache | 78tok/sest. | 2793 tok/s | chat, coding |
| Qwen2.5 0.5B Alibaba Qwen | Q8_0 | fits | 1.3 GB | 32k | 942tok/sest. | 37937 tok/s | chat, coding, long documents |
| Qwen3.5 0.8B Alibaba Qwen | Q8_0 | fits | 1.6 GB | 256k | 639tok/sest. | 26101 tok/s | chat, coding, agents, long documents |
| Qwen3.5 2B Alibaba Qwen | Q5_K_M | fits | 2.2 GB | 256k | 383tok/sest. | 10707 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 1.5B DeepSeek | Q8_0 | fits | 2.7 GB | 128k | 280tok/sest. | 11940 tok/s | chat, coding, long documents |
| MiniCPM5 2B openbmb | Q8_0 | fits | 3.6 GB | 128k | 196tok/sest. | 7893 tok/s | chat, coding, agents, long documents |
| LFM2.5 2.6B Liquid AI | Q8_0 | fits | 3.9 GB | 128k | 176tok/sest. | 7944 tok/s | chat, coding, agents, long documents |
| LFM2.5 VL 3B Liquid AI | Q8_0 | fits | 3.9 GB | 32k | 176tok/sest. | 7010 tok/s | chat, coding, agents, long documents |
| granite vision 4.1 4b IBM | Q8_0 | fits | 4.7 GB | 128k | 139tok/sest. | 5257 tok/s | chat, coding, long documents |
| granite 4.2 3b IBM | Q8_0 | fits | 5.0 GB | 128k | 130tok/sest. | 5652 tok/s | chat, coding, agents, long documents |
| Kimi VL A3B Moonshot AI | mlx-6bit | fits | 13.9 GB | 51k84k with q8 cache | 128tok/sest. | 7363 tok/s | chat, coding, agents, long documents |
| Mellum2.1 12B A2.5B Thinking JetBrains | Q8_0 | fits | 12.9 GB | 128k | 127tok/sest. | 8734 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 7B DeepSeek | Q8_0 | fits | 8.7 GB | 118k128k with q8 cache | 70tok/sest. | 3013 tok/s | chat, coding, long documents |
| DeepSeek R1 Distill Llama 8B DeepSeek | Q8_0 | fits | 9.7 GB | 51k93k with q8 cache | 62tok/sest. | 2793 tok/s | chat, coding |
| Ministral 3 8B Reasoning 2512 Mistral AI | Q8_0 | fits | 10.2 GB | 45k82k with q8 cache | 59tok/sest. | 2528 tok/s | chat, coding, agents |
| GLM 4.6V Flash Z.ai | Q8_0 | fits | 10.4 GB | 119k128k with q8 cache | 58tok/sest. | 2185 tok/s | chat, coding, agents, long documents |
| GLM 4.1V 9B Thinking Z.ai | mlx-8bit | fits | 12.0 GB | 64k | 49tok/sest. | 2185 tok/s | chat, coding, long documents |
| DeepSeek R1 Distill Qwen 14B DeepSeek | Q6_K | fits | 13.5 GB | 17k32k with q8 cache | 43tok/sest. | 1515 tok/s | chat |
| Devstral Small 2507 Mistral AI | Q4_K_M | fits | 15.3 GB | 8k15k with q8 cache | 38tok/sest. | 1021 tok/s | chat |
| Magistral Small 2506 Mistral AI | Q4_K_M | fits | 15.3 GB | 8k15k with q8 cache | 38tok/sest. | 1021 tok/s | chat |
| Magistral Small 2507 Mistral AI | Q4_K_M | fits | 15.3 GB | 8k15k with q8 cache | 38tok/sest. | 1021 tok/s | chat |
| Magistral Small 2509 Mistral AI | Q4_K_M | fits | 15.3 GB | 8k15k with q8 cache | 38tok/sest. | 1003 tok/s | chat |
| Qwen 3.8 27B Alibaba Qwen | UD-Q4_K_M | offload | 16.7 GB | – | 19tok/sest. | 845 tok/s | chat |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | offload | 40.0 GB | – | 13tok/sest. | 1468 tok/s | – |
| Qwen 3.6 27B Alibaba Qwen | Q4_K_M | offload | 17.0 GB | – | 17tok/sest. | 835 tok/s | chat |
| Gemma 4 31B | Q4_K_M | offload | 19.2 GB | – | 10tok/sest. | 679 tok/s | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | offload | 38.4 GB | – | 20tok/sest. | 1949 tok/s | chat |
| Qwen 3.6 35B-A3B Alibaba Qwen | MXFP4 | offload | 21.2 GB | – | 46tok/sest. | 6329 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q4_K_M | offload | 17.0 GB | – | 17tok/sest. | 838 tok/s | chat |
| Gemma 4 26B-A4B | UD-Q4_K_M | offload | 16.9 GB | – | 62tok/sest. | 5488 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q4_K_M | offload | 21.5 GB | – | 44tok/sest. | 6284 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q4_K_M | offload | 18.2 GB | – | 39tok/sest. | 3853 tok/s | chat, coding |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 33.4 GB | – | 16tok/sest. | 5313 tok/s | chat |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | offload | 18.8 GB | – | 47tok/sest. | 4894 tok/s | chat |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 28.8 GB | – | 32tok/sest. | 5165 tok/s | chat, coding, long documents |
| Qwen3 32B Alibaba Qwen | Q4_K_M | offload | 21.2 GB | – | 7tok/sest. | 570 tok/s | – |
| Gemma 3 27B | Q4_K_M | offload | 17.2 GB | – | 16tok/sest. | 843 tok/s | chat |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | offload | 21.2 GB | – | 7tok/sest. | 595 tok/s | – |
| LFM2.5 24B A2B Liquid AI | Q4_K_M | offload | 15.7 GB | 4k8k with q8 cache | 155tok/sest. | 9416 tok/s | chat, coding, agents |
| granite 4.2 30b IBM | Q4_K_M | offload | 19.5 GB | – | 9tok/sest. | 702 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 | – | – | – | – |
| 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 | – | – | – | – |
| 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 5080
- Memory
- 16 GB GDDR7
- Memory bus
- 256-bit
- Memory bandwidth
- 960 GB/s
- FP16 compute
- 113 TFLOPS
- Software
- CUDA
- Board power
- 360 W
- PCIe generation
- Gen 5
- PCIe lanes
- x16
Compare with
Questions
- How much memory does the NVIDIA GeForce RTX 5080 have for AI models?
- The NVIDIA GeForce RTX 5080 has 16 GB of GDDR7 memory with 960 GB/s of bandwidth, which sets how fast it generates text.
- What is the best model the NVIDIA GeForce RTX 5080 can run locally?
- Devstral Small 2 24B (Q4_K_M) fits fully in its memory at 8k context and generates at about 38 tok/s, an estimate from its memory bandwidth. 37 of the 113 models we track fit at that context.
- Can the NVIDIA GeForce RTX 5080 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 5080 and system RAM can hold.
- How much does the NVIDIA GeForce RTX 5080 cost in Canada?
- The best new price for the NVIDIA GeForce RTX 5080 in Canada is $2,370 at Amazon; used, it starts at $2,850 (asking price).
Speeds on this page are for 8k context. See the best hardware for local AI at every budget.